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Jiang, Liuyue, Nguyen Khoi Tran, and Muhammad Ali Babar. "Mod2Dash: A Framework for Model-Driven Dashboards Generation." Proceedings of the ACM on Human-Computer Interaction 6, EICS (June 14, 2022): 1–28. http://dx.doi.org/10.1145/3534526.
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The construction of an interactive dashboard involves deciding on what information to present and how to display it and implementing those design decisions to create an operational dashboard. Traditionally, a dashboard's design is implied in the deployed dashboard rather captured explicitly as a digital artifact, preventing it from being backed up, version-controlled, and shared. Moreover, practitioners have to implement this implicit design manually by coding or configuring it on a dashboard platform. This paper proposes Mod2Dash, a software framework that enables practitioners to capture their dashboard designs as models and generate operational dashboards automatically from these models. The framework also provides a GUI-driven customization approach for practitioners to fine-tune the auto-generated dashboards and update their models. With these abilities, Mod2Dash enables practitioners to rapidly prototype and deploy dashboards for both operational and research purposes. We evaluated the framework's effectiveness in a case study on cyber security visualization for decision support. A proof-of-concept of Mod2Dash was employed to model and reconstruct 31 diverse real-world cyber security dashboards. A human-assisted comparison between the Mod2Dash-generated dashboards and the baseline dashboards shows a close matching, indicating the framework's effectiveness for real-world scenarios.
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Wang, Han, Tao Huang, Yuan Zhao, and Shengze Hu. "The Impact of Dashboard Feedback Type on Learning Effectiveness, Focusing on Learner Differences." Sustainability 15, no. 5 (March 2, 2023): 4474. http://dx.doi.org/10.3390/su15054474.
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With the exponential growth of educational data, increasing attention has been given to student learning supported by learning analytics dashboards. Related research has indicated that dashboards relying on descriptive analytics are deficient compared to more advanced analytics. However, there is a lack of empirical data to demonstrate the performance and differences between different types of analytics in dashboards. To investigate these, the study used a controlled, between-groups experimental method to compare the effects of descriptive and prescriptive dashboards on learning outcomes. Based on the learning analytics results, the descriptive dashboard describes the learning state and the prescriptive dashboard provides suggestions for learning paths. The results show that both descriptive and prescriptive dashboards can effectively promote students’ cognitive development. The advantage of prescriptive dashboard over descriptive dashboard is its promotion in learners’ learning strategies. In addition, learners’ prior knowledge and learning strategies determine the extent of the impact of dashboard feedback on learning outcomes.
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Vázquez-Ingelmo, Andrea, Francisco José García-Peñalvo, Roberto Therón, and Miguel Ángel Conde. "Representing Data Visualization Goals and Tasks through Meta-Modeling to Tailor Information Dashboards." Applied Sciences 10, no. 7 (March 27, 2020): 2306. http://dx.doi.org/10.3390/app10072306.
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Information dashboards are everywhere. They support knowledge discovery in a huge variety of contexts and domains. Although powerful, these tools can be complex, not only for the end-users but also for developers and designers. Information dashboards encode complex datasets into different visual marks to ease knowledge discovery. Choosing a wrong design could compromise the entire dashboard’s effectiveness, selecting the appropriate encoding or configuration for each potential context, user, or data domain is a crucial task. For these reasons, there is a necessity to automatize the recommendation of visualizations and dashboard configurations to deliver tools adapted to their context. Recommendations can be based on different aspects, such as user characteristics, the data domain, or the goals and tasks that will be achieved or carried out through the visualizations. This work presents a dashboard meta-model that abstracts all these factors and the integration of a visualization task taxonomy to account for the different actions that can be performed with information dashboards. This meta-model has been used to design a domain specific language to specify dashboards requirements in a structured way. The ultimate goal is to obtain a dashboard generation pipeline to deliver dashboards adapted to any context, such as the educational context, in which a lot of data are generated, and there are several actors involved (students, teachers, managers, etc.) that would want to reach different insights regarding their learning performance or learning methodologies.
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Opiyo, Stephen Obol, Racheal Nalunkuma, Stella Maris Nanyonga, Nathan Mugenyi, and Andrew Marvin Kanyike. "Empowering Global AMR Research Community: Interactive GIS dashboards for AMR data analysis and informed decision-making." Wellcome Open Research 9 (January 14, 2025): 234. https://doi.org/10.12688/wellcomeopenres.21010.3.
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Background Antimicrobial Resistance (AMR) poses a global public health challenge, necessitating advanced tools to support data analysis, and visualization. This study introduces interactive Geographic Information System (GIS) dashboards as innovative platforms for AMR data analysis and visualization, offering comprehensive insights into resistance patterns, and geographic distribution across multiple countries, with a specific focus on Africa. Methods Three GIS dashboards were developed to address key objectives. The first integrates over 860,000 ATLAS data points from 83 countries, providing an interactive platform. Users can filter data by variables such as country, year, and region, enhancing data accessibility and visualization. The second dashboard focuses on the ATLAS dataset for Kenya and Uganda, incorporating detailed variables such as species, sample sources, and resistance phenotypes. The third involves Kampala, Uganda, to fill data gaps, enabling localized analyses through interactive features like geographic mapping and sample breakdowns by year. Results The dashboards demonstrated significant utility in visualizing and analyzing AMR data. The global dashboard effectively highlighted geographical trends and exposed critical data gaps, such as the scarcity of AMR records from Africa. The Kenya and Uganda dashboard revealed alarming resistance patterns, including the ineffectiveness of Ceftriaxone, Erythromycin, Levofloxacin, and Ampicillin in combating E. coli isolates. Notably, the Kampala-specific dashboard utilized simulated data to illustrate the potential of this tool for in-depth regional analysis of antibiotic resistance. This simulation showcased the dashboard's capability to incorporate real-time filtering, provide detailed insights into sample sources, and track trends. Across all dashboards, the interactivity significantly streamlined the identification of key trends, simplifying data interpretation for diverse users and supporting informed decision-making processes. Conclusions Interactive GIS dashboards offer a more effective alternative to spreadsheets for AMR data analysis. While spreadsheets provide a basic structure for organizing and managing data, dashboards deliver dynamic, user-friendly interfaces that enable advanced visualization, real-time updates, and intuitive data exploration. Dashboards also enhance accessibility and communication by presenting complex datasets in a more interactive and visually engaging format, making them more efficient for analyzing and interpreting AMR data.
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Perry, Laura M., Nisha A. Mohindra, Ava Coughlin, Katy Bedjeti, Cynthia Barnard, Sofia F. Garcia, Devin Peipert, et al. "Implementation of patient-reported outcome dashboards within the electronic health record to support shared decision-making in serious chronic illness." BMJ Open Quality 14, no. 1 (January 2025): e002837. https://doi.org/10.1136/bmjoq-2024-002837.
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BackgroundAttending to patient-reported outcomes (PROs) using data visualisation dashboards could enhance shared decision-making (SDM) and care delivery for serious chronic illnesses. However, few studies have evaluated real-world strategies and resulting implementation outcomes of PRO dashboards.MethodFrom June 2020 to January 2022, we implemented an electronic health record (EHR)-integrated PRO dashboard for advanced cancer and chronic kidney disease. Based on implementation science guidelines (eg, Framework for Reporting Adaptations and Modifications to Evidence-based Implementation Strategies, Reach, Effectiveness, Adoption, Implementation, Maintenance), we monitored use and captured adaptations in implementation strategies. Clinicians (n=7) and patients (n=30) responded to a 6-month survey that included appropriateness, acceptability, adoption and sustainability.ResultsOut of 1450 eligible patients, 748 (52%) completed at least one PRO invitation (reach). 37% of PRO questionnaire invitations (1421/3882) were completed (fidelity to PRO completion), with higher rates occurring when more implementation strategies were adopted. Among completed postvisit surveys from patients, 57% indicated that the dashboard was discussed at an eligible visit (fidelity to dashboard use). In the 6-month survey, patients endorsed the dashboard’s acceptability and appropriateness: 77% felt it frequently provided clear information and 63% felt it frequently met their needs. Most patients (77%) and clinicians (86%) valued the dashboard for increasing SDM, and 57% of clinicians endorsed the dashboard’s clinical sustainability.DiscussionThis pilot study demonstrated the clinical appropriateness, acceptability and feasibility of implementing an EHR-integrated PRO dashboard for advanced cancer and chronic kidney disease. Results also point to areas for improvement, including strategies to further support patient and clinician engagement, PRO completion and sustainability in real-world implementation.
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van Leeuwen, Anouschka, Carolien A. N. Knoop-van Campen, Inge Molenaar, and Nikol Rummel. "How Teacher Characteristics Relate to How Teachers Use Dashboards: Results From Two Case Studies in K-12." Journal of Learning Analytics 8, no. 2 (September 3, 2021): 6–21. http://dx.doi.org/10.18608/jla.2021.7325.
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Teacher dashboards are a specific form of analytics in which visual displays provide teachers with information about their students; for example, concerning student progress and performance on tasks during lessons or lectures. In the present paper, we focus on the role of teacher dashboards in the context of teacher decision-making in K–12 education. There is large variation in teacher dashboard use in the classroom, which could be explained by teacher characteristics. Therefore, we investigate the role of teacher characteristics — such as experience, age, gender, and self-efficacy — in how teachers use dashboards. More specifically, we present two case studies to understand how diversity in teacher dashboard use is related to teacher characteristics. Surprisingly, in both case studies, teacher characteristics were not associated with dashboard use. Based on our findings, we propose an initial framework to understand what contributes to diversity of dashboard use. This framework might support future research to attribute diversity in dashboard use. This paper should be seen as a first step in examining the role of teacher characteristics in dashboard use in K–12 education.
