Information-blocking trends following regulatory action.

IF 4.7 2区 医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Jordan Everson, Daniel Healy
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引用次数: 0

Abstract

Objective: To describe the prevalence of and trends in practices that interfere with the exchange of patient health information (potential information blocking) 2 years after implementation of information-blocking regulations.

Materials and methods: Drawing from the American Hospital Association Information Technology (IT) Supplement and a national survey of health information organizations (HIOs), we described rates and methods of potential information blocking from these organizations' perspectives in 2023 and compared them to prior years.

Results: Twenty-seven percent of hospitals sometimes or often observed potential information blocking by any actor in 2023, down from 42% in 2021 and 33% in 2022. Thirty percent of HIOs routinely observed potential information blocking by health IT developers, down from 50% in 2015. 13% of HIOs routinely observed potential information blocking by hospitals and health systems, down from 25% in 2015. According to both hospitals and HIOs, the most prevalent method of potential information blocking by developers in 2023 was through price, while the most prevalent by healthcare providers/health systems was by focusing exchange on strategic affiliations. Few hospitals and HIOs that experienced potential information blocking said that they had reported it to the Department of Health and Human Services.

Discussion: Hospitals and HIOs perceived lower rates of potential information blocking in 2023 than in prior years indicating some impact of regulations addressing information blocking. However, both respondent types reported that substantial potential information blocking persisted in 2023 and negatively impacted the exchange of information.

Conclusion: While potential information-blocking practices have decreased, they have not been eliminated, indicating the value of continued and robust enforcement of information-blocking regulations.

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来源期刊
Journal of the American Medical Informatics Association
Journal of the American Medical Informatics Association 医学-计算机:跨学科应用
CiteScore
14.50
自引率
7.80%
发文量
230
审稿时长
3-8 weeks
期刊介绍: JAMIA is AMIA''s premier peer-reviewed journal for biomedical and health informatics. Covering the full spectrum of activities in the field, JAMIA includes informatics articles in the areas of clinical care, clinical research, translational science, implementation science, imaging, education, consumer health, public health, and policy. JAMIA''s articles describe innovative informatics research and systems that help to advance biomedical science and to promote health. Case reports, perspectives and reviews also help readers stay connected with the most important informatics developments in implementation, policy and education.
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