Relevant bibliographies by topics / Health informatics

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Health informatics'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 July 2024

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Journal articles on the topic "Health informatics"

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Guardia, A., and B. C. Boyer. "Personal Health and Consumer Informatics." Yearbook of Medical Informatics 21, no. 01 (August 2012): 25–29. http://dx.doi.org/10.1055/s-0038-1639426.

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SummaryTo summarize current outstanding research in the field of Personal Health and Consumers Informatics.A selection of excellent research articles published in 2011 in the field of Personal Health Informatics and Consumer Informatics.This selection of articles shows that Personal Health Informatics is changing. Indeed, the different solutions tended to the doctors and their interaction, but also tended to the patient in order for him to be more active in his own medical healthcare. The consumer section highlights the development of the social network and the possible limitations.
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Singer, Jennifer S., Eric M. Cheng, Kevin Baldwin, and Michael A. Pfeffer. "The UCLA Health Resident Informaticist Program – A Novel Clinical Informatics Training Program." Journal of the American Medical Informatics Association 24, no. 4 (January 23, 2017): 832–40. http://dx.doi.org/10.1093/jamia/ocw174.

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Abstract Few opportunities exist for physician trainees to gain exposure to, and training in, the field of clinical informatics, an Accreditation Council for Graduate Medical Education–accredited, recently board-certified specialty. Currently, 21 approved programs exist nationwide for the formal training of fellows interested in pursuing careers in this discipline. Residents and fellows training in medical and surgical fields, however, have few avenues available to gain experience in clinical informatics. An early introduction to clinical informatics brings an opportunity to generate interest for future career trajectories. At University of California Los Angeles (UCLA) Health, we have developed a novel, successful, and sustainable program, the Resident Informaticist Program, with the goals of exposing physician trainees to the field of clinical informatics and its academic nature and providing opportunities to expand the clinical informatics workforce. Herein, we provide an overview of the development, implementation, and current state of the UCLA Health Resident Informaticist Program, with a blueprint for development of similar programs.
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Frank Cervone, H. "Perspectives on informatics in the health sciences for information professionals." Digital Library Perspectives 32, no. 4 (November 14, 2016): 226–31. http://dx.doi.org/10.1108/dlp-07-2016-0020.

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Purpose Informatics is a relatively new interdisciplinary field which is not very well understood outside of specific disciplinary communities. With a review of the history of informatics and a discussion of the various branches of informatics related to health-care practice, the paper aims to provide an overview designed to enhance the understanding of an information professional interested in this field. Design/methodology/approach The paper is designed to provide a basic introduction to the topic of informatics for information professionals unfamiliar with the field. Using a combination of historical and current sources, the role of informatics in the health professions is explored through its history and development. Findings The emergence of informatics as a discipline is a relatively recent phenomenon. Informatics is neither information technology (IT) nor information science but shares many common interests, concerns and techniques with these other two fields. The role of the informaticist is to transform data to knowledge and information. Consequently, while the outcomes may be different, there are many commonalities in informatics with the work information professionals perform. Originality/value Most introductions to informatics assume the reader is either an IT professional or a clinical practitioner in one of the health science fields. This paper takes a unique approach by positioning the discussion of the history and application of informatics in the health sciences from the perspective of the information professional.
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Adejumo, A., D. Luna, and A. Marcelo. "Health Informatics for Development: a Threepronged Strategy of Partnerships, Standards, and Mobile Health." Yearbook of Medical Informatics 20, no. 01 (August 2011): 96–101. http://dx.doi.org/10.1055/s-0038-1638745.

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SummaryDescribe the issues surrounding health informatics in developing countries and the challenges faced by practitioners in building internal capacity. From these issues, the authors propose cost-effective strategies that can fast track health informatics development in these low to medium income countries (LMICs).The authors conducted a review of literature and consulted key opinion leaders who have experience with health informatics implementations around the world.Despite geographic and cultural differences, many LMICs share similar challenges and opportunities in developing health informatics.Partnerships, standards, and inter-operability are well known components of successful informatics programs. Establishing partnerships can be comprised of formal inter-institutional collaborations on training and research, collaborative open source software development, and effective use of social networking. Lacking legacy systems, LMICs can discuss standards and inter-operability more openly and have greater potential for success. Lastly, since cellphones are pervasive in developing countries, they can be leveraged as access points for delivering and documenting health services in remote under-served areas. Mobile health or mHealth gives LMICs a unique opportunity to leapfrog through most issues that have plagued health informaticsin developed countries. By employing this proposed roadmap, LMICs can now develop capacity for health informaticsusing appropriate and cost-effective technologies.
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Moehr, J. R. "Where to in the Next Ten Years of Health Informatics Education?" Methods of Information in Medicine 45, no. 03 (2006): 283–87. http://dx.doi.org/10.1055/s-0038-1634076.

