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Journal articles on the topic 'REDCap'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Garcia, Klauss Kleydmann Sabino, and Amanda Amaral Abrahão. "Research Development Using REDCap Software." Healthcare Informatics Research 27, no. 4 (2021): 341–49. http://dx.doi.org/10.4258/hir.2021.27.4.341.

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Objectives: High-quality clinical research is dependent on adequate design, methodology, and data collection. The utilization of electronic data capture (EDC) systems is recommended to optimize research data through proper management. This paper’s objective is to present the procedures of REDCap (Research Electronic Data Capture), which supports research development, and to promote the utilization of this software among the scientific community.Methods: REDCap’s web application version 10.4.1 released on 2021 (Vanderbilt University) is an EDC system suitable for clinical research development.

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Mare, I., S. Hazelhurst, B. Kramer, and M. Klipin. "The Process of Installing REDCap, a Web Based Database Supporting Biomedical Research." Applied Clinical Informatics 05, no. 04 (2014): 916–29. http://dx.doi.org/10.4338/aci-2014-06-cr-0054.

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Summary Background: Clinical and research data are essential for patient care, research and healthcare system planning. REDCapTM is a web-based tool for research data curatorship developed at Vanderbilt University in Nashville, USA. The Faculty of Health Sciences at the University of the Witwatersrand, Johannesburg South Africa identified the need for a cost effective data management instrument. REDCap was installed as per the user agreement with Vanderbilt University in August 2012. Objectives: In order to assist other institutions that may lack the in-house Information Technology capacity, t

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Ellis-Griffith, Gregory, Akihiko Michimi, Gary English, and Tina Peterson. "REDCap and Rural Health." International Journal of Reliable and Quality E-Healthcare 2, no. 1 (2013): 26–42. http://dx.doi.org/10.4018/ijrqeh.2013010103.

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This paper describes the opportunities for promoting collaborative research and improving rural health care delivery by the implementation of REDCap software. In the era of advanced technologies, rapid development and dissemination of electronic health data may be possible. Health data are accessed by collaborating researchers in various academic disciplines through the Internet. Community-based approaches to health care delivery through the mobile health clinics may be integrated into the development and utilization of databases through REDCap to improve rural health. Multifunctional features

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Wang, Ruiyu. "Development of 5G NR RedCap devices." Theoretical and Natural Science 5, no. 1 (2023): 496–500. http://dx.doi.org/10.54254/2753-8818/5/20230297.

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The subject of this paper is the RedCap technology. RedCap devices (known as Reduced Capability devices) are a new technology that is being studied by 3GPP in the R17 phase of 5G. RedCap can be defined as a lightweight version of 5G technology. The IoT application scenarios are extremely complex and diverse, and different scenarios have different requirements for network metrics. RedCap devices have emerged to fill the gap left by the withdrawal of 4G, i.e., to cover the needs of medium and high speeds. Specifically, it was designed to cover the needs of LTE Cat.1 and LTE Cat.4. Therefore, thi

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Tran, Vi, Farai Gwenzi, Phiona Marongwe, et al. "REDCap mobile data collection: Using implementation science to explore the potential and pitfalls of a digital health tool in routine voluntary medical male circumcision outreach settings in Zimbabwe." DIGITAL HEALTH 8 (January 2022): 205520762211121. http://dx.doi.org/10.1177/20552076221112163.

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Background Digital data collection tools improve data quality but are limited by connectivity. ZAZIC, a Zimbabwean consortium focused on scaling up male circumcision (MC) services, provides MC in outreach settings where both data quality and connectivity is poor. ZAZIC implemented REDCap Mobile app for data collection among roving ZAZIC MC nurses. To inform continued scale-up or discontinuation, this paper details if, how, and for whom REDCap improved data quality using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. Methods Data were collected for this

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Cantor, Zach, Amy C. Plint, Yael Kamil, and Roger Zemek. "REDCap: a pediatric ED experience." American Journal of Emergency Medicine 34, no. 10 (2016): 2048–49. http://dx.doi.org/10.1016/j.ajem.2016.08.013.

