美国医院健康相关社会需求数据的互操作性。

IF 4.7 2区 医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Sahil Sandhu, Michael Liu, Laura M Gottlieb, A Jay Holmgren, Lisa S Rotenstein, Matthew S Pantell
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引用次数: 0

摘要

目的:衡量医院在健康相关社会需求(HRSN)数据互操作交换中的参与度。材料和方法:本研究结合了来自2022年美国医院协会(AHA)年度调查、AHA IT补充以及医疗保险和医疗补助服务中心影响文件的国家数据。多变量逻辑回归用于确定与接收外部组织HRSN数据相关的医院特征。结果:在2502家医院中,61.4%报告从外部来源电子接收HRSN数据,最常见的是来自卫生信息交换组织。参与责任医疗组织的医院或使用Epic或Cerner电子健康记录(EHRs)的以患者为中心的医疗之家和医院更有可能收到外部HRSN数据。相比之下,营利性医院和公立医院参与HRSN数据交换的可能性较小。讨论:医院所有权、参与基于价值的护理模式和EHR供应商能力是推进HRSN数据交换的重要驱动因素。结论:可能需要额外的政策和技术支持来增强HRSN数据的互操作性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interoperability of health-related social needs data at US hospitals.

Objective: To measure hospital engagement in interoperable exchange of health-related social needs (HRSN) data.

Materials and methods: This study combined national data from the 2022 American Hospital Association (AHA) Annual Survey, AHA IT Supplement, and the Centers for Medicare and Medicaid Services Impact File. Multivariable logistic regression was used to identify hospital characteristics associated with receiving HRSN data from external organizations.

Results: Of 2502 hospitals, 61.4% reported electronically receiving HRSN data from external sources, most commonly from health information exchange organizations. Hospitals participating in accountable care organizations or patient-centered medical homes and hospitals using Epic or Cerner electronic health records (EHRs) were more likely to receive external HRSN data. In contrast, for-profit hospitals and public hospitals were less likely to participate in HRSN data exchange.

Discussion: Hospital ownership, participation in value-based care models, and EHR vendor capabilities are important drivers in advancing HRSN data exchange.

Conclusion: Additional policy and technological support may be needed to enhance HRSN data interoperability.

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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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