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Summary Objectives: To explore whether education in health/ medical informaticsa should continue to evolve along the lines pursued since the early seventies, or whether a change is advisable. Methods: Roots and key resulting characteristics for European and US American approaches HI education are identified. In Europe holistic approaches based on a synthesis of medicine and informatics (= computer science) with programs ranging from vocational training through university programs to doctoral and postdoctoral programs were characteristic. The US American approaches emphasized the higher levels of education and a diverse selection of specialized subjects. Changes in health and health informatics are summarized. Results: Two types of changes are identified: high-tech applications arising at the interface of imaging, robotics, and the -omics (genomics, proteomics, metabolomics), and invasive applications centering on consumer health informatics and a move from curative to prospective health care. Conclusions: It is proposed that curative medicine is adequately served by current educational approaches, but that the move towards prospective health care requires a move towards education and change management for health professionals and health informatics professionals.
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Mudumbai, Seshadri C., Rodney A. Gabriel, Stephen Howell, Jonathan M. Tan, Robert E. Freundlich, Vikas O’Reilly Shah, Samir Kendale, Karl Poterack, and Brian S. Rothman. "Public Health Informatics and the Perioperative Physician: Looking to the Future." Anesthesia & Analgesia 138, no. 2 (January 12, 2024): 253–72. http://dx.doi.org/10.1213/ane.0000000000006649.

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The role of informatics in public health has increased over the past few decades, and the coronavirus disease 2019 (COVID-19) pandemic has underscored the critical importance of aggregated, multicenter, high-quality, near-real-time data to inform decision-making by physicians, hospital systems, and governments. Given the impact of the pandemic on perioperative and critical care services (eg, elective procedure delays; information sharing related to interventions in critically ill patients; regional bed-management under crisis conditions), anesthesiologists must recognize and advocate for improved informatic frameworks in their local environments. Most anesthesiologists receive little formal training in public health informatics (PHI) during clinical residency or through continuing medical education. The COVID-19 pandemic demonstrated that this knowledge gap represents a missed opportunity for our specialty to participate in informatics-related, public health-oriented clinical care and policy decision-making. This article briefly outlines the background of PHI, its relevance to perioperative care, and conceives intersections with PHI that could evolve over the next quarter century.
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Haux, R., F. J. Leven, J. R. Moehr, and D. J. Protti. "Health and Medical Informatics Education." Methods of Information in Medicine 33, no. 03 (1994): 246–49. http://dx.doi.org/10.1055/s-0038-1635023.

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Abstract:Health and medical informatics education has meanwhile gained considerable importance for medicine and for health care. Specialized programs in health/medical informatics have therefore been established within the last decades.This special issue of Methods of Information in Medicine contains papers on health and medical informatics education. It is mainly based on selected papers from the 5th Working Conference on Health/Medical Informatics Education of the International Medical Informatics Association (IMIA), which was held in September 1992 at the University of Heidelberg/Technical School Heilbronn, Germany, as part of the 20 years’ celebration of medical informatics education at Heidelberg/Heilbronn. Some papers were presented on the occasion of the 10th anniversary of the health information science program of the School of Health Information Science at the University of Victoria, British Columbia, Canada. Within this issue, programs in health/medical informatics are presented and analyzed: the medical informatics program at the University of Utah, the medical informatics program of the University of Heidelberg/School of Technology Heilbronn, the health information science program at the University of Victoria, the health informatics program at the University of Minnesota, the health informatics management program at the University of Manchester, and the health information management program at the University of Alabama. They all have in common that they are dedicated curricula in health/medical informatics which are university-based, leading to an academic degree in this field. In addition, views and recommendations for health/medical informatics education are presented. Finally, the question is discussed, whether health and medical informatics can be regarded as a separate discipline with the necessity for specialized curricula in this field.In accordance with the aims of IMIA, the intention of this special issue is to promote the further development of health and medical informatics education in order to contribute to high quality health care and medical research.
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Hollis, Kate Fultz, Fleur Mougin, and Lina F. Soualmia. "Informatics for One Health." Yearbook of Medical Informatics 32, no. 01 (August 2023): 002–6. http://dx.doi.org/10.1055/s-0043-1768757.