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Bennett, Liz, and Sue Folley. "Dashboard literacy." Proceedings of the International Conference on Networked Learning 11 (May 14, 2018): 417–24. http://dx.doi.org/10.54337/nlc.v11.8793.
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Dashboards are the graphical interface that manipulate and present data about students’ learning behaviours (attendance, visits to the library, attainment etc.). Although only a few UK HEIs have developed a dashboard for students, most other UK HEIs have an aspiration to develop their use (Sclater 2014). Hence it is timely and significant to understand the ways that students respond to seeing data presented to them in the form of a dashboard. This paper discusses and conceptualises the findings from a small scale study, funded by Society for Research in Higher Education. The study involved twenty-four final year undergraduate students in a single faculty in a UK University. The study focussed on the ways that students interpret and respond to seeing data about their learning presented via a dashboard. Sutton’s (2012) three pillars of feedback literacy: knowing, becoming and acting, were employed to understand the potential of dashboards for supporting students’ motivation towards their learning. The paper suggests that, similar to feedback literacy, there is a type of literacy associated with dashboards that has components of knowing, becoming and acting and that employing these concepts helps us to understand how students’ respond to dashboards. By identifying students' engagement with dashboards as a literacy practice rather than a technical skill or understanding, the paper argues that we need to focus on students' growing identity that is embedded into a sense of being and is individually experienced and constructed. Hence the notion of dashboard literacy suggests that institutions need to work with students to develop their personal and reflective processes to enhance the way that dashboards are interpreted. The paper provides evidence that students may be motivated by seeing their data presented in a dashboard format and this can lead to changes in behaviour which are likely to lead to improved student outcomes and attainment. It also illustrates how students’ engagement with dashboards is highly individual and dependent on their personal disposition and orientation to learning. Hence their use needs to be treated cautiously recognising the power that these tools have to shape impact on students' well-being alongside their potential.
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Siette, Joyce, Laura Dodds, Fariba Sharifi, Amy Nguyen, Melissa Baysari, Karla Seaman, Magdalena Raban, Nasir Wabe, and Johanna Westbrook. "Usability and Acceptability of Clinical Dashboards in Aged Care: Systematic Review." JMIR Aging 6 (June 19, 2023): e42274. http://dx.doi.org/10.2196/42274.
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Background The use of clinical dashboards in aged care systems to support performance review and improve outcomes for older adults receiving care is increasing. Objective Our aim was to explore evidence from studies of the acceptability and usability of clinical dashboards including their visual features and functionalities in aged care settings. Methods A systematic review was conducted using 5 databases (MEDLINE, Embase, PsycINFO, Cochrane Library, and CINAHL) from inception to April 2022. Studies were included in the review if they were conducted in aged care environments (home-based community care, retirement villages, and long-term care) and reported a usability or acceptability evaluation of a clinical dashboard for use in aged care environments, including specific dashboard visual features (eg, a qualitative summary of individual user experience or metrics from a usability scale). Two researchers independently reviewed the articles and extracted the data. Data synthesis was performed via narrative review, and the risk of bias was measured using the Mixed Methods Appraisal Tool. Results In total, 14 articles reporting on 12 dashboards were included. The quality of the articles varied. There was considerable heterogeneity in implementation setting (home care 8/14, 57%), dashboard user groups (health professionals 9/14, 64%), and sample size (range 3-292). Dashboard features included a visual representation of information (eg, medical condition prevalence), analytic capability (eg, predictive), and others (eg, stakeholder communication). Dashboard usability was mixed (4 dashboards rated as high), and dashboard acceptability was high for 9 dashboards. Most users considered dashboards to be informative, relevant, and functional, highlighting the use and intention of using this resource in the future. Dashboards that had the presence of one or more of these features (bar charts, radio buttons, checkboxes or other symbols, interactive displays, and reporting capabilities) were found to be highly acceptable. Conclusions A comprehensive summary of clinical dashboards used in aged care is provided to inform future dashboard development, testing, and implementation. Further research is required to optimize visualization features, usability, and acceptability of dashboards in aged care.
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Chowdhury, Tania Ahmed, Mohammad Jahangir Alam, and Md Irfan Hossain. "Factors Influencing User Satisfaction While Using Health Dashboard in Asia: A Rapid Review of the Evidence." American Journal of Multidisciplinary Research and Innovation 3, no. 6 (November 20, 2024): 30–36. http://dx.doi.org/10.54536/ajmri.v3i6.3811.
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Despite having many dashboards to display large-scale real-time data in this big data era, there is a shortage of user-friendly dashboards in Asian countries, indicating the importance of examining the factors that make a dashboard effective. This literature gap in dashboard usage has created the ground for this rapid review. This study followed a Google Scholar and PubMed search for a rapid review of 8 health-related dashboard articles taken from 33 articles following the step-by-step screening process, where some critical exclusion and inclusion criteria were maintained. The first finding of this study is that there are a few relevant articles available in Asian countries that match the inclusion criteria of the study focusing on usability and user satisfaction while using health-related dashboards. The second finding is that user satisfaction is one of the essential components for any effective health-related dashboard. The third finding considers easy-to-use, relevant, and accurate content, the right object to display data, an interactive dashboard, increased work efficiency, simplicity, patient care, and data quality as the factors of a user-friendly health-related dashboard. Finally, this study revealed that the dashboard on the web and different access levels have better usability.
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Peer, Firaz, and Carl DiSalvo. "The Work of Infrastructural Bricoleurs in Building Civic Data Dashboards." Proceedings of the ACM on Human-Computer Interaction 6, CSCW1 (March 30, 2022): 1–25. http://dx.doi.org/10.1145/3512971.
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The Historic Westside Universities Alliance Data Dashboard was created to meet the data equity needs of a group of resource-constrained communities in the Westside neighborhoods of Atlanta. We observed the development of this dashboard by participating as ethnographers and developers of its public safety module. Our ethnography and subsequent situational analysis of the dashboard's infrastructuring process led us to the work that individual stakeholders do in bringing such a dashboard to fruition. These stakeholders, whom we call infrastructural bricoleurs, operate through principles of situated knowledge, partial perspectives, limited power, and located accountability. Our analysis, which builds on concepts of infrastructures, bricolage, and feminist principles of technology design, helps us add further specificity to the work that infrastructural bricoleurs need to do when building civic data dashboards with resource constrained communities. Our findings benefit other researchers studying data infrastructures as well as administrators and practitioners within programs like DSSG (Data Science for Social Good) who are interested in building data infrastructures under similar constraints.
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Wahyudi, Iqbal, and Ahmad Syazili. "Dashboard Monitoring Website Dosen Studi Kasus Universitas Bina Darma." Jurnal Pengembangan Sistem Informasi dan Informatika 2, no. 3 (November 23, 2021): 188–97. http://dx.doi.org/10.47747/jpsii.v2i3.555.
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The concept of dashboard performance is an information system application model provided for managers to present performance quality information, from a company or organizational institution, dashboards have been widely adopted by companies or businesses. In this study, the authors designed a dashboard that was used as a monitoring system for lecturer posting activities at Binadarma University, Palembang. The limitation of the dashboard in this study only displays data based on lecturer posts which will be developed in the form of a website. Dashboard design is more effective and efficient than viewing data manually, which requires managers to open a database to view data one by one from lecturers' posts. In making the lecturer website dashboard, the data taken is in the form of posting data stored in the lecturer database, the data that has been taken will be presented in the dashboard in the form of graphs, tables and dashboards.
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Putri, Etania Febry Kirana, and Andrei Ramani. "Perancangan Dashboard Visualisasi Data Kesehatan Ibu dan Anak di Dinas Kesehatan Kabupaten Jember." Pustaka Kesehatan 12, no. 1 (March 13, 2024): 1. http://dx.doi.org/10.19184/pk.v12i1.43180.
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The amount of data generated is a challenge for agencies in the health sector to quickly analyze needs and interventions. The management and presentation of data carried out by the Jember District Health Office has not yet found an optimal method to present a lot of data into easily understood health information. This study aims to design a health data visualization dashboard using Microsoft Excel to assist in data management and facilitate policy formulation. The method used is research and development (R&D) with a visual data mining (VDM) model. The results showed that the data used for visualization was the MCH data of Jember Regency in 2021. The resulting dashboard consists of 4 maternal health dashboards and 5 child health dashboards. Verification of dashboard results shows that the dashboard is 100% functional, so it is accepted by the user. Dashboard testing using the User Experience Questionnaire (UEQ) has an average of positive evaluation results. Future researchers are expected to develop the types of data and visualization tools used in designing dashboards.
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Wettstone, Erin G., Md Ohedul Islam, Lauren Hughlett, Claire Reagen, Tahmina Shirin, Mahbubur Rahman, Kawsar Hosan, et al. "Interactive SARS-CoV-2 dashboard for real-time geospatial visualisation of sewage and clinical surveillance data from Dhaka, Bangladesh: a tool for public health situational awareness." BMJ Global Health 8, no. 8 (August 2023): e012921. http://dx.doi.org/10.1136/bmjgh-2023-012921.
