支持健康专业反思实践的电子健康记录:数字健康中错失的机会。

IF 5.9 Q1 Computer Science
Anna Janssen, Judy Kay, Stella Talic, Martin Pusic, Robert J Birnbaum, Rodrigo Cavalcanti, Dragan Gasevic, Tim Shaw
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引用次数: 3

摘要

数字健康的一个基本组成部分涉及收集和利用电子健康数据来改善健康和福祉。收集这些数据的核心技术之一是电子健康记录(EHRs)。在这篇评论中,作者探讨了数字健康和数据驱动的反思实践之间的交集,包括概述了电子病历在医疗保健中支撑技术创新的作用。随后,他们认为电子病历是一个丰富但未得到充分利用的关于卫生专业人员和卫生保健团队绩效的信息来源,可以用来支持反思实践和行为改变。电子病历目前作为数据收集系统,而不是最终用户(如卫生专业人员和卫生保健组织)的数据参与和反思系统。应进一步考虑在设计电子病历和其他临床信息系统时支持卫生专业人员的反思实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Electronic Health Records That Support Health Professional Reflective Practice: a Missed Opportunity in Digital Health.

Electronic Health Records That Support Health Professional Reflective Practice: a Missed Opportunity in Digital Health.

A foundational component of digital health involves collecting and leveraging electronic health data to improve health and wellbeing. One of the central technologies for collecting these data are electronic health records (EHRs). In this commentary, the authors explore intersection between digital health and data-driven reflective practice that is described, including an overview of the role of EHRs underpinning technology innovation in healthcare. Subsequently, they argue that EHRs are a rich but under-utilised source of information on the performance of health professionals and healthcare teams that could be harnessed to support reflective practice and behaviour change. EHRs currently act as systems of data collection, not systems of data engagement and reflection by end users such as health professionals and healthcare organisations. Further consideration should be given to supporting reflective practice by health professionals in the design of EHRs and other clinical information systems.

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来源期刊
Journal of Healthcare Informatics Research
Journal of Healthcare Informatics Research Computer Science-Computer Science Applications
CiteScore
13.60
自引率
1.70%
发文量
12
期刊介绍: Journal of Healthcare Informatics Research serves as a publication venue for the innovative technical contributions highlighting analytics, systems, and human factors research in healthcare informatics.Journal of Healthcare Informatics Research is concerned with the application of computer science principles, information science principles, information technology, and communication technology to address problems in healthcare, and everyday wellness. Journal of Healthcare Informatics Research highlights the most cutting-edge technical contributions in computing-oriented healthcare informatics.  The journal covers three major tracks: (1) analytics—focuses on data analytics, knowledge discovery, predictive modeling; (2) systems—focuses on building healthcare informatics systems (e.g., architecture, framework, design, engineering, and application); (3) human factors—focuses on understanding users or context, interface design, health behavior, and user studies of healthcare informatics applications.   Topics include but are not limited to: ·         healthcare software architecture, framework, design, and engineering;·         electronic health records·         medical data mining·         predictive modeling·         medical information retrieval·         medical natural language processing·         healthcare information systems·         smart health and connected health·         social media analytics·         mobile healthcare·         medical signal processing·         human factors in healthcare·         usability studies in healthcare·         user-interface design for medical devices and healthcare software·         health service delivery·         health games·         security and privacy in healthcare·         medical recommender system·         healthcare workflow management·         disease profiling and personalized treatment·         visualization of medical data·         intelligent medical devices and sensors·         RFID solutions for healthcare·         healthcare decision analytics and support systems·         epidemiological surveillance systems and intervention modeling·         consumer and clinician health information needs, seeking, sharing, and use·         semantic Web, linked data, and ontology·         collaboration technologies for healthcare·         assistive and adaptive ubiquitous computing technologies·         statistics and quality of medical data·         healthcare delivery in developing countries·         health systems modeling and simulation·         computer-aided diagnosis
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