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Objectives: To introduce the 2023 International Medical Informatics Association (IMIA) Yearbook by the editors. Methods: The editorial provides an introduction and overview to the 2023 IMIA Yearbook where the special topic is “Informatics for One Health”. The special topic, survey papers and some best papers are discussed. The section changes in the Yearbook editorial committee are also described. Results: IMIA Yearbook 2023 provides many perspectives on a relatively new topic called “One Digital Health”. The subject is vast, and includes the use of digital technologies to promote the well-being of people and animals, but also of the environment in which they evolve. Many sections produced new work in the topic including One Health and all sections included the latest themes in many specialties in medical informatics. Conclusions: The theme of “Informatics for One Health” is relatively new but the editors of the IMIA Yearbook have presented excellent and thought-provoking work for biomedical informatics in 2023.
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Garde, Sebastian, David Harrison, Mohammed Huque, and Evelyn JS Hovenga. "Building health informatics skills for health professionals: results from the Australian Health Informatics Skill Needs Survey." Australian Health Review 30, no. 1 (2006): 34. http://dx.doi.org/10.1071/ah060034.

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Objective: To ascertain health professionals? perceptions of health informatics skills required in their roles. Design: A paper-based survey with a stratified random sample of Australian health professionals and a web-based survey open to all Australian health professionals were conducted. Measurement: A questionnaire on the health professionals? perceived degree of competency required for a total of 69 specific skills in five skill categories based on the International Medical Informatics Association?s (IMIA) set of recommendations on education and IMIA?s scientific map. Results: 462 health professionals responded to the paper-based questionnaire, and 167 respondents to the Internet questionnaire. Internet respondents reported higher required degrees of competency for specific health informatics and information technology skills than paper respondents, while paper respondents valued clinical skills higher than the Internet respondents. Conclusion: Health professionals increasingly use information technology (IT), and some also deploy, research or develop health care IT. Consequently, they need to be adequately educated for their specific roles in health informatics. Our results inform developers of educational programs while acknowledging the diversity of roles in health informatics and the diversity of pathways towards a professional health informatics qualification.
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Lee, Robert, James Hitt, Geoffrey G. Hobika, and Nader D. Nader. "The Case for the Anesthesiologist-Informaticist." JMIR Perioperative Medicine 5, no. 1 (February 28, 2022): e32738. http://dx.doi.org/10.2196/32738.

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Health care has been transformed by computerization, and the use of electronic health record systems has become widespread. Anesthesia information management systems are commonly used in the operating room to maintain records of anesthetic care delivery. The perioperative environment and the practice of anesthesia generate a large volume of data that may be reused to support clinical decision-making, research, and process improvement. Anesthesiologists trained in clinical informatics, referred to as informaticists or informaticians, may help implement and optimize anesthesia information management systems. They may also participate in clinical research, management of information systems, and quality improvement in the operating room or throughout a health care system. Here, we describe the specialty of clinical informatics, how anesthesiologists may obtain training in clinical informatics, and the considerations particular to the subspecialty of anesthesia informatics. Management of perioperative information systems, implementation of computerized clinical decision support systems in the perioperative environment, the role of virtual visits and remote monitoring, perioperative informatics research, perioperative process improvement, leadership, and change management are described from the perspective of the anesthesiologist-informaticist.
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Dissertations / Theses on the topic "Health informatics"

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Karlsson, Johan. "Information structures and workflows in health care informatics." Doctoral thesis, Umeå universitet, Institutionen för datavetenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-33829.