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Throughout the COVID-19 pandemic, many dashboards were created to visualise clinical case incidence. Other dashboards have displayed SARS-CoV-2 sewage data, largely from countries with formal sewage networks. However, very few dashboards from low-income and lower-middle-income countries integrated both clinical and sewage data sets. We created a dashboard to track in real-time both COVID-19 clinical cases and the level of SARS-CoV-2 virus in sewage in Dhaka, Bangladesh. The development of this dashboard was a collaborative iterative process with Bangladesh public health stakeholders to include specific features to address their needs. The final dashboard product provides spatiotemporal visualisations of COVID-19 cases and SARS-CoV-2 viral load at 51 sewage collection sites in 21 wards in Dhaka since 24 March 2020. Our dashboard was updated weekly for the Bangladesh COVID-19 national task force to provide supplemental data for public health stakeholders making public policy decisions on mitigation efforts. Here, we highlight the importance of working closely with public health stakeholders to create a COVID-19 dashboard for public health impact. In the future, the dashboard can be expanded to track trends of other infectious diseases as sewage surveillance is increased for other pathogens.
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Kim, Mi Hwa, and Jae Young Lee. "A Delphi Study on K University’s Learning Analytics Dashboard Design." Korean Association For Learner-Centered Curriculum And Instruction 22, no. 20 (October 31, 2022): 781–98. http://dx.doi.org/10.22251/jlcci.2022.22.20.781.
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Objectives The purpose of this study was to derive necessary elements and data for designing a learning analytics dashboard which will be provided to instructors and students at K University. Methods To derive the elements needed to design dashboards, a Delphi survey paper was developed based on literature review, case study, and FGI results. Then Delphi survey was conducted twice with a group of experts who work for K University, including full-time professors, the leaders of administration departments, and research professors. The expert group members comprehensively understand the educational environments and operating systems of K University. Results The Delphi survey found that the dashboards that universities should provide to support students' success should be divided into the total learner personal dashboard, the total instructor personal dashboard, the learner dashboard by subject, and he learner dashboard by subject. Also, the components and collection data of the dashboards of learners and instructors were found to be different. Conclusions When universities intend to provide learning analytics dashboards in line with the change in the digital transformation era, areas suitable for students and instructors should be constructed respectively. This means that it is necessary to visually present all essential information related to student success, such as student competency, career, and employment, as well as learning.
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Jamieson, Keara, and Daniel Bennett. "Developing a dashboard for use in a forensic and intensive care psychiatric unit: a quality improvement project." BJPsych Open 7, S1 (June 2021): S196. http://dx.doi.org/10.1192/bjo.2021.528.
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AimsDashboards provide a visual summary of relevant data to track performance against key indicators over time. They are used in healthcare to monitor the quality of patient care and to identify potential quality improvement projects. There is little published evidence of them being used in mental health services, especially in forensic psychiatric care.This project aims to design a dashboard for use in a forensic and intensive psychiatric care unit, by specifying measures and ideal features it would include.To develop a model for a quality dashboard for useTo decide which measures would be reported on the dashboardTo find reliable methods of assessing said measuresTo explore staff preferences as to how the dashboard would display data, and how they would like the information to be disseminatedTo use blank data to design a mock dashboard interface for feedbackMethodA literature search was conducted on healthcare dashboards and quality improvement projects taking place on low-secure psychiatric wards similar to the Blair unit. Potential outcome measures and methods of assessing them were researched. Staff thoughts on the dashboard, and which measures they would like to see included, were explored in interviews and using a surveyResultBlank data were fed into excel to create example graphs for a mock dashboard. The results section details: measures to be included, such as staff turnover rate, absences, and patient satisfaction levels; how they can be assessed; and specific features of the dashboard, such as the capability to track trends in selected quality indicators over a period of time. Further development of this project out with the 4 week development timeframe will require cooperation from IT services and unit management staff.ConclusionMany staff suggestions, whilst valuable measures, were more suitable for use in a clinical or nursing dashboard, rather than a quality dashboard. COVID-19 factored into reasons why staff requested certain measures, and also meant that less staff were available to be contacted about the project. This project has limitations based on the four-week timeframe, but could be further developed by staff on the unit if desired.
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Wu, Danny T. Y., Scott Vennemeyer, Kelly Brown, Jason Revalee, Paul Murdock, Sarah Salomone, Ashton France, Katherine Clarke-Myers, and Samuel P. Hanke. "Usability Testing of an Interactive Dashboard for Surgical Quality Improvement in a Large Congenital Heart Center." Applied Clinical Informatics 10, no. 05 (October 2019): 859–69. http://dx.doi.org/10.1055/s-0039-1698466.
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Abstract Background Interactive data visualization and dashboards can be an effective way to explore meaningful patterns in large clinical data sets and to inform quality improvement initiatives. However, these interactive dashboards may have usability issues that undermine their effectiveness. These usability issues can be attributed to mismatched mental models between the designers and the users. Unfortunately, very few evaluation studies in visual analytics have specifically examined such mismatches between these two groups. Objectives We aimed to evaluate the usability of an interactive surgical dashboard and to seek opportunities for improvement. We also aimed to provide empirical evidence to demonstrate the mismatched mental models between the designers and the users of the dashboard. Methods An interactive dashboard was developed in a large congenital heart center. This dashboard provides real-time, interactive access to clinical outcomes data for the surgical program. A mixed-method, two-phase study was conducted to collect user feedback. A group of designers (N = 3) and a purposeful sample of users (N = 12) were recruited. The qualitative data were analyzed thematically. The dashboards were compared using the System Usability Scale (SUS) and qualitative data. Results The participating users gave an average SUS score of 82.9 on the new dashboard and 63.5 on the existing dashboard (p = 0.006). The participants achieved high task accuracy when using the new dashboard. The qualitative analysis revealed three opportunities for improvement. The data analysis and triangulation provided empirical evidence to the mismatched mental models. Conclusion We conducted a mixed-method usability study on an interactive surgical dashboard and identified areas of improvements. Our study design can be an effective and efficient way to evaluate visual analytics systems in health care. We encourage researchers and practitioners to conduct user-centered evaluation and implement education plans to mitigate potential usability challenges and increase user satisfaction and adoption.
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Loginova, Julia, and Pia Wohland. "How to create an interactive dashboard using R: the example of the Queensland COVID-19 tracker." Australian Population Studies 4, no. 2 (November 14, 2020): 39–47. http://dx.doi.org/10.37970/aps.v4i2.72.
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Background Interactive tools like data dashboards enable users both to view and interact with data. In today’s data-driven environment it is a priority for researchers and practitioners alike to be able to develop interactive data visualisation tools easily and where possible at a low cost.
Aims Here, we provide a guide on how to develop and create an interactive online data dashboard in R, using the COVID-19 tracker for Health and Hospital Regions in Queensland, Australia as an example. We detail a series of steps and explain choices made to design, develop, and easily maintain the dashboard and publish it online.
Data and methods The dashboard visualises publicly available data from the Queensland Health web page. We used the programming language R and its free software environment. The dashboard webpage is hosted publicly on GitHub Pages updated via GitHub Desktop.
Results Our interactive dashboard is available at https://qcpr.github.io/.
Conclusions Interactive dashboards have many applications such as dissemination of research and other data. This guide and the supplementary material can be adjusted to develop a new dashboard for a different set of data and needs.
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Et.al, Vivek Singh. "An analysis and Design of An Automated Dashboard technologies for developing web based applications - BHAIKENOTES." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (April 10, 2021): 3788–92. http://dx.doi.org/10.17762/turcomat.v12i3.1665.
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Dashboard are relied upon to improve dynamic by enhancing cognizance and gaining by human perceptual capacities. Subsequently, premium in dashboards has expanded as of late, which is additionally obvious from the expansion of dashboard arrangement suppliers on the lookout. Regardless of dashboards' fame, little is thought about the degree of their viability, for example what sorts of dashboards turn out best for various clients or undertakings. In this paper, we direct a complete multidisciplinary writing survey with a plan to recognize the basic issues associations may have to consider while actualizing dashboards. Dashboards are probably going to succeed and take care of the issues of introduction organization and data load when certain perception standards and highlights are available (for example high information ink proportion and drill down highlights). We suggest that dashboards accompany some degree of adaptability, for example permitting clients to switch between elective introduction designs. Additionally, some hypothesis driven direction through pop-ups and alerts can assist clients with choosing a fitting introduction design.In this dashboard user can get notes of all subjects as well as all the stuff which help him grabbing a good job and also provide internships notification to users.The machine learning helps them what they require and the best result will come for them to support them.This also give the option of chatting so they can chat among the other users for any help.This also use cloud for saving their data and for faster access.So, this dashboard use web development, cloud and machine-learning and the languages for this are mainly Html,css,Bootstrap,Javascript and Php and some sqlUsers will provide the notification of many events like exam and hackathon through this dashboard.
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Bischof, Anja Yvonne, David Kuklinski, Irene Salvi, Carla Walker, Justus Vogel, and Alexander Geissler. "A Collection of Components to Design Clinical Dashboards Incorporating Patient-Reported Outcome Measures: Qualitative Study." Journal of Medical Internet Research 26 (October 2, 2024): e55267. http://dx.doi.org/10.2196/55267.
