Literature DB >> 29860502

Hospitals' adoption of intra-system information exchange is negatively associated with inter-system information exchange.

Joshua R Vest1,2, Kosali Simon3.   

Abstract

Introduction: U.S. policy on interoperable HIT has focused on increasing inter-system (ie, between different organizations) health information exchange. However, interoperable HIT also supports the movement of information within the same organization (ie, intra-system exchange).
Methods: We examined the relationship between hospitals' intra- and inter-system information exchange capabilities among health system hospitals included in the 2010-2014 American Hospital Association's Annual Health Information Technology Survey. We described the factors associated with hospitals that adopted more intra-system than inter-system exchange capability, and explored the extent of new capability adoption among hospitals that reported neither intra- or inter-system information capabilities at baseline.
Results: The prevalence of exchange increased over time, but the adoption of inter-system information exchange was slower; when hospitals adopt information exchange, adoption of intra-system exchange was more common. On average during our study period, hospitals could share 4.6 types of information by intra-system exchange, but only 2.7 types of information by inter-system exchange. Controlling for other factors, hospitals exchanged more types of information in an intra-system manner than inter-system when the number of different inpatient EHR vendors in use in health system is larger.
Conclusion: Consistent with the U.S. goals for more widely accessible patient information, hospitals' ability to share information has increased over time. However, hospitals are prioritizing within-organizational information exchange over exchange between different organizations. If increasing inter-system exchanges is a desired goal, current market incentives and government policies may be insufficient to overcome hospitals' motivations for pursuing an intra-system-information-exchange-first strategy.

Entities:  

Mesh:

Year:  2018        PMID: 29860502      PMCID: PMC7646893          DOI: 10.1093/jamia/ocy058

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  42 in total

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Authors:  David J Brailer
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Authors:  Kevin Heubusch
Journal:  J AHIMA       Date:  2006-01

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Journal:  J Med Syst       Date:  2009-12-02       Impact factor: 4.460

9.  Differing Strategies to Meet Information-Sharing Needs: Publicly Supported Community Health Information Exchanges Versus Health Systems' Enterprise Health Information Exchanges.

Authors:  Joshua R Vest; Bita A Kash
Journal:  Milbank Q       Date:  2016-03       Impact factor: 4.911

10.  Falling short: how state laws can address health information exchange barriers and enablers.

Authors:  Cason D Schmit; Sarah A Wetter; Bita A Kash
Journal:  J Am Med Inform Assoc       Date:  2018-06-01       Impact factor: 4.497

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  6 in total

1.  Health systems' use of enterprise health information exchange vs single electronic health record vendor environments and unplanned readmissions.

Authors:  Joshua R Vest; Mark Aaron Unruh; Seth Freedman; Kosali Simon
Journal:  J Am Med Inform Assoc       Date:  2019-10-01       Impact factor: 4.497

2.  Fold-stratified cross-validation for unbiased and privacy-preserving federated learning.

Authors:  Romain Bey; Romain Goussault; François Grolleau; Mehdi Benchoufi; Raphaël Porcher
Journal:  J Am Med Inform Assoc       Date:  2020-08-01       Impact factor: 4.497

3.  Sharing information electronically with other hospitals is associated with increased sharing of patients.

Authors:  Jordan Everson; Julia Adler-Milstein
Journal:  Health Serv Res       Date:  2019-11-12       Impact factor: 3.402

4.  Mind the gap: the potential of alternative health information exchange.

Authors:  Jordan Everson; Dori A Cross
Journal:  Am J Manag Care       Date:  2019-01       Impact factor: 2.229

5.  Level of agreement on health information technology adoption and use in survey data: a mixed-methods analysis of ambulatory clinics in 1 US state.

Authors:  Robert S Rudin; Yunfeng Shi; Shira H Fischer; Paul Shekelle; Alejandro Amill-Rosario; Bethany Shaw; M Susan Ridgely; Cheryl L Damberg
Journal:  JAMIA Open       Date:  2019-