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McGrath, Dylan. "RedCap Set Expand Device Ecosystem." New Electronics 56, no. 6 (2023): 48–49. http://dx.doi.org/10.12968/s0047-9624(23)60820-x.

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de Veer, Bas, and Amy P. Dawson. "170 Role-based approach in REDCap training." Journal of Clinical and Translational Science 9, s1 (2025): 51. https://doi.org/10.1017/cts.2024.827.

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Objectives/Goals: REDCap is a popular electronic data capture tool. However, training users in how to best utilize REDCap can be a challenge for many institutions. The Clinical and Translational Science Institute (CTSI) strives to setup a self-service training program that takes the day to day roles of users into account. Methods/Study Population: Our new training curriculum is a collaboration with our Workforce Development team and our REDCap Support Team. The REDCap team functions as the subject matter experts and generate a training outline based on a certain feature or topic. The Workforce

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Lirette, Seth T., Samantha R. Seals, Chad Blackshear, and Warren May. "Capturing a Stata Dataset and Releasing it into REDcap." Stata Journal: Promoting communications on statistics and Stata 17, no. 1 (2017): 130–38. http://dx.doi.org/10.1177/1536867x1701700108.

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With technology advances, researchers can now capture data using web-based applications. One such application, Research Electronic Data Capture (REDCap), allows for data entry from any computer with an Internet connection. As the use of REDCap has increased in popularity, we have observed the need to easily create data dictionaries and data collection instruments for REDCap. The command presented in this article, redcapture, demonstrates one method to create a REDCap-ready data dictionary using a loaded Stata dataset, illustrated by examples of starting from an existing dataset or completely s

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Tikhvinskiy, Valery, Alexander Pastukh, Svetlana Dymkova, and Oleg Varlamov. "Compatibility Analysis Between RedCap Non-Public Networks and 5G NR in TDD FR1 and FR2 Bands." Inventions 10, no. 1 (2025): 12. https://doi.org/10.3390/inventions10010012.

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RedCap technology is set to become a critical component in the growth of the Internet of Things (IoT), enabling sensors and wearable devices for medical, industrial, and commercial applications. However, because RedCap primarily operates in non-public networks and does not synchronize its time-division duplexing (TDD) mode with 5G NR networks, interference risks arise. This is particularly concerning as traditional 5G NR networks prioritize downlink communication, whereas RedCap is designed for uplink. This study investigates the potential interference between RedCap non-public networks and 5G

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Тихвинский, В. О., Е. Е. Девяткин, А. С. Пастух, А. А. Савочкин та Ю. Я. Смирнов. "Применение технологии RedCap для оказания услуг IoT в сетях мобильной связи 5G". LAST MILE Russia 117, № 1 (2024): 58–66. http://dx.doi.org/10.22184/2070-8963.2024.117.1.58.66.

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Растущие потребности в развертывании сетей Интернета вещей на основе мобильной связи пятого поколения привели к появлению новой технологии RedCap и ее стандартизации в Релизах 17 и 18 Партнерского проекта 3GPP. Анализируются рыночные и технологические особенности технологии RedCap, а также особенности применение абонентских устройств RedCap в сетях 5G при оказании услуг Интернета вещей.

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Kusejko, Katharina, Daniel Smith, Alexandra Scherrer, et al. "Migrating a Well-Established Longitudinal Cohort Database From Oracle SQL to Research Electronic Data Entry (REDCap): Data Management Research and Design Study." JMIR Formative Research 7 (May 31, 2023): e44567. http://dx.doi.org/10.2196/44567.

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Background Providing user-friendly electronic data collection tools for large multicenter studies is key for obtaining high-quality research data. Research Electronic Data Capture (REDCap) is a software solution developed for setting up research databases with integrated graphical user interfaces for electronic data entry. The Swiss Mother and Child HIV Cohort Study (MoCHiV) is a longitudinal cohort study with around 2 million data entries dating back to the early 1980s. Until 2022, data collection in MoCHiV was paper-based. Objective The objective of this study was to provide a user-friendly

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O'Keefe, Anne L., Bryan F. Buss, Samir Koirala, Michael X. Gleason, Ashok Mudgapalli, and Shelly Schwedhelm. "REDCap for Biocontainment Worker Symptom Monitoring." Health Security 17, no. 1 (2019): 3–10. http://dx.doi.org/10.1089/hs.2018.0086.