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Patient data in health care have traditionally been used to support direct patient care. Although there is great potential in combining such data with genetic information from patients to improve diagnosis and therapy decisions (i.e. personalized medicine) and in secondary uses such as data mining, this is complex to realize due to technical, commercial and legal issues related with combining and refining patient data. Clinical decision support systems (CDSS) are great catalysts for enabling evidence-based medicine in clinical practice. Although patient data can be the base for CDSS logic, it is often scattered among heterogenous data sources (even in different health care centers). Data integration and subsequent data mining must consider codification of patient data with terminology systems in addition to legal and ethical aspects of using such data. Although computerization of the patient record systems has been underway for a long time, some data is still unstructured. Investigation regarding the feasibility of using electronic patient records (EPR) as data sources for data mining is therefore important. Association rules can be used as a base for CDSS development. Logic representation affect the usability of the systems and the possibility of providing explanations of the generated advice. Several properties of these rules are relatively easy to explain (such as support and confidence), which in itself can improve end-user confidence in advice from CDSS. Information from information sources other than the EPR can also be important for diagnosis and/or treatment decisions. Drug prescription is a process that is particularly dependent on reliable information regarding, among other things, drug-drug interactions which can have serious effects. CDSS and other information systems are not useful unless they are available at the time and location of patient care. This motivates using mobile devices for CDSS. Information structures of interactions affect representation in informatics systems. These structures can be represented using a category theory based implementation of rough sets (rough monads). Development of guidelines and CDSS can be based on existing guidelines with connections to external information systems that validate advice given the particular patient situation (for example, previously prescribed drugs may interact with recommended drugs by CDSS). Rules for CDSS can also be generated directly from patient data but this assumes that such data is structured and representative. Although there is great potential in CDSS to improve the quality and efficiency of health care, these systems must be properly integrated with existing processes in health care (workflows) and with other information systems. Health care workflows manage physical resources such as patients and doctors and can help to standardize care processes and support management decisions through workflow simulation. Such simulations allow information bottle-necks or insufficient resources (equipment, personnel) to be identified. As personalized medicine using genetic information of patients become economically feasible, computational requirements increase. In this sense, distributing computations through web services and system-oriented workflows can complement human-oriented workflows. Issues related to dynamic service discovery, semantic annotations of data, service inputs/outputs affect the feasibility of system-oriented workflow construction and sharing. Additionally, sharing of system-oriented workflows increase the possibilities of peer-review and workflow re-usage.
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Ebenezer, Catherine. "Health informatics on the Web." Free Pint Ltd, 2002. http://hdl.handle.net/10150/106500.

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Koopman, Bevan Raymond. "Semantic search as inference : applications in health informatics." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/71385/1/Bevan_Koopman_Thesis.pdf.

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This thesis developed new search engine models that elicit the meaning behind the words found in documents and queries, rather than simply matching keywords. These new models were applied to searching medical records: an area where search is particularly challenging yet can have significant benefits to our society.
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Lin, Yu-Kai. "Health Analytics and Predictive Modeling: Four Essays on Health Informatics." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/555987.

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There is a marked trend of using information technologies to improve healthcare. Among all the health IT, electronic health record (EHR) systems hold great promises as they modernize the paradigm and practice of care provision. However, empirical studies in the literature found mixed evidence on whether EHRs improve quality of care. I posit two explanations for the mixed evidence. First, most prior studies failed to account for system use and only focused on EHR purchase or adoption. Second, most existing EHR systems provide inadequate clinical decision support and hence, fail to reveal the full potential of digital health. In this dissertation I address two broad research questions: a) Does meaningful use of EHRs improve quality of care? and b) How do we advance clinical decision making through innovative computational techniques of healthcare analytics? To these ends, the dissertation comprises four essays. The first essay examines whether meaningful use of EHRs improve quality of care through a natural experiment. I found that meaningful use significantly improve quality of care, and this effect is greater in historically disadvantaged hospitals such as small, non-teaching, or rural hospitals. These empirical findings present salient practical and policy implications about the role of health IT. On the other hand, in the other three essays I work with real-world EHR data sets and propose healthcare analytics frameworks and methods to better utilize clinical text (Essay II), integrate clinical guidelines and EHR data for risk prediction (Essay III), and develop a principled approach for multifaceted risk profiling (Essay IV). Models, frameworks, and design principles proposed in these essays advance not only health IT research, but also more broadly contribute to business analytics, design science, and predictive modeling research.
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Hägglund, Maria. "Sharing is Caring : Integrating Health Information Systems to Support Patient-Centred Shared Homecare." Doctoral thesis, Uppsala universitet, Institutionen för medicinska vetenskaper, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-9527.