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Background A clinical dashboard is a data-driven clinical decision support tool visualizing multiple key performance indicators in a single report while minimizing time and effort for data gathering. Studies have shown that including patient-reported outcome measures (PROMs) in clinical dashboards supports the clinician’s understanding of how treatments impact patients’ health status, helps identify changes in health-related quality of life at an early stage, and strengthens patient-physician communication. Objective This study aims to determine design components for clinical dashboards incorporating PROMs to inform software producers and users (ie, physicians). Methods We conducted interviews with software producers and users to test preselected design components. Furthermore, the interviews allowed us to derive additional components that are not outlined in existing literature. Finally, we used inductive and deductive coding to derive a guide on which design components need to be considered when building a clinical dashboard incorporating PROMs. Results A total of 25 design components were identified, of which 16 were already surfaced during the literature search. Furthermore, 9 additional components were derived inductively during our interviews. The design components are clustered in a generic dashboard, PROM-related, adjacent information, and requirements for adoption components. Both software producers and users agreed on the primary purpose of a clinical dashboard incorporating PROMs to enhance patient communication in outpatient settings. Dashboard benefits include enhanced data visualization and improved workflow efficiency, while interoperability and data collection were named as adoption challenges. Consistency in dashboard design components is preferred across different episodes of care, with adaptations only for disease-specific PROMs. Conclusions Clinical dashboards have the potential to facilitate informed treatment decisions if certain design components are followed. This study establishes a comprehensive framework of design components to guide the development of effective clinical dashboards incorporating PROMs in health care practice.
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Hamdani, Dani, Arry Purno Wahyu, and Rosalin Sanihardjo. "Design Model of Digital Dashboard Human Resources Information System based on Competence (Case Study at PT. Daya Adicipta Mustika)." International Journal of Engineering & Technology 7, no. 4.33 (December 9, 2018): 232. http://dx.doi.org/10.14419/ijet.v7i4.33.23566.
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CBHRM is one of the patterns of human resource management is being grown in Indonesia. In this approach, the vocabulary of competence to be a key element. Each employee will be assessed on its competence. In order results can be more optimally achieved, it would require a model of presentation of the good report/well output. One of the solutions the authors propose is to use a digital model of the dashboard. The model was built using the dashboard frame of mind which has been adapted to the life cycle model. Case studies conducted at PT. Daya Adicipta Mustika, and digital dashboards built CBHRM consist of Talent Dashboard, Dashboard Gap Competencies, and Comparison Dashboard interrelated with each other.
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Burningham, Zachary, Regina Richter Lagha, Brittany Duford-Hutchinson, Carol Callaway-Lane, Brian C. Sauer, Ahmad S. Halwani, Jamie Bell, Tina Huynh, Joseph R. Douglas, and B. Josea Kramer. "Developing the VA Geriatric Scholars Programs' Clinical Dashboards Using the PDSA Framework for Quality Improvement." Applied Clinical Informatics 13, no. 04 (August 2022): 961–70. http://dx.doi.org/10.1055/s-0042-1757553.
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Abstract Background Involving clinician end users in the development process of clinical dashboards is important to ensure that user needs are adequately met prior to releasing the dashboard for use. The challenge with following this approach is that clinician end users can undergo periodic turnover, meaning, the clinicians that played a role in the initial development process may not be the same individuals that use the dashboard in future. Objectives Here, we summarize our Plan, Do, Study, Act (PDSA)-guided clinical dashboard development process for the VA Geriatric Scholars Program (GSP) and the value of continuous, iterative development. We summarize dashboard adaptations that resulted from two PDSA cycles of improvement for the potentially inappropriate medication dashboard (PIMD), one of many Geriatric Scholars clinical dashboards. We also present the evaluative performance of the PIMD. Methods Evaluation of the PIMD was performed using the system usability scale (SUS) and through review of user interaction logs. Routine end users that were Geriatric Scholars and had evidence of 5 or more dashboard views were invited to complete an electronic form that contained the 10-item SUS. Results The proportion of Geriatric Scholars that utilized the PIMD increased for each iterative dashboard version that was produced as a byproduct from feedback (31.0% in 2017 to 60.2% in 2019). The overall usability of the PIMD among routine users was found to be above average (SUS score: 75.2 [95% CI 70.5–79.8]) in comparison to the recommended standard of acceptability (SUS score: 68) Conclusion The solicitation of feedback during dashboard orientations led to iterative adaptations of the PIMD that broadened its intended use. The presented PDSA-guided process to clinical dashboard development for the VA GSP can serve as a valuable framework for development teams seeking to produce well-adopted and usable health information technology (IT) innovations.
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Wibowo, Amru Setio, and Andri Andri. "Dashboard Business Intelligence Vusialisasi Data Akreditasi Sekolah Pada SMP Negeri 1 Sembawa." Jurnal Nasional Ilmu Komputer 2, no. 4 (November 21, 2021): 249–56. http://dx.doi.org/10.47747/jurnalnik.v2i4.536.
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This study aims to create a business intelligence dashboard to support school accreditation at SMP Negeri 1 Sembawa in the form of data visualization. In this study, several business intelligence dashboards were produced with the aim of providing convenience for schools in supporting the school accreditation process. Business intelligence is a tool to manage data and perform data analysis that can support school accreditation which will be collected into a data mart and the analysis process is carried out in the form of a cube. For the ETL process using the help of SQL Server Management Studio and SQL Server Development software and as a design for the dashboard creation using the Power BI software. This research has several dashboards including student achievement dashboard based on achievement level, student achievement dashboard based on year of achievement, and student achievement based on graduation which can be seen by year and gender of students.
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Janssen, Anna, Candice Donnelly, Judy Kay, Peter Thiem, Aldo Saavedra, Nirmala Pathmanathan, Elisabeth Elder, et al. "Developing an Intranet-Based Lymphedema Dashboard for Breast Cancer Multidisciplinary Teams: Design Research Study." Journal of Medical Internet Research 22, no. 4 (April 21, 2020): e13188. http://dx.doi.org/10.2196/13188.
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Background A large quantity of data is collected during the delivery of cancer care. However, once collected, these data are difficult for health professionals to access to support clinical decision making and performance review. There is a need for innovative tools that make clinical data more accessible to support health professionals in these activities. One approach for providing health professionals with access to clinical data is to create the infrastructure and interface for a clinical dashboard to make data accessible in a timely and relevant manner. Objective This study aimed to develop and evaluate 2 prototype dashboards for displaying data on the identification and management of lymphedema. Methods The study used a co-design framework to develop 2 prototype dashboards for use by health professionals delivering breast cancer care. The key feature of these dashboards was an approach for visualizing lymphedema patient cohort and individual patient data. This project began with 2 focus group sessions conducted with members of a breast cancer multidisciplinary team (n=33) and a breast cancer consumer (n=1) to establish clinically relevant and appropriate data for presentation and the visualization requirements for a dashboard. A series of fortnightly meetings over 6 months with an Advisory Committee (n=10) occurred to inform and refine the development of a static mock-up dashboard. This mock-up was then presented to representatives of the multidisciplinary team (n=3) to get preliminary feedback about the design and use of such dashboards. Feedback from these presentations was reviewed and used to inform the development of the interactive prototypes. A structured evaluation was conducted on the prototypes, using Think Aloud Protocol and semistructured interviews with representatives of the multidisciplinary team (n=5). Results Lymphedema was selected as a clinically relevant area for the prototype dashboards. A qualitative evaluation is reported for 5 health professionals. These participants were selected from 3 specialties: surgery (n=1), radiation oncology (n=2), and occupational therapy (n=2). Participants were able to complete the majority of tasks on the dashboard. Semistructured interview themes were categorized into engagement or enthusiasm for the dashboard, user experience, and data quality and completeness. Conclusions Findings from this study constitute the first report of a co-design process for creating a lymphedema dashboard for breast cancer health professionals. Health professionals are interested in the use of data visualization tools to make routinely collected clinical data more accessible. To be used effectively, dashboards need to be reliable and sourced from accurate and comprehensive data sets. While the co-design process used to develop the visualization tool proved effective for designing an individual patient dashboard, the complexity and accessibility of the data required for a cohort dashboard remained a challenge.
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Ruoff, Marcel, Ulrich Gnewuch, Alexander Maedche, and Benjamin Scheibehenne. "Designing Conversational Dashboards for Effective Use in Crisis Response." Journal of the Association for Information Systems 24, no. 6 (2023): 1500–1526. http://dx.doi.org/10.17705/1jais.00801.
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Governments and health organizations are increasingly using dashboards to provide real-time information during natural disasters and pandemics. Although these dashboards aim to make crisisrelated information accessible to the general public, the average user can have a hard time interacting with them and finding the information needed to make everyday decisions. To address this challenge, we draw on the theory of effective use to propose a theory-driven design for conversational dashboards intended for crisis response that can improve users’ transparent interaction with these dashboards and facilitate access to crisis-related information during crises. We instantiate our proposed design in a conversational dashboard for the COVID-19 pandemic that enables natural language interaction in spoken or written form and helps users familiarize themselves with the use of natural language through conversational onboarding. The evaluation of our artifact shows that being able to use natural language improves users’ interaction with the dashboard and ultimately increases their efficiency and effectiveness in finding information. This positive effect is amplified when users complete the onboarding before interacting with the dashboard, particularly when they can use both natural language and mouse interaction. Our findings contribute to research on dashboard design, both in general and in the specific context of crisis response, by providing prescriptive knowledge for extending crisis response dashboards with natural language interaction capabilities. In addition, our work contributes to the democratization of data science by proposing design guidelines for making information on crisis response dashboards more accessible to the general public.