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Toles, Aaryn, Barbara Tafuto, and Doreen Lechner. "21063 A Review of Novel Uses of REDCap in Clinical and Translational Science." Journal of Clinical and Translational Science 5, s1 (2021): 48–49. http://dx.doi.org/10.1017/cts.2021.529.

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ABSTRACT IMPACT: This review will encourage further development of novel uses of REDCap for the benefit of the research community. OBJECTIVES/GOALS: REDCap is a clinical research data collection platform that is primarily used as intended. However, little is known about its more novel uses, specifically in clinical decision support in patient care and in clinical research management. Thus, the purpose of this review is to examine peer reviewed literature identifying and describing such novel uses. METHODS/STUDY POPULATION: A systematic search was conducted in both PubMed and Google Scholar usi

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Barros, Aluísio, and Cauane Blumenberg. "Electronic data collection in epidemiological research." Applied Clinical Informatics 07, no. 03 (2016): 672–81. http://dx.doi.org/10.4338/aci-2016-02-ra-0028.

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SummaryThis paper describes the use of Research Electronic Data Capture (REDCap) to conduct one of the follow-up waves of the 2004 Pelotas birth cohort. The aim is to point out the advantages and limitations of using this electronic data capture environment to collect data and control every step of a longitudinal epidemiological research, specially in terms of time savings and data quality.We used REDCap as the main tool to support the conduction of a birth cohort follow-up. By exploiting several REDCap features, we managed to schedule assessments, collect data, and control the study workflow.

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Stambler, Danielle Mollie, Erin Feddema, Olivia Riggins, et al. "REDCap Delivery of a Web-Based Intervention for Patients With Voice Disorders: Usability Study." JMIR Human Factors 9, no. 1 (2022): e26461. http://dx.doi.org/10.2196/26461.

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Background Web-based health interventions are increasingly common and are promising for patients with voice disorders because web-based participation does not require voice use. To address needs such as Health Insurance Portability and Accountability Act compliance, unique user access, the ability to send automated reminders, and a limited development budget, we used the Research Electronic Data Capture (REDCap) data management platform to deliver a patient-facing psychological intervention designed for patients with voice disorders. This was a novel use of REDCap. Objective We aimed to evalua

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Tafuto, Barbara, Laasya Akurati, and Doreen Waldron Lechner. "110 REDCap as a Tool in Administrative Requirements for Academic Program Credentialing." Journal of Clinical and Translational Science 7, s1 (2023): 32. http://dx.doi.org/10.1017/cts.2023.193.

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OBJECTIVES/GOALS: Clinical research degree program accreditation brings value to university programs situated in competitive environments. While the requirements of accreditation can be burdensome and tedious, it remains important to program growth. The objective of this project was to assess the use of REDCap for the accreditation process to reduce that burden. METHODS/STUDY POPULATION: A review of credentialing requirements was conducted to identify required data and its sources. Initial course data from a small sample of courses was collected in Excel to better assess the order of the data

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Galloway, Taylor, Laura Hanson, Lysette Elsner, Margot Wrenn, Carol Griffin, and Gregory S. Day. "526 Administrative Simplification of Committee Reviews through REDCap." Journal of Clinical and Translational Science 8, s1 (2024): 156. http://dx.doi.org/10.1017/cts.2024.448.

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OBJECTIVES/GOALS: A Mayo Clinic in Florida committee completes 100+ Scientific Reviews annually through manual e-mail and Excel tracking, placing a manual burden on reviewers and coordinators. REDCap, an electronic data capture system, was leveraged to reduce the administrative burden.#_ftn1 #_ftnref2 METHODS/STUDY POPULATION: Historically, emails were sent by a coordinator to physicians, requesting their initial review and following up with reminders. This process was tracked using Excel, presenting a need to make this process more efficient, so a workgroup was created. To ensure all perspect

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Makundi, Frank Riessen Mtiiye, and Dr Maria Lauda Joel Goyayi. "The Influence of Redcap in Improving the Quality of Data in Sickle Cell Medical Research Program: The Case of Sickle Cell Program at Muhimbili National Hospital." European Journal of Theoretical and Applied Sciences 1, no. 6 (2023): 150–59. http://dx.doi.org/10.59324/ejtas.2023.1(6).15.

