Information blocking remains prevalent at the start of 21st Century Cures Act: results from a survey of health information exchange organizations

Author:

Everson Jordan12,Patel Vaishali3,Adler-Milstein Julia4

Affiliation:

1. Department of Health Policy, Vanderbilt University School of Medicine, Nashville, Tennessee, USA

2. Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA

3. Data Analysis Branch, Office of the National Coordinator for Health Information Technology, Washington, DC, USA

4. Department of Medicine, UCSF School of Medicine, San Francisco, California, USA

Abstract

Abstract Objective Recent policy making aims to prevent health systems, lectronic health record (EHR) vendors, and others from blocking the electronic sharing of patient data necessary for clinical care. We sought to assess the prevalence of information blocking prior to enforcement of these rules. Materials and Methods We conducted a national survey of health information exchange organizations (HIEs) to measure the prevalence of information blocking behaviors observed by these third-party entities. Eighty-nine of 106 HIEs (84%) meeting the inclusion criteria responded. Results The majority (55%) of HIEs reported that EHR vendors at least sometimes engage in information blocking, while 30% of HIEs reported the same for health systems. The most common type of information blocking behavior EHR vendors engaged in was setting unreasonably high prices, which 42% of HIEs reported routinely observing. The most common type of information blocking behavior health systems engaged in was refusing to share information, which 14% of HIEs reported routinely observing. Reported levels of vendor information blocking was correlated with regional competition among vendors and information blocking was concentrated in some geographic regions. Discussion Our findings are consistent with early reports, revealing persistently high levels of information blocking and important variation by actor, type of behavior, and geography. These trends reflect the observations and experiences of HIEs and their potential biases. Nevertheless, these data serve as a baseline against which to measure the impact of new regulations and to inform policy makers about the most common types of information blocking behaviors. Conclusion Enforcement aimed at reducing information blocking should consider variation in prevalence and how to most effectively target efforts.

Funder

Agency for Healthcare Research and Quality

AHRQ

US Department of Health and Human Services

National Coordinator for Health IT

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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