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In the light of an ageing society with shrinking economic resources, deinstitutionalization of elderly care is a general trend. As a result, homecare is increasing, and increasingly shared between different health and social care organizations. To provide a holistic overview about the patient care process, i.e. to be patient-centred, shared homecare needs to be integrated. This requires improved support for information sharing and cooperation between different actors, such as care professionals, patients and their relatives. The research objectives of this thesis are therefore to study information and communication needs for patient-centered shared homecare, to explore how integrated information and communication technology (ICT) can support information sharing, and to analyze how current standards for continuity of care and semantic interoperability meet requirements of patient-centered shared homecare. An action research approach, characterized by an iterative cycle, an emphasis on change and close collaboration with practitioners, patients and their relatives, was used. Studying one specific homecare setting closely, intersection points between involved actors and specific needs for information sharing were identified and described as shared information objects. An integration architecture making shared information objects available through integration of existing systems was designed and implemented. Mobile virtual health record (VHR) applications thereby enable a seamless flow of information between involved actors. These applications were tested and validated in the OLD@HOME-project. Moreover, the underlying information model for a shared care plan was mapped against current standards. Some important discrepancies were identified between these results and current standards for continuity of care, stressing the importance of evaluating standardized models against requirements of evolving healthcare contexts. In conclusion, this thesis gives important insights into the needs and requirements of shared homecare, enabling a shift towards patient-centered homecare through mobile access to aggregated information from current feeder systems and documentation at the point of need.
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Houston, Andrea Lynn 1954. "Knowledge integration for medical informatics: An experiment on a cancer information system." Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/288868.

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This research investigated the question of whether automatic or system-generated information classification methods can help humans better manage information. A series of four experiments were conducted; they investigated the usability (i.e., usefulness) of two automatic approaches to information classification, the concept space approach and a Kohonen-based SOM approach in the context of information retrieval. The concept space approach was evaluated in three different domains: Electronic Brainstorming (EBS) sessions, the Internet, and medical literature (the CancerLit collection). The Kohonen-based SOM approach was evaluated in the Internet and medical literature (CancerLit) domains only. In each case, the approach under investigation was compared with existing systems in order to demonstrate performance viability. The basic premise that information management, in particular information retrieval, can be successfully supported by system-based information classification techniques and that humans would find such techniques viable and useful was supported by the experiments. The concept space approach was more successful than the Kohonen-based SOM approach. After modifications to the algorithms based on user feedback from the EBS experiments had been made, users found the concept space approach results to be comparable (in the Internet study) or superior (in the CancerLit study) to existing information classification systems. The key future enhancement will be incorporation of better ways to identify document descriptors through syntactic and semantic front-end processing. The Kohonen-based SOM approach was considered difficult to use in all but one specialized case (the dynamic SOM created as part of the CancerLit prototype). This can probably be attributed to the fact that its associative organization does not match with the standard mental models (hierarchical and alphabetic) for information classification.
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Takahashi, Yoshimitsu. "Usefulness of network analysis in health informatics: Application to public health issues." 京都大学 (Kyoto University), 2010. http://hdl.handle.net/2433/97938.

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Nikopoulou-Smyrni, Panagiota. "A model of clinical reasoning in health informatics." Thesis, Keele University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.401075.

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Katule, Ntwa. "Utilization of personal health informatics through intermediary users." Doctoral thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29358.

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Personal informatics are important tools in health self-management as they support individuals to quantify and self-reflect on their lifestyle. Human-computer interaction researchers have devoted resources on studying how to design such tools. Various motivational strategies have been explored for their capabilities in improving user engagement. However, such strategies are developed with an assumption that the targeted consumer of information is the one directly manipulating user interfaces of the system that has information. This may not always be the case for users in developing regions. As a result, such systems may not scale well in contexts where a targeted consumer (beneficiary) may use technology through the facilitation of another person (intermediary) whom is responsible for manipulating user interfaces, because such facilitators are not recognized as part of the system, hence motivational strategies don't cater for them. In order to uncover design implications for intermediated technology use in the context of personal health informatics (PHI), the researcher started with the theoretical framing of the work followed by a contextual enquiry which led to development of mobile applications' prototypes for tracking nutrition and physical activity. Evaluation of the prototypes revealed that a familial relationship is a prerequisite for such an intervention. The most promising combination involves family members, possibly a child and a parent working together. The study used self-determination theory to understand how a collaborative gamified system can increase engagement. The result revealed that gamification as the source of a significant increase in perceived competence in intermediary users whom also tended to consider themselves as co-owners of the interaction experience. Therefore, gamification was found to be a catalyst for increasing collaboration between an intermediary and beneficiary user of technology, provided that the two users that formed a pair had a prior social relationship. In the absence of gamification, intermediary users tended to be less engaged in the intervention. The study highlights both the positive and negative aspects of gamification in promoting collaboration in intermediated use and its general implications in health settings. Design considerations required in order to improve the overall user experience of both users involved are proposed. In general, this work contributes to both theory and empirical validation of factors for, supporting proximate-enabled intermediated use of personal health informatics.
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Richards, Janise Elaine. "Public health informatics : a consensus on core competencies /." Digital version accessible at:, 2000. http://wwwlib.umi.com/cr/utexas/main.