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The study examined the influence of REDCap in improving the quality of data in sickle cell medical research program. The study used descriptive research design whereas both qualitative and quantitative approaches were used where a cross-sectional design was employed to collect information at one time in particular point. A total of 52 questionnaires with closed-ended questions were distributed. Primary data were collected through survey and in-depth interviews. Data were analyzed by using SPSS which simplified process of data analysis; the program identified the position of the variables and m

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Frank, Riessen Mtiiye Makundi, and Maria Lauda Joel Goyayi Dr. "The Influence of Redcap in Improving the Quality of Data in Sickle Cell Medical Research Program: The Case of Sickle Cell Program at Muhimbili National Hospital." European Journal of Theoretical and Applied Sciences 1, no. 6 (2023): 150–59. https://doi.org/10.59324/ejtas.2023.1(6).15.

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The study examined the influence of REDCap in improving the quality of data in sickle cell medical research program. The study used descriptive research design whereas both qualitative and quantitative approaches were used where a cross-sectional design was employed to collect information at one time in particular point. A total of 52 questionnaires with closed-ended questions were distributed. Primary data were collected through survey and in-depth interviews. Data were analyzed by using SPSS which simplified process of data analysis; the program identified the position of the variables and m

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Kost, Rhonda G., Joseph Andrews, Ranee Chatterjee, et al. "471 Empowering the Participant Voice (EPV): Participant Feedback to Improve the Clinical Research Enterprise." Journal of Clinical and Translational Science 6, s1 (2022): 93. http://dx.doi.org/10.1017/cts.2022.275.

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OBJECTIVES/GOALS: Six CTSA sites formed a collaboration to DEVELOP, DEMONSTRATE, AND DISSEMINATE new infrastructure to streamline collection and analysis of research participant feedback, using the Research Participant Perception Survey (RPPS), common standards, and customized REDCap-based tools, to improve the clinical research enterprise. METHODS/STUDY POPULATION: DEVELOP charter, consensus approach, core survey, deployment standards, data-use agreements; define meta-data, system requirements for the infrastructure, use-cases. Engage stakeholders for broad institutional and community input.

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Cheng, A. C., S. N. Duda, R. Taylor, et al. "REDCap on FHIR: Clinical Data Interoperability Services." Journal of Biomedical Informatics 121 (September 2021): 103871. http://dx.doi.org/10.1016/j.jbi.2021.103871.

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Munier, Florent, Zhilan Xiong, Ritesh Shreevastav, et al. "Positioning of RedCap Devices in 5G Networks." IEEE Communications Magazine 62, no. 8 (2024): 110–16. http://dx.doi.org/10.1109/mcom.001.2300802.

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Hurria, Arti, Chie Akiba, Jerome Kim, et al. "Reliability, Validity, and Feasibility of a Computer-Based Geriatric Assessment for Older Adults With Cancer." Journal of Oncology Practice 12, no. 12 (2016): e1025-e1034. http://dx.doi.org/10.1200/jop.2016.013136.

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Purpose: The goal of this study was to evaluate the feasibility, reliability, and validity of a computer-based geriatric assessment via two methods of electronic data capture ( SupportScreen and REDCap) compared with paper-and-pencil data capture among older adults with cancer. Methods: Eligible patients were ≥ 65 years old, had a cancer diagnosis, and were fluent in English. Patients were randomly assigned to one of four arms, in which they completed the geriatric assessment twice: (1) REDCap and paper and pencil in sessions 1 and 2; (2) REDCap in both sessions; (3) SupportScreen and paper an

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Güleç, Ülkü, Jehad M. Hamamreh, and Seyfettin Sinan Gültekin. "MA-OFDM-SPM: A NEW MULTIPLE ACCESS TECHNIQUE FOR 3GPP-DEFINED REDCAP IOT DEVICES." Konya Journal of Engineering Sciences 13, no. 1 (2025): 1–10. https://doi.org/10.36306/konjes.1530104.