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Helminski, Danielle, Jacob E. Kurlander, Anjana Deep Renji, Jeremy B. Sussman, Paul N. Pfeiffer, Marisa L. Conte, Oliver J. Gadabu, et al. "Dashboards in Health Care Settings: Protocol for a Scoping Review." JMIR Research Protocols 11, no. 3 (March 2, 2022): e34894. http://dx.doi.org/10.2196/34894.
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Background Health care organizations increasingly depend on business intelligence tools, including “dashboards,” to capture, analyze, and present data on performance metrics. Ideally, dashboards allow users to quickly visualize actionable data to inform and optimize clinical and organizational performance. In reality, dashboards are typically embedded in complex health care organizations with massive data streams and end users with distinct needs. Thus, designing effective dashboards is a challenging task and theoretical underpinnings of health care dashboards are poorly characterized; even the concept of the dashboard remains ill-defined. Researchers, informaticists, clinical managers, and health care administrators will benefit from a clearer understanding of how dashboards have been developed, implemented, and evaluated, and how the design, end user, and context influence their uptake and effectiveness. Objective This scoping review first aims to survey the vast published literature of “dashboards” to describe where, why, and for whom they are used in health care settings, as well as how they are developed, implemented, and evaluated. Further, we will examine how dashboard design and content is informed by intended purpose and end users. Methods In July 2020, we searched MEDLINE, Embase, Web of Science, and the Cochrane Library for peer-reviewed literature using a targeted strategy developed with a research librarian and retrieved 5188 results. Following deduplication, 3306 studies were screened in duplicate for title and abstract. Any abstracts mentioning a health care dashboard were retrieved in full text and are undergoing duplicate review for eligibility. Articles will be included for data extraction and analysis if they describe the development, implementation, or evaluation of a dashboard that was successfully used in routine workflow. Articles will be excluded if they were published before 2015, the full text is unavailable, they are in a non-English language, or they describe dashboards used for public health tracking, in settings where direct patient care is not provided, or in undergraduate medical education. Any discrepancies in eligibility determination will be adjudicated by a third reviewer. We chose to focus on articles published after 2015 and those that describe dashboards that were successfully used in routine practice to identify the most recent and relevant literature to support future dashboard development in the rapidly evolving field of health care informatics. Results All articles have undergone dual review for title and abstract, with a total of 2019 articles mentioning use of a health care dashboard retrieved in full text for further review. We are currently reviewing all full-text articles in duplicate. We aim to publish findings by mid-2022. Findings will be reported following guidance from the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist. Conclusions This scoping review will provide stakeholders with an overview of existing dashboard tools, highlighting the ways in which dashboards have been developed, implemented, and evaluated in different settings and for different end user groups, and identify potential research gaps. Findings will guide efforts to design and use dashboards in the health care sector more effectively. International Registered Report Identifier (IRRID) DERR1-10.2196/34894
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Zainuddin, Zada Qusyairin Mohd, Farashazillah Yahya, Ervin Gubin Moung, Bashirah Mohd Fazli, and Mohammad Fikry Abdullah. "Effective dashboards for urban water security monitoring and evaluation." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 4 (August 1, 2023): 4291. http://dx.doi.org/10.11591/ijece.v13i4.pp4291-4305.
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This paper reviews the factors affecting effective dashboards for urban water security monitoring and evaluation. Urban water security is a constantly evolving field influenced by several factors, including changes in climate, ecosystems, socio-economic status, and human beings. Although urban water security has been discussed in some parts of the literature, there has been minimal literature review that focused on the factors of urban water security and the effective dashboards for monitoring and evaluation. Using systematic literature review (SLR) and preferred reporting items for systematic reviews and meta-analysis (PRISMA), this paper reviewed 143 articles. The result shows growth in the environmental informatics landscape since the last ten years when the first article on the urban water management dashboard was published. The visual design was the most frequently discussed factor for dashboards, followed by user customization. It also shows that this topic can go deeper to integrate both factors and design an effective environmental dashboard. The discussion identified three potential opportunities for future research in water security and informatics: i) exploring other dimensions of effective dashboards, ii) considering more research on the environmental dashboard, and iii) investigating the real-life application of dashboards in urban water security.
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Contreras-Figueroa, Victor, Luis Gerardo Montané-Jiménez, María Cepero-García, Edgard Benítez-Guerrero, and Carmen Mezura-Godoy. "Design of an adaptable dashboard for smart cities." Proceedings of the Institute for System Programming of the RAS 35, no. 1 (2023): 7–24. http://dx.doi.org/10.15514/ispras-2023-35(1)-1.
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Today there are smart cities that, through the use of information technologies, sensors, and specialized infrastructure, focus their efforts on improving the quality of life of their inhabitants. From these efforts arose the need to analyze and represent data within a system to make it useful and understandable to people, for which dashboards emerge. The objective of these systems is to provide users with information to support decision-making, so it is essential to adapt the visualization of the information provided to their needs and preferences. However, the analysis of adaptability through user interaction and its benefits is a topic still under exploration. This paper analyzes the literature on information visualization in adaptable dashboards for smart cities. Based on the elements of adaptable dashboards identified in the literature review, we propose an adaptable dashboard architecture, identify the main characteristics of the users of a smart city dashboard, and build an adaptable dashboard prototype using user-centered techniques.
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Beck, Lorenz, and Simge Özdal Oktay. "Designing a Cycling Dashboard as a Way of Communicating Local Sustainability." Sustainability 15, no. 17 (August 24, 2023): 12829. http://dx.doi.org/10.3390/su151712829.
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This paper conceptualizes the use of interactive urban dashboards in collecting and visualizing sustainability indicators at local scales through a cycling dashboard prototype for Münster. Urban dashboards are integrated platforms that bring various data types and sources together and automatize the visualization of information in real time. They can function as information hubs that work with mobile applications, sensor-based data, and crowdsourced platforms. Visualization of information can present both map-based data, text, and graphical information. In this study, a cycling dashboard is introduced that is developed as a prototype. The dashboard is based on the sustainability indicators related to cycling infrastructure defined by the German Sustainable Building Council (DGNB). It retrieves crowdsourced open data from Open Street Map (OSM) and automatically updates the information when new data are entered into the platform. This enables detailed exploration of the geo-referenced information up to street level and comparisons between different districts. In order to achieve a comprehensive framework, four main steps were included into the design and development process “determining a content by integrating future users, creating and evaluating a data inventory, designing the architecture of the dashboard, and implementing the prototype ”. As a result, this study holistically draws a comprehensive framework for the urban cycling dashboard around three main modules focusing on the sustainability of cycling infrastructure “infrastructure guide, cyclists’ voice, and idea center”. Additionally, the first prototype of an open local cycling dashboard has been implemented. The prototype enables the automation of collection, analysis, visualisation, and deep exploration of sustainability-related data at local scales. The results of this study contribute to the status quo by supporting the design and development process of local urban dashboards through a participatory approach.
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Hartzler, Andrea L., Jason P. Izard, Bruce L. Dalkin, Sean P. Mikles, and John L. Gore. "Design and feasibility of integrating personalized PRO dashboards into prostate cancer care." Journal of the American Medical Informatics Association 23, no. 1 (August 9, 2015): 38–47. http://dx.doi.org/10.1093/jamia/ocv101.
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Abstract Objective Patient-reported outcomes (PROs) are a valued source of health information, but prior work focuses largely on data capture without guidance on visual displays that promote effective PRO use in patient-centered care. We engaged patients, providers, and design experts in human-centered design of “PRO dashboards” that illustrate trends in health-related quality of life (HRQOL) reported by patients following prostate cancer treatment. Materials and Methods We designed and assessed the feasibility of integrating dashboards into care in 3 steps: (1) capture PRO needs of patients and providers through focus groups and interviews; (2) iteratively build and refine a prototype dashboard; and (3) pilot test dashboards with patients and their provider during follow-up care. Results Focus groups ( n = 60 patients) prioritized needs for dashboards that compared longitudinal trends in patients’ HRQOL with “men like me.” Of the candidate dashboard designs, 50 patients and 50 providers rated pictographs less helpful than bar charts, line graphs, or tables ( P < .001) and preferred bar charts and line graphs most. Given these needs and the design recommendations from our Patient Advisory Board ( n = 7) and design experts ( n = 7), we built and refined a prototype that charts patients’ HRQOL compared with age- and treatment-matched patients in personalized dashboards. Pilot testing dashboard use ( n = 12 patients) improved compliance with quality indicators for prostate cancer care ( P < .01). Conclusion PRO dashboards are a promising approach for integrating patient-generated data into prostate cancer care. Informed by human-centered design principles, this work establishes guidance on dashboard content, tailoring, and clinical use that patients and providers find meaningful.
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Mohadjer, Leyla, and Brad Edwards. "Paradata and dashboards in PIAAC." Quality Assurance in Education 26, no. 2 (April 3, 2018): 263–77. http://dx.doi.org/10.1108/qae-06-2017-0031.