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Books on the topic "Health informatics"

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Volpe, Salvatore. Health Informatics. New York: Productivity Press, 2022. http://dx.doi.org/10.4324/9780429423109.

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Matsushita, Hironobu, ed. Health Informatics. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-3781-3.

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Paul, Ray J., Sarmad Alshawi, and Tillal Eldabi. Health informatics. Bradford, England: Emerald Group Publishing, 2003.

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Smith, Catherine Arnott, and Alla Keselman. Consumer Health Informatics. First edition. | Boca Raton : CRC Press, 2021. | Series: Chapman & Hall/CRC healthcare informatics series: Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9780429442377.

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Tenenbaum, Jessica D., and Piper A. Ranallo, eds. Mental Health Informatics. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70558-9.

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Lewis, Deborah, Gunther Eysenbach, Rita Kukafka, P. Zoë Stavri, and Holly B. Jimison, eds. Consumer Health Informatics. New York, NY: Springer New York, 2005. http://dx.doi.org/10.1007/0-387-27652-1.

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Lech, Margaret, Insu Song, Peter Yellowlees, and Joachim Diederich, eds. Mental Health Informatics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-38550-6.

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Wetter, Thomas. Consumer Health Informatics. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-19590-2.

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Hsueh, Pei-Yun Sabrina, Thomas Wetter, and Xinxin Zhu, eds. Personal Health Informatics. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07696-1.

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Lubotsky, Levin Bruce, ed. Mental health informatics. New York: Oxford University Press, 2013.

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Book chapters on the topic "Health informatics"

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Magnuson, J. A., and Paul C. Fu. "Public Health Informatics and Health Information Exchange." In Health Informatics, 429–48. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4237-9_22.

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Hersh, William R. "Informatics for the Health Information Technology Workforce." In Health Informatics, 93–107. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4078-8_7.

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Yasnoff, William A., Patrick W. O'Carroll, and Andrew Friede. "Public Health Informatics and the Health Information Infrastructure." In Health Informatics, 537–63. New York, NY: Springer New York, 2006. http://dx.doi.org/10.1007/0-387-36278-9_15.

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West, David W. "Health Informatics." In Medical Quality Management, 91–120. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48080-6_5.

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Baykal, Nazife. "Health Informatics." In Advances in Experimental Medicine and Biology, 337–58. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-0-306-48584-8_26.

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Keen, Adam, and Neil Hosker. "Health Informatics." In Foundations of Nursing Practice, 440–65. London: Macmillan Education UK, 2011. http://dx.doi.org/10.1007/978-0-230-34457-0_19.

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Butler-Henderson, Kerryn. "Health Informatics." In Encyclopedia of Gerontology and Population Aging, 1–3. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69892-2_447-1.

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Imhoff, M. "Health Informatics." In Evaluating Critical Care, 255–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56719-3_18.

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Parry, David. "Health Informatics." In Springer Handbook of Bio-/Neuroinformatics, 555–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-30574-0_34.

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Tsafnat, Guy. "Health Informatics." In Encyclopedia of Systems Biology, 880. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_626.

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Conference papers on the topic "Health informatics"

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"Health informatics." In Proceedings of UK Radiological Conference 2015. The British Institute of Radiology, 2015. http://dx.doi.org/10.1259/conf-pukrc.2015.health-info.

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"Health Informatics." In Proceedings of UK Radiological Conference 2016. The British Institute of Radiology, 2016. http://dx.doi.org/10.1259/conf-pukrc.2016.health-info.