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RedCap devices face challenges related to efficient multiple access techniques that can fully leverage their potential while adhering to their constraints. There are many multiple access techniques proposed in the literature recently, but none of them is deemed a good fit for the multi-facet requirements of RedCap devices. Motivated by that, this paper introduces a new multiple-access technique designed to address these challenges, aiming to optimize the performance and efficiency of RedCap devices in various application scenarios. The proposed technique seeks to enhance data rates, reduce lat

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El Dahr, Yola, Florence Perquier, Madison Moloney, et al. "Feasibility of Using Research Electronic Data Capture (REDCap) to Collect Daily Experiences of Parent-Child Dyads: Ecological Momentary Assessment Study." JMIR Formative Research 7 (November 9, 2023): e42916. http://dx.doi.org/10.2196/42916.

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Background Intensive longitudinal data collection, including ecological momentary assessment (EMA), has the potential to reduce recall biases, collect more ecologically valid data, and increase our understanding of dynamic associations between variables. EMA is typically administered using an application that is downloaded on participants’ devices, which presents cost and privacy concerns that may limit its use. Research Electronic Data Capture (REDCap), a web-based survey application freely available to nonprofit organizations, may allow researchers to overcome these barriers; however, at pre

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Paris, Bonnie L., and Denise M. Hynes. "Diffusion, implementation, and use of Research Electronic Data Capture (REDCap) in the Veterans Health Administration (VA)." JAMIA Open 2, no. 3 (2019): 312–16. http://dx.doi.org/10.1093/jamiaopen/ooz017.

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Abstract This case study describes the implementation of the Research Electronic Data Capture (REDCap) software at the United States Department of Veterans Affairs Veterans Health Administration (VA). VA REDCap enables secure and standardized data collection, fosters collaboration with external researchers through use of a widely used data management tool, facilitates multisite studies through use of data forms that can be shared across sites within and outside the VA, is well suited to health services research studies and quality improvement projects, and enables exporting data for analysis i

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Bansal, Vikas, Mayank Sharma, Neha Deo, et al. "Variations in Administrative Approvals During the COVID-19 Pandemic at Participating Sites in the Society of Critical Care Medicine Discovery Network Viral Infection and Respiratory Illness Universal Study: COVID-19 Registry: A Cross-Sectional Study." Critical Care Explorations 4, no. 12 (2022): e0822. http://dx.doi.org/10.1097/cce.0000000000000822.

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OBJECTIVES: There is a paucity of literature regarding administrative approvals required for clinical studies during a pandemic. We aimed to evaluate variation in duration of administrative approvals within the Viral Infection and Respiratory illness Universal Study (VIRUS): A Global COVID-19 Registry. DESIGN, SETTING, AND SUBJECTS: Survey analysis of 188 investigators who participated in the VIRUS: COVID-19 registry, a prospective, observational global registry database of 287 sites. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: For each study site approved through December 8, 2020, we

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Amin, Waqas, Saravanan Kanakasabai, Randall Grout, Joe Butler, Scott Michael, and Titus Schleyer. "348 Real-time data synchronization: Assessing the implementation of REDCap CDIS (Clinical Data Interoperability Service) for EHR systems." Journal of Clinical and Translational Science 9, s1 (2025): 107. https://doi.org/10.1017/cts.2024.975.

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Objectives/Goals: This study tests the REDCap Clinical Data Interoperability Service (CDIS) for streamlined data extraction from electronic health records (EHRs) for research. Managed by Clinical and Translational Science Institute, IU Health, and Eskenazi Health, CDIS offers real-time data syncing, automated workflows, and HIPAA-compliant data security. Methods/Study Population: The REDCap CDIS uses the Fast Health Interoperability Resource (FHIR) Application Programming Interface (API) to extract data from EHRs. It includes the Clinical Data Pull (CDP), which automatically pulls EHR data int

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Gesell, Sabina B., Jacqueline R. Halladay, Laurie H. Mettam, Mysha E. Sissine, B. Lynette Staplefoote-Boynton, and Pamela W. Duncan. "Using REDCap to track stakeholder engagement: A time-saving tool for PCORI-funded studies." Journal of Clinical and Translational Science 4, no. 2 (2020): 108–14. http://dx.doi.org/10.1017/cts.2019.444.