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Purpose This paper aims to provides a brief review of the dashboard literature, an account of the development of performance dashboards for field data collection at Westat, and more specifically for the first cycle of the Programme for the International Assessment of Adult Competencies (PIAAC). A brief concluding section offers suggestions for improvements in survey dashboards for PIAAC’s next cycle. Design/methodology/approach To manage field work at Westat, the authors create views into various paradata databases and present them in a dashboard, showing key performance indicators at a glance. Users can drill down from the dashboard into underlying databases to investigate potential problems. The US PIAAC dashboard is a monitoring system that supports daily review of many activities. For example, it provides overnight alerts to the field supervisor when global positioning system (GPS) data from an interviewer’s smartphone shows the interview occurred far from the respondent’s home. Findings Performance dashboards may represent best practice for monitoring field activities. Paradata sources and systems vary greatly across the PIAAC countries, but a multitude of process data exists in every country and can be used to create quality indicators and a monitoring system. PIAAC can establish standards/guidelines to improve visualization of quality metrics and management data, regardless of the local survey infrastructure. Originality/value The core of the paper is a case study of the experiences on the US PIAAC implementation of dashboards to monitor survey quality, production and costs, with special attention to the issue of fabrication.
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MZ, Yumarlin, Jemmy Edwin Bororing, Sri Rahayu, and Tan Anugrah Ramadhani. "Aplikasi Dashboard Visualisasi Data Calon Mahasiswa Baru mengunakan Metabase." Edumatic: Jurnal Pendidikan Informatika 6, no. 1 (June 19, 2022): 116–25. http://dx.doi.org/10.29408/edumatic.v6i1.5483.
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New student data Information systems can be used as a supporting tool to support decisions. Janabadra University is one of the universities in Yogyakarta, the information system for recording transactional data for students is still done simply in the form of text and numbers. The purpose of this research is to design and build a dashboard application for data visualization of prospective students at Janabadra University for new student admissions (PMB). The method used is a business intelligence roadmap with six stages, the stages are (1) justification, (2) planning, (3) business case, (4) design, (5) construction, and (6) deployment which is a reference in the design and construction of a data warehouse using Metabase. The results of this study can build 7 (seven) visualization dashboards are (1) Dashboard of information students grouped based on the total number of PMB registrants, (2) Dashboard of the number of registrants based on the academic year, (3) Dashboard of income from PMB registration based on the payment date, (4) Dashboard of the number of students based on the academic year of each study program, (5) Dashboard of the number of registrants by class, (6) Dashboard of the number of PMB registrants by semester and (7) Dashboard of the number of PMB registrants by study program and class.
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Almasi, Sohrab, Kambiz Bahaadinbeigy, Hossein Ahmadi, Solmaz Sohrabei, and Reza Rabiei. "Usability Evaluation of Dashboards: A Systematic Literature Review of Tools." BioMed Research International 2023 (February 22, 2023): 1–11. http://dx.doi.org/10.1155/2023/9990933.
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Introduction. In recent years, the use of dashboards in healthcare has been considered an effective approach for the visual presentation of information to support clinical and administrative decisions. Effective and efficient use of dashboards in clinical and managerial processes requires a framework for the design and development of tools based on usability principles. Objectives. The present study is aimed at investigating the existing questionnaires used for the usability evaluation framework of dashboards and at presenting more specific usability criteria for evaluating dashboards. Methods. This systematic review was conducted using PubMed, Web of Science, and Scopus, without any time restrictions. The final search of articles was performed on September 2, 2022. Data collection was performed using a data extraction form, and the content of selected studies was analyzed based on the dashboard usability criteria. Results. After reviewing the full text of relevant articles, a total of 29 studies were selected according to the inclusion criteria. Regarding the questionnaires used in the selected studies, researcher-made questionnaires were used in five studies, while 25 studies applied previously used questionnaires. The most widely used questionnaires were the System Usability Scale (SUS), Technology Acceptance Model (TAM), Situation Awareness Rating Technique (SART), Questionnaire for User Interaction Satisfaction (QUIS), Unified Theory of Acceptance and Use of Technology (UTAUT), and Health Information Technology Usability Evaluation Scale (Health-ITUES), respectively. Finally, dashboard evaluation criteria, including usefulness, operability, learnability, ease of use, suitability for tasks, improvement of situational awareness, satisfaction, user interface, content, and system capabilities, were suggested. Conclusion. General questionnaires that were not specifically designed for dashboard evaluation were mainly used in reviewed studies. The current study suggested specific criteria for measuring the usability of dashboards. When selecting the usability evaluation criteria for dashboards, it is important to pay attention to the evaluation objectives, dashboard features and capabilities, and context of use.
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Morelli, Frank, Angela Sekulovska, and Frank Schätter. "Dashboard Use Case for Supply Chain Resilience Management and Future Research Direction." Anwendungen und Konzepte der Wirtschaftsinformatik, no. 19 (August 10, 2024): 7. http://dx.doi.org/10.26034/lu.akwi.2024.5948.
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This paper builds upon the foundation of Key Resilience Areas to present a practical use case and to conceptualize a supply chain resilience dashboard. Expert evaluation from process mining and supply chain operations raised concerns regarding the usability and feasibility of such a dashboard. Additionally, future research directions, encompassing platform-based dashboards, resilience-sustainability fusion, and stress testing, are also explored.
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Clark, Bruce. "Marketing dashboards, resource allocation and performance." European Journal of Marketing 55, no. 1 (August 28, 2020): 247–70. http://dx.doi.org/10.1108/ejm-03-2019-0300.
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Purpose This study aims to examine the effects of marketing dashboards on resource allocation between exploratory and exploitative activities. It proposes that tactical dashboards will lead managers to place less emphasis on exploratory activities and more emphasis on exploitative activities – with performance consequences – but that these effects will be contingent on the information and decision-making environment. Design/methodology/approach Study hypotheses were tested using an experiment tracking objective decisions over five periods in the Markstrat simulation. A total of 105 firms, each managed by a team of Master of Business Administration students, were divided into 2 dashboard conditions and a control condition. Findings Teams given a tactical dashboard were less likely to engage in exploratory activities when information load was high. Tactical dashboards also suppressed exploration early in the simulation. Dashboards were associated with negative firm performance overall. Research implications/limitations The research suggests that dashboards can bias resource allocation, but the effects are contingent on the information and decision-making environment. Dashboards demonstrated a negative relationship with performance. The research lacked cognitive process measures and was limited to a single simulated industry type. Practical implications Dashboards are not a panacea for decision-making and performance and will need to change under changing conditions. Executives should build flexibility into the design and use of their dashboards and periodically audit the value the dashboard produces. Originality/value While widespread in marketing practice, dashboards have received little study and none involving decision-making over time and changing conditions. This research advances on limited existing work by examining objective causal effects.
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DeLoyde, Carolyn, and Betsy Donald. "Dashboards as Conduits for Collaborative Planning." Canadian Planning and Policy / Aménagement et politique au Canada 2024, no. 1 (March 15, 2024): 32–44. http://dx.doi.org/10.24908/cpp-apc.v2024i1.17503.
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Dashboards are not new to planning and much has been written about them especially around the user experience and technological failures. Missing in the literature, however, is a discussion around the processes behind making an urban data dashboard and what that process can do in terms of building relationships and supporting collaborative planning. Through a case study of a dashboard making process in Kingston, Ontario between September 2020 and August 2023, the authors show how the dashboard making process led to technological innovation, improved collaboration amongst the partners, strengthened relationships and improved organizational and management processes for all partners involved. More than a technocratic or rational planning exercise, dashboard making has the potential to be a conduit for collaborative planning which is a cornerstone of a healthy, democratic society.
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Gomes, Robson Ferreira, José Henrique Coelho Brandão, Fernanda Pereira Gomes, and Parcilene Fernandes de Brito. "Dashboard para Gestão Acadêmica." Congresso de Computação e Tecnologias da Informação 1, no. 21 (May 13, 2019): 64–72. http://dx.doi.org/10.33911/encoinfo.21.2019.v1.6.
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Dashboards são ferramentas úteis para apoiar a tomada de decisão em organizações, devido a sua eficácia na apresentação dos dados, foco nos objetivos a serem alcançados e recursos que proporcionam interatividade aos gestores na exploração dos dados. Neste sentido, o presente trabalho propõe a criação de um dashboard voltado para o contexto da Gestão Acadêmica, mais especificamente as atividades relacionadas ao contexto do docente. Para que fosse possível o desenvolvimento do dashboard, foram criados mecanismos (scripts) para que a coleta de dados provenientes de outra plataforma pudesse ser realizada de forma automática.
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Zuo, Chenyu, Linfang Ding, and Liqiu Meng. "A Feasibility Study of Map-Based Dashboard for Spatiotemporal Knowledge Acquisition and Analysis." ISPRS International Journal of Geo-Information 9, no. 11 (October 27, 2020): 636. http://dx.doi.org/10.3390/ijgi9110636.
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Map-based dashboards are among the most popular tools that support the viewing and understanding of a large amount of geo-data with complex relations. In spite of many existing design examples, little is known about their impacts on users and whether they match the information demand and expectations of target users. The authors first designed a novel map-based dashboard to support their target users’ spatiotemporal knowledge acquisition and analysis, and then conducted an experiment to assess the feasibility of the proposed dashboard. The experiment consists of eye-tracking, benchmark tasks, and interviews. A total of 40 participants were recruited for the experiment. The results have verified the effectiveness and efficiency of the proposed map-based dashboard in supporting the given tasks. At the same time, the experiment has revealed a number of aspects for improvement related to the layout design, the labeling of multiple panels and the integration of visual analytical elements in map-based dashboards, as well as future user studies.
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Lin, Ching-Yi, Fu-Wen Liang, Sheng-Tun Li, and Tsung-Hsueh Lu. "5S Dashboard Design Principles for Self-Service Business Intelligence Tool User." Journal of Big Data Research 1, no. 1 (November 24, 2018): 5–19. http://dx.doi.org/10.14302/issn.2768-0207.jbr-18-2175.