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Ossebaard, Hans C. "One health informatics." In the 23rd International Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2567948.2579274.

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Malin, Bradley. "Session details: Information management in health informatics." In IHI '10: ACM International Health Informatics Symposium. New York, NY, USA: ACM, 2010. http://dx.doi.org/10.1145/3258365.

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"TICE-Healthy - A Dynamic Extensible Personal Health Record." In International Conference on Health Informatics. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004244903480351.

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Bednarcikova, L., M. Petrik, T. Toth, M. Michalikova, S. Krajnak, and J. Zivcak. "Informatics in Health Care." In 2008 IEEE International Conference on Computational Cybernetics (ICCC). IEEE, 2008. http://dx.doi.org/10.1109/icccyb.2008.4721422.

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Shepherd, Michael. "Challenges in Health Informatics." In 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07). IEEE, 2007. http://dx.doi.org/10.1109/hicss.2007.123.

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"CLINICAL AND TRANSLATIONAL SCIENCE INFORMATICS - Translating Information to Transform Health Care." In International Conference on Health Informatics. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0001431701350141.

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"Healthcare information systems and informatics [advertisement]." In 2017 International Rural and Elderly Health Informatics Conference (IREHI). IEEE, 2017. http://dx.doi.org/10.1109/ireehi.2017.8350472.

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"Paradigm Shifts in Health Informatics." In International Conference on Health Informatics. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004328102560262.

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Reports on the topic "Health informatics"

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Goldstein, Neal. Epidemiology Blog of Neal D. Goldstein, PhD, MBI. Neal D. Goldstein, 2023. http://dx.doi.org/10.17918/goldsteinepi.

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Abstract:
Musings on topics related to epidemiology, epidemiological methods, public and clinical health. Written by Neal D. Goldstein, PhD, MBI. Dr. Goldstein is an Associate Professor of Epidemiology at the Drexel University Dornsife School of Public Health. With a background in biomedical informatics, he focuses on computational approaches in complex data settings, especially electronic health records and disease surveillance, to understand infectious disease transmission. This has been demonstrated through his work with blood borne pathogens (HIV and hepatitis C), COVID-19, vaccine preventable diseases, and healthcare associated infections.
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Baird, Aaron, Corey Angst, and Eivor Oborn. Health Information Technology. MIS Quarterly, June 2018. http://dx.doi.org/10.25300/misq/2019/curations/06212018.

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Hersh, William, Annette Totten, Karen Eden, Beth Devine, Paul Gorman, Steve Kassakian, Susan S. Woods, Monica Daeges, Miranda Pappas, and Marian S. McDonagh. Health Information Exchange. Agency for Healthcare Research and Quality, December 2015. http://dx.doi.org/10.23970/ahrqepcerta220.

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Quilici, Alex. Health Information Infrastructure. Fort Belvoir, VA: Defense Technical Information Center, March 1997. http://dx.doi.org/10.21236/ada334963.

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Moore, Bradley, and Asara Clark. NVLAP Health Information Technology Testing. National Institute of Standards and Technology, November 2021. http://dx.doi.org/10.6028/nist.hb.150-31-2021.

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Damiano, Peter C., Ki Park, and Kristi Law. Health Information Technology use in Iowa Home Health Agencies. Iowa City, Iowa: University of Iowa Public Policy Center, November 2010. http://dx.doi.org/10.17077/oxub-0j1b.

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Rebitzer, James, Mari Rege, and Christopher Shepard. Influence, Information Overload, and Information Technology in Health Care. Cambridge, MA: National Bureau of Economic Research, July 2008. http://dx.doi.org/10.3386/w14159.

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Mager, Astrid, ed. Mediated health: sociotechnical practices of providing and using online health information. Vienna: self, 2014. http://dx.doi.org/10.1553/ita-pa-am-09-1.

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Shekelle, Paul G., Sally C. Morton, and Emmett B. Keeler. Costs and Benefits of Health Information Technology. Agency for Healthcare Research and Quality, April 2006. http://dx.doi.org/10.23970/ahrqepcerta132.

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Bellin, Eran, and Susan M. McCroskey. Applied Health Information Technologies - Clinical Looking Glass. Fort Belvoir, VA: Defense Technical Information Center, January 2013. http://dx.doi.org/10.21236/ada581159.

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