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AbstractBackground:Research Electronic Data Capture (REDCap) is a secure, web-based electronic data capture application for building and managing surveys and databases. It can also be used for study management, data transfer, and data export into a variety of statistical programs. REDcap was developed and supported by the National Center for Advancing Translational Sciences Program and is used in over 3700 institutions worldwide. It can also be used to track and measure stakeholder engagement, an integral element of research funded by the Patient-Centered Outcomes Research Institute (PCORI). C

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KAWAKAMI, HIDEFUMI. "Glutamic acid transformer redcap and nerve cell lethal." Kagaku To Seibutsu 35, no. 10 (1997): 722–23. http://dx.doi.org/10.1271/kagakutoseibutsu1962.35.722.

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Hanna, Richard, Ezra Porter, Stephany Romero, Paul Wildenhain, William Beasley, and Stephan Kadauke. "REDCapTidieR: Extracting complex REDCap databases into tidy tables." Journal of Open Source Software 9, no. 94 (2024): 6277. http://dx.doi.org/10.21105/joss.06277.

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Robles-Schrader, Grisel M., Gina Curry, Josefina Serrato, Jen Brown, and Keith A. Herzog. "3372 Developing a REDCap Database to Understand Partnership Cultivation Efforts." Journal of Clinical and Translational Science 3, s1 (2019): 87. http://dx.doi.org/10.1017/cts.2019.200.

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OBJECTIVES/SPECIFIC AIMS:.Outline the development and purpose of the partnership brokering database in REDCap. Provide an overview of the tool and how it works. Discuss how this tool facilitates partnership-brokering activities and discuss plans for future use METHODS/STUDY POPULATION: Research Electronic Data Capture (REDCap) is a secure, web-based application developed at Vanderbilt University to assist with systematic data management of small and medium sized projects. CCH utilized REDCap to build a custom data management warehouse entitled the Partnership Brokering Tool. Information compil

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Hawley, Steve, Joanna Yu, Nikola Bogetic, et al. "Digitization of Measurement-Based Care Pathways in Mental Health Through REDCap and Electronic Health Record Integration: Development and Usability Study." Journal of Medical Internet Research 23, no. 5 (2021): e25656. http://dx.doi.org/10.2196/25656.

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Background The delivery of standardized self-report assessments is essential for measurement-based care in mental health. Paper-based methods of measurement-based care data collection may result in transcription errors, missing data, and other data quality issues when entered into patient electronic health records (EHRs). Objective This study aims to help address these issues by using a dedicated instance of REDCap (Research Electronic Data Capture; Vanderbilt University)—a free, widely used electronic data capture platform—that was established to enable the deployment of digitized self-assess

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Kost, Rhonda G., Joseph Andrews, Ranee Chatterjee, et al. "143 Wouldn’t you like to know what your research study participants are thinking? A collaboration for Empowering the Participant Voice." Journal of Clinical and Translational Science 7, s1 (2023): 43–44. http://dx.doi.org/10.1017/cts.2023.225.

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OBJECTIVES/GOALS: Empowering the Participant Voice (EPV) is a Rockefeller-led 6-CTSA consortium that aims to collect research participant feedback through new Research Participant Perception Survey (RPPS)/REDCap infrastructure and data aggregation to a national database. Here we describe diverse Use Cases and launch dissemination to other hubs. METHODS/STUDY POPULATION: The EPV team refined the RPPS-S and developed fielding and data standards, a multi-lingual RPPS/REDCap project XML, At-a-Glance Dashboard, EPV Consortium Database, and Use Cases to align with local initiatives and stakeholder i

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Shahriar, Hossain, Evbusogie Sogbesan, Lorna Migiro, et al. "Technology Adoption Model-Based Comparison of Clinical Trial Software." International Journal of Applied Research on Public Health Management 8, no. 1 (2023): 1–24. http://dx.doi.org/10.4018/ijarphm.315803.