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Non–information technology (IT) professionals and nonexpert casual users are increasingly adopting self-service business intelligence (SSBI) tools (such as Tableau, Qlik, and Power BI) to create data visualization dashboards. This study identified the most relevant dashboard design principles for SSBI tool users. The research approach included organizing a focus group in which most of the participants were non-IT professionals in health care, extracting recommended principles from the literature, applying these recommended principles by using data on quality of diabetes care to design relevant dashboards, and proposing the following 5S dashboard design principle framework: 1) seeing both the forest and trees, 2) simplicity through self-selection, 3) simplicity through significance, 4) simplicity through synthesis, and 5) storytelling. The third and fourth principles are novel and provide solutions to decision-making problems (such as conflicting results from excessive and discordant indicators) encountered by health care professional in the public sector as well as in other domains. The 5S dashboard design principles are easily memorized and practical and thus enable non-IT professionals and nonexpert casual users to design insightful dashboards efficiently by using SSBI tools.
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Sanil, Hishan S. "Data Analysis and Dashboard Development Support for Answer App Dashboards." Asia Proceedings of Social Sciences 9, no. 1 (January 29, 2022): 267–68. http://dx.doi.org/10.31580/apss.v9i1.2359.
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One of the necessities to get a quality research output is as efficient data collection and analysis tool. This project intends to provide a functional support and feedback to the data analysis and Dashboard development support for Answer App dashboard. The answer app is one of the app developed by Poppins digitals Pvt Ltd India and now they are looking for support to develop the data analysis and dashboard which is easy for the researchers to use for data collections and data analysis.The findings from the survey and focus group discussions with the researchers and experts will help the company to improve their mobile application. This project will not help the company to develop the app but also enhance the quality of research outputs as it makes the whole process of quantitative primary data collection, analysis and reporting easy.
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Arfiensa, Dandy, Ezrifal Sany, and Sri Mulyati. "PENGEMBANGAN EXPERIENCE (UX) DASHBOARD REPORTING DATA REVIEW USER PENGGUNA APLIKASI LAZADA." Jurnal Manajamen Informatika Jayakarta 4, no. 1 (February 12, 2024): 92. http://dx.doi.org/10.52362/jmijayakarta.v4i1.1311.
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This study aims to design a UX Dashboard for analyzing the user experience of the Lazada app. UX methods, such as data collection and user experience analysis, are integrated. Findings from data analysis are utilized to create a dashboard providing a comprehensive overview of user experience, covering navigation, product search, checkout processes, and customer support. The dashboard enables monitoring changes in user experience and evaluating the impact of improvements. The results are expected to offer valuable insights for the Lazada development team to enhance the application and contribute to understanding UX practices in the e-commerce context and the development of user experience dashboards.
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Chipley, M. Ryan, and Todd Barlow. "Executive Dashboard Widgets: A Performance-Based Comparative Analysis." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, no. 5 (October 2007): 454–58. http://dx.doi.org/10.1177/154193120705100506.
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Executive dashboards have become popular in enterprise software applications. Consequently, much advice has been offered by private consulting firms on how best to design dashboards. This paper details a couple of studies testing the advice given by the dashboard experts. The results suggest that some of the notions about how dashboard widgets should be designed might be incorrect. The results indicate that colored widgets are not necessarily inferior to simpler, colorless widgets. Similarly, fancy widgets (i.e., those with three dimensional characteristics) were not demonstrated to be inferior to plainer widgets. While some methodological challenges must be overcome in similar future studies, the results of the described studies do not support some popular ideas about executive dashboards (and data visualization in general), and suggest that the area of interest is ripe for further investigation.
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Davis, Meggan, Erik Winters, Lisa Acomb, Matt Palmgren, Kerry K. McMillen, and Tracy Wong. "Untangling a web of Electronic Patient Reported Outcomes data to support quality improvement." Journal of Clinical Oncology 37, no. 27_suppl (September 20, 2019): 311. http://dx.doi.org/10.1200/jco.2019.37.27_suppl.311.
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311 Background: Adoption of Electronic Patient Reported Outcomes (ePROs) as part of clinical care is aided by the ability to respond to feedback and develop solutions founded on data. This requires access to usage, volume, response, and system performance data, yet with limited resources the infrastructure needed to store and analyze these data is often an afterthought. The Seattle Caner Care Alliance followed an iterative process to create dashboards featuring content-specific metrics while improving the underlying infrastructure of patient-generated data collected via the ePRO program. Methods: For each dashboard, the project team followed 7 steps: 1) Clarify the purpose. 2) Brainstorm requirements with content-specific stakeholders. 3) Create initial drafts for review, testing, and validation. 4) Validate that metrics are clear and provide value. 5) Update dashboards and review with stakeholders. 6) Perform technical clean-up and improvement to data infrastructure. 7) Iterate until all stakeholders approve. Results: 27 data tables were linked to create four content-specific dashboards: Overall Key Performance Indicators (KPI), an experimental dashboard, and responses to chemotherapy symptom and distress screening surveys. The KPI dashboard featured completion rate, adoption rate, survey and intervention volumes with the ability to filter by ePRO type, diagnosis, and intervention. The experimental dashboard allowed the project team to test data points, visualizations and methodologies before creating dashboards or updating data structures. Chemotherapy symptom and distress screening dashboards displayed interventions by symptom or concern, severity, referrals, and response distribution. Conclusions: Data collected via an ePRO program offers an opportunity for improvement during implementation and ongoing program development. An iterative approach to analyzing these data and creating dashboards that engaged stakeholders and focused on data quality was an effective way to untangle a complex web of patient-generated data and to support program improvement. Future ePRO implementation would benefit from the inclusion of a flexible data development approach as part of planning and design.
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McArdle, G., and R. Kitchin. "THE DUBLIN DASHBOARD: DESIGN AND DEVELOPMENT OF A REAL-TIME ANALYTICAL URBAN DASHBOARD." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-4/W1 (August 25, 2016): 19–25. http://dx.doi.org/10.5194/isprs-annals-iii-4-w1-19-2016.
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As many cities increase in size across multiple dimensions such as population, economic output and physical size, new methods for understanding and managing cities are required. Data produced by and about urban environments offer insight into what is happening in cities. Real-time data from sensors within the city record current transport and environmental conditions such as noise levels, water levels, journey times and public transport delays. Similarly administrative data such as demographics, employment statistics, property prices and crime rates all provide insight into how a city is evolving. Traditionally, these data were maintained separately and managed by individual city departments. Advances in technology and a move to open-government have placed many of these data in the public domain. Urban dashboards have emerged as a technique to visualise these data in an accessible way. This paper describes the implementation of one such dashboard, the Dublin Dashboard, an interactive website which collects, analyses and visualises data from a variety of sources about Dublin in Ireland through a series of interactive maps, graphs and applications. This paper describes the approach, the data and the technology used to develop the Dublin Dashboard and acts as a guideline for developing urban dashboards in other cities.
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McArdle, G., and R. Kitchin. "THE DUBLIN DASHBOARD: DESIGN AND DEVELOPMENT OF A REAL-TIME ANALYTICAL URBAN DASHBOARD." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W1 (September 5, 2016): 19–25. http://dx.doi.org/10.5194/isprs-annals-iv-4-w1-19-2016.
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As many cities increase in size across multiple dimensions such as population, economic output and physical size, new methods for understanding and managing cities are required. Data produced by and about urban environments offer insight into what is happening in cities. Real-time data from sensors within the city record current transport and environmental conditions such as noise levels, water levels, journey times and public transport delays. Similarly administrative data such as demographics, employment statistics, property prices and crime rates all provide insight into how a city is evolving. Traditionally, these data were maintained separately and managed by individual city departments. Advances in technology and a move to open-government have placed many of these data in the public domain. Urban dashboards have emerged as a technique to visualise these data in an accessible way. This paper describes the implementation of one such dashboard, the Dublin Dashboard, an interactive website which collects, analyses and visualises data from a variety of sources about Dublin in Ireland through a series of interactive maps, graphs and applications. This paper describes the approach, the data and the technology used to develop the Dublin Dashboard and acts as a guideline for developing urban dashboards in other cities.
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Khanbhai, Mustafa, Joshua Symons, Kelsey Flott, Stephanie Harrison-White, Jamie Spofforth, Robert Klaber, David Manton, Ara Darzi, and Erik Mayer. "Enriching the Value of Patient Experience Feedback: Web-Based Dashboard Development Using Co-design and Heuristic Evaluation." JMIR Human Factors 9, no. 1 (February 3, 2022): e27887. http://dx.doi.org/10.2196/27887.
