IHI Rochester 2022年医疗保健信息学研究报告:新冠肺炎后恢复。

IF 5.9 Q1 Computer Science Journal of Healthcare Informatics Research Pub Date : 2023-05-01 eCollection Date: 2023-06-01 DOI:10.1007/s41666-023-00126-5
Carlo Combi, Julio C Facelli, Peter Haddawy, John H Holmes, Sabine Koch, Hongfang Liu, Jochen Meyer, Mor Peleg, Giuseppe Pozzi, Gregor Stiglic, Pierangelo Veltri, Christopher C Yang
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引用次数: 0

摘要

2020年,新冠肺炎大流行以一种意想不到的方式在全球蔓延,并突然改变了许多生活问题,包括社交习惯、社会关系、教学模式等。在许多不同的医疗保健和医疗环境中也可以观察到这种变化。此外,新冠肺炎大流行对许多研究工作起到了压力测试的作用,并揭示了一些局限性,尤其是在研究结果对数百万人的社会和医疗习惯产生直接影响的情况下。因此,研究界被要求对已经采取的措施进行深入分析,并重新思考近期和远期的措施,以利用疫情带来的教训。在这个方向上,2022年6月9日至11日,一个由12名医疗信息学研究人员组成的小组在美国明尼苏达州罗切斯特市举行了会议。这次会议由医疗信息学国际研究所发起,梅奥诊所主办。会议的目标是根据新冠肺炎大流行病的变化和经验教训,讨论并提出下一个十年生物医学和健康信息学的研究议程。本文报告了讨论的主要议题和得出的结论。除了生物医学和健康信息学研究界之外,本文的目标读者是学术界、工业界和政府的所有利益相关者,他们可以从生物医学和健康信息化研究的新研究结果中受益。事实上,研究方向以及社会和政策影响是我们提出的研究议程的主要重点,分为三个层面:个人护理、医疗保健系统观和人口观。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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The IHI Rochester Report 2022 on Healthcare Informatics Research: Resuming After the CoViD-19.

In 2020, the CoViD-19 pandemic spread worldwide in an unexpected way and suddenly modified many life issues, including social habits, social relationships, teaching modalities, and more. Such changes were also observable in many different healthcare and medical contexts. Moreover, the CoViD-19 pandemic acted as a stress test for many research endeavors, and revealed some limitations, especially in contexts where research results had an immediate impact on the social and healthcare habits of millions of people. As a result, the research community is called to perform a deep analysis of the steps already taken, and to re-think steps for the near and far future to capitalize on the lessons learned due to the pandemic. In this direction, on June 09th-11th, 2022, a group of twelve healthcare informatics researchers met in Rochester, MN, USA. This meeting was initiated by the Institute for Healthcare Informatics-IHI, and hosted by the Mayo Clinic. The goal of the meeting was to discuss and propose a research agenda for biomedical and health informatics for the next decade, in light of the changes and the lessons learned from the CoViD-19 pandemic. This article reports the main topics discussed and the conclusions reached. The intended readers of this paper, besides the biomedical and health informatics research community, are all those stakeholders in academia, industry, and government, who could benefit from the new research findings in biomedical and health informatics research. Indeed, research directions and social and policy implications are the main focus of the research agenda we propose, according to three levels: the care of individuals, the healthcare system view, and the population view.

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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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