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Clinical research management systems are mainly used by both pharmaceutical companies and biotechnology companies to manage the clinical trial process from start to finish. Due to the very nature and complexity of the clinical research process, having a system that is easy to use and understand as well as navigate will ensure that the whole process is streamlined, with very few bottlenecks and limitations. In this work, the authors examined the use of two different clinical research systems, JEEVA and REDCAP, with the aim of understanding users' intentions and behavior towards the use of both

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Guo, D. "Regionalization with dynamically constrained agglomerative clustering and partitioning (REDCAP)." International Journal of Geographical Information Science 22, no. 7 (2008): 801–23. http://dx.doi.org/10.1080/13658810701674970.

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Metts, Christopher. "REDCap, iOS, and ResearchKit Integration for Clinical Decision Support." American Journal of Clinical Pathology 147, suppl_2 (2017): S177. http://dx.doi.org/10.1093/ajcp/aqw191.053.

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Crane, Stacey, Robert Skipworth Comer, Andrew D. Arenson, and Claire Draucker. "Using REDCap to Facilitate Web-Based Therapeutic Intervention Research." Nursing Research 68, no. 6 (2019): 483–87. http://dx.doi.org/10.1097/nnr.0000000000000367.

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Putri, Sherly Ayuna, and Hazar Kusmayanti. "SOSIALISASI PENANGANAN COVID-19 DENGAN PROGRAM TELEHEALTH DI KELURAHAN CIBEREUM KOTA CIMAHI." Kumawula: Jurnal Pengabdian Kepada Masyarakat 4, no. 1 (2021): 23. http://dx.doi.org/10.24198/kumawula.v4i1.29898.

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Sejak awal masa penyebaran COVID-19 di Indonesia, tercatat hingga saat ini Indonesia telah menyumbang 100.303 angka kasus positif COVID-19. Hal ini menunjukan perlu adanya suatu tindakan penanganan serta pencegahan penyebaran COVID-19. Salah satu upaya yang digagas Universitas Padjajaran sebagai bentuk pencegahan dan pengawasan kesehatan masyarakat untuk mencegah dan menanggulangi virus COVID-19 adalah dengan meluncurkan program ADA AMARI COVID-19. Program ADA AMARI diselenggarakan untuk mengembangkan model sistem respon masyarakat melalui pendidikan dan pemantauan penduduk berisiko tinggi yan

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Paolucci, Alessandra, Sarah MacDonald, Dailys Garcia-Jorda, et al. "Examining the Usefulness of Patient Documentation Forms as a Tool for Community Health Navigators." Alberta Academic Review 2, no. 3 (2020): 21. http://dx.doi.org/10.29173/aar115.

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Introduction | Effective documentation of patient encounters may influence Community Health Navigators’ (CHNs) success in providing support to patients as well as provide a data source to examine CHN practices. The ENhancing COMmunity health through Patient navigation, Advocacy, and Social Support (ENCOMPASS) study, based in partnership between the University of Calgary and the Mosaic Primary Care Network (MPCN) is evaluating a CHN program to determine whether CHNs improve outcomes for patients with multiple chronic conditions. CHNs support their patients by helping them navigate the health sy

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Subramain, Maran, DeAnna O’Quinn, and Heath Davis. "4124 An innovative Tool for Completing the Clinical and Translational Science Award (CTSA) Research Performance Progress Report (RPPR) using REDCap." Journal of Clinical and Translational Science 4, s1 (2020): 69–70. http://dx.doi.org/10.1017/cts.2020.229.

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OBJECTIVES/GOALS: The RPPR Tool was created to accurately and systematically track our CTSA’s overall program goals and core’s progress in real time. It establishes and centralizes the continuous collection of key performance indicators and fosters accountability and transparency among cores and leadership. METHODS/STUDY POPULATION: Using the University of Chicago’s Annual Progress Report REDCap data dictionary, UI Institute for Clinical and Translational Science (ICTS) core managers convened to explore the adaptability of the reporting format for the CTSA. The team developed the more user fri

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Lininger, Monica R., Christine Kirby, Kelly A. Laurila, et al. "Building Research Infrastructure: The Development of a Technical Assistance Group-Service Center at an RCMI." International Journal of Environmental Research and Public Health 20, no. 1 (2022): 191. http://dx.doi.org/10.3390/ijerph20010191.