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Background There is an abundance of patient experience data held within health care organizations, but stakeholders and staff are often unable to use the output in a meaningful and timely way to improve care delivery. Dashboards, which use visualized data to summarize key patient experience feedback, have the potential to address these issues. Objective The aim of this study is to develop a patient experience dashboard with an emphasis on Friends and Family Test (FFT) reporting, as per the national policy drive. Methods A 2-stage approach was used—participatory co-design involving 20 co-designers to develop a dashboard prototype, followed by iterative dashboard testing. Language analysis was performed on free-text patient experience data from the FFT, and the themes and sentiments generated were used to populate the dashboard with associated FFT metrics. Heuristic evaluation and usability testing were conducted to refine the dashboard and assess user satisfaction using the system usability score. Results The qualitative analysis from the co-design process informed the development of the dashboard prototype with key dashboard requirements and a significant preference for bubble chart display. The heuristic evaluation revealed that most cumulative scores had no usability problems (18/20, 90%), had cosmetic problems only (7/20, 35%), or had minor usability problems (5/20, 25%). The mean System Usability Scale score was 89.7 (SD 7.9), suggesting an excellent rating. Conclusions The growing capacity to collect and process patient experience data suggests that data visualization will be increasingly important in turning feedback into improvements to care. Through heuristic usability, we demonstrated that very large FFT data can be presented in a thematically driven, simple visual display without the loss of the nuances and still allow for the exploration of the original free-text comments. This study establishes guidance for optimizing the design of patient experience dashboards that health care providers find meaningful, which in turn drives patient-centered care.
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Kean, Jacob, Jorie Butler, Lisa Bunker, Matthew Goetz, Peter Glassman, Makoto Jones, Christopher Graber, Karl Madaras-Kelly, Matthew Samore, and Charlene Weir. "Causal Conditions Supporting Antibiotic Stewardship Information Dashboards." Open Forum Infectious Diseases 4, suppl_1 (2017): S326—S327. http://dx.doi.org/10.1093/ofid/ofx163.771.
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Abstract Background Antibiotic stewardship is key to minimizing antibiotic resistance. To assist antibiotic stewards in dissecting population-level antibiotic use patterns, our study group developed a dashboard that displays consolidated patterns, supports data exploration, and compares facility-level antibiotic use to others. We report fuzzy set qualitative comparative analyses (QCA) of interviews designed to elicit user experiences to uncover different combinations of causal conditions supporting dashboard use. Methods Dashboards were iteratively designed based upon longitudinal feedback from stewards. Views include antibiotic use stratified by diagnoses and duration of therapy. Eight VAMCs, each with 0.5 to 2.0 FTE stewards, used the dashboard. One to 2 stewards from each site were interviewed using a structured script that focused on: 1) structure (i.e., program FTE) and functions of the local stewardship program; 2) critical incident or usage story; and 3) perceived knowledge and efficacy. Results Qualitative codes were developed from the interviews and were scaled in a fuzzy logic framework (i.e., between 0 and 1) to reflect the degree to which the qualitative theme was present in the stewardship program at participating clinical sites. The scaling was assigned using prior knowledge external to the data. The most parsimonious QCA solution identified just the absence of program structure (program FTE) a sufficient causal configuration to the frequency of dashboard use (coverage = 0.612, consistency = 0.813). Intermediate solutions added stewardship activities, dashboard self-efficacy, and trust in the data (coverage = 0.502, consistency = 0.952) as sufficient conditions. The coverage for both solutions exceeded 0.75, which was the lower bound of acceptability. Conclusion The dashboard may be successfully integrated into institutions based on the complicated interplay between program structure (e.g., # FTE) and dashboard self-efficacy, experience with data-activities, and trust of population data. Incorporating user-centered design of dashboards supports the development of fully functional teams and has the potential for important population health impact. Disclosures All authors: No reported disclosures.
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Kummer, Benjamin R., Joshua Z. Willey, Michael J. Zelenetz, Yiping Hu, Soumitra Sengupta, Mitchell S. V. Elkind, and George Hripcsak. "Neurological Dashboards and Consultation Turnaround Time at an Academic Medical Center." Applied Clinical Informatics 10, no. 05 (October 2019): 849–58. http://dx.doi.org/10.1055/s-0039-1698465.
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Abstract Background Neurologists perform a significant amount of consultative work. Aggregative electronic health record (EHR) dashboards may help to reduce consultation turnaround time (TAT) which may reflect time spent interfacing with the EHR. Objectives This study was aimed to measure the difference in TAT before and after the implementation of a neurological dashboard. Methods We retrospectively studied a neurological dashboard in a read-only, web-based, clinical data review platform at an academic medical center that was separate from our institutional EHR. Using our EHR, we identified all distinct initial neurological consultations at our institution that were completed in the 5 months before, 5 months after, and 12 months after the dashboard go-live in December 2017. Using log data, we determined total dashboard users, unique page hits, patient-chart accesses, and user departments at 5 months after go-live. We calculated TAT as the difference in time between the placement of the consultation order and completion of the consultation note in the EHR. Results By April 30th in 2018, we identified 269 unique users, 684 dashboard page hits (median hits/user 1.0, interquartile range [IQR] = 1.0), and 510 unique patient-chart accesses. In 5 months before the go-live, 1,434 neurology consultations were completed with a median TAT of 2.0 hours (IQR = 2.5) which was significantly longer than during 5 months after the go-live, with 1,672 neurology consultations completed with a median TAT of 1.8 hours (IQR = 2.2; p = 0.001). Over the following 7 months, 2,160 consultations were completed and median TAT remained unchanged at 1.8 hours (IQR = 2.5). Conclusion At a large academic institution, we found a significant decrease in inpatient consult TAT 5 and 12 months after the implementation of a neurological dashboard. Further study is necessary to investigate the cognitive and operational effects of aggregative dashboards in neurology and to optimize their use.
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Bersani, Kerrin, Theresa E. Fuller, Pamela Garabedian, Jenzel Espares, Eli Mlaver, Alexandra Businger, Frank Chang, et al. "Use, Perceived Usability, and Barriers to Implementation of a Patient Safety Dashboard Integrated within a Vendor EHR." Applied Clinical Informatics 11, no. 01 (January 2020): 034–45. http://dx.doi.org/10.1055/s-0039-3402756.
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Abstract Background Preventable adverse events continue to be a threat to hospitalized patients. Clinical decision support in the form of dashboards may improve compliance with evidence-based safety practices. However, limited research describes providers' experiences with dashboards integrated into vendor electronic health record (EHR) systems. Objective This study was aimed to describe providers' use and perceived usability of the Patient Safety Dashboard and discuss barriers and facilitators to implementation. Methods The Patient Safety Dashboard was implemented in a cluster-randomized stepped wedge trial on 12 units in neurology, oncology, and general medicine services over an 18-month period. Use of the Dashboard was tracked during the implementation period and analyzed in-depth for two 1-week periods to gather a detailed representation of use. Providers' perceptions of tool usability were measured using the Health Information Technology Usability Evaluation Scale (rated 1–5). Research assistants conducted field observations throughout the duration of the study to describe use and provide insight into tool adoption. Results The Dashboard was used 70% of days the tool was available, with use varying by role, service, and time of day. On general medicine units, nurses logged in throughout the day, with many logins occurring during morning rounds, when not rounding with the care team. Prescribers logged in typically before and after morning rounds. On neurology units, physician assistants accounted for most logins, accessing the Dashboard during daily brief interdisciplinary rounding sessions. Use on oncology units was rare. Satisfaction with the tool was highest for perceived ease of use, with attendings giving the highest rating (4.23). The overall lowest rating was for quality of work life, with nurses rating the tool lowest (2.88). Conclusion This mixed methods analysis provides insight into the use and usability of a dashboard tool integrated within a vendor EHR and can guide future improvements and more successful implementation of these types of tools.
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Vannieuwenhuyze, J. "DASHBOARDS FOR INPUT-EVALUATION OF POLICY PROGRAMS: LESSONS LEARNED FROM AN ANTWERP DASHBOARD FOR GARDEN STREETS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences VI-4/W2-2020 (September 15, 2020): 173–79. http://dx.doi.org/10.5194/isprs-annals-vi-4-w2-2020-173-2020.
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Abstract. There is an ever-growing trend to pursue policies based on evidence-based and data-driven program evaluation research. In order to facilitate such evaluation research, electronic dashboards are increasingly used for translating sources of big and unstructured data into low-level summary visualizations understandable by layman policy-makers. In this paper, we report on the dashboard development process for an input-evaluation of new garden streets in the city of Antwerp. During this process, different lessons were learned. First, developers should start from a clearly defined policy question and analysis units in order to optimize the development process. Second, different types of key performance indicators exist, which should also be well-defined in advance so that appropriate data can be collected. Third, a dashboard should not be restricted to purely objective data-analyses but may also include features that facilitate subjective evaluation guided by assumptions and believes of the dashboard-user. These lessons helped us to make the dashboard requirements of Antwerp more concrete. Likewise, they may help other policy supporting dashboard developers to optimize their development processes.
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Diqy Fakhrun Shiddieq and Agna Hilyah. "PENGEMBANGAN DASHBOARD INTERAKTIF UNTUK MENINGKATKAN PEMAHAMAN DAN PENGAMBILAN KEPUTUSAN." J-ENSITEC 10, no. 02 (June 9, 2024): 999–1004. http://dx.doi.org/10.31949/jensitec.v10i02.9125.
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Interactive dashboards emerge as an effective solution to meet these needs by providing real-time visual displays of business performance and enabling users to explore data easily. Despite the increasing demand for interactive dashboards, many organizations still face challenges in developing and managing dashboards according to their needs. This study aims to develop an interactive dashboard for monitoring product sales that aligns with business objectives, using a case study of Adidas shoe sales with data obtained from www.keggle.com. The methodology employed in this research involves two processes: system analysis and system design. The findings of this research present a data analysis dashboard for Adidas shoe sales, including sales data, profit, revenue, and total sales data per month and per region for each product. The successful development of interactive dashboards is expected to provide significant benefits, including increased operational efficiency, cost savings, and enhanced competitiveness in the market