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As one of the Research Centers for Minority Institutions (RCMI), the Southwest Health Equity Research Collaborative (SHERC) worked over the first five-year period of funding to foster the advancement of Early Stage Investigators, enhance the quality of health disparities research, and increase institution research capacity in basic Biomedical, Behavioral, and/or Clinical research; all priorities of RCMIs. In year 4, the Technical Assistance Group-Service Center (TAG-SC) was created to help achieve these goals. The TAG-SC provides one-on-one investigator project development support, including r

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Benevides, Thais, Edmar Gurjão, and Larissa Brito. "Modelo de análise de decisão multicritério para a escolha do melhor doador de células tronco hematopoiéticas." Research, Society and Development 13, no. 1 (2024): e3313144678. http://dx.doi.org/10.33448/rsd-v13i1.44678.

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O transplante alogênico de células-tronco hematopoéticas é empregado no tratamento de doenças hematológicas e não hematológicas, transferindo células-tronco de um doador saudável para o paciente. A seleção do doador requer compatibilidade do antígeno leucocitário humano, considerando fatores como idade, correspondência entre sexos, tipagem sanguínea e sorologia para citomegalovírus, sendo uma estratégia essencial para o sucesso do transplante. Este artigo propõe integrar duas ferramentas: REDCap (Research Electronic Data Capture) para formulários eletrônicos e DEXi para análise de decisão mult

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Moloudi, Saeedeh, Mohammad Mozaffari, Sandeep Narayanan Kadan Veedu, et al. "Coverage Evaluation for 5G Reduced Capability New Radio (NR-RedCap)." IEEE Access 9 (2021): 45055–67. http://dx.doi.org/10.1109/access.2021.3066036.

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Bangdiwala, Ananta S., and David R. Boulware. "Technical procedures and REDCap tools for internet-based clinical trials." Contemporary Clinical Trials 114 (March 2022): 106660. http://dx.doi.org/10.1016/j.cct.2021.106660.

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Zeng, Tianjiao, Hayden K. H. So, and Edmund Y. Lam. "RedCap: residual encoder-decoder capsule network for holographic image reconstruction." Optics Express 28, no. 4 (2020): 4876. http://dx.doi.org/10.1364/oe.383350.

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Wright, Andrea. "REDCap: A Tool for the Electronic Capture of Research Data." Journal of Electronic Resources in Medical Libraries 13, no. 4 (2016): 197–201. http://dx.doi.org/10.1080/15424065.2016.1259026.

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Au, Karolyn, Farshad Nassiri, Kate Drummond, et al. "EPID-31. EFFICIENT STUDY OF SURGICALLY TREATED MENINGIOMA THROUGH CLINICAL DATA STANDARDIZATION." Neuro-Oncology 21, Supplement_6 (2019): vi81. http://dx.doi.org/10.1093/neuonc/noz175.331.

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Abstract With increasing epidemiological and biological studies on meningiomas, standardized clinical data capture will be necessary to interpret results across studies and to translate them to clinical practice. To meet this need for consistent clinical data capture, the International Consortium on Meningioma, has developed a set of common data elements (CDEs), to be used across clinical and biological research. Building from terminology used in clinical practice and ongoing studies, we used a consensus-of-experts approach to arrive at a set of standardized and vetted data elements. Areas of

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Carvajal, Cristobal, Catalina Vallejos, Dominique Lemaitre, et al. "A REDCap application that links researchers, animal facility staff and members of the IACUC in animal health monitoring." Laboratory Animals 53, no. 5 (2018): 500–507. http://dx.doi.org/10.1177/0023677218815723.

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Research studies involving animal experimentation are regulated by the Institutional Animal Care and Use Committee (IACUC). To this end, the IACUC must integrate the information provided by the investigators of each preclinical study and the veterinarians from the animal facility in order to monitor and approve the process. Using a paper-based system to collect animal health and welfare data is a common, albeit time-consuming practice, prone to transcription and reading errors, not to mention inconvenient for veterinarians and investigators wishing to make timely and collaborative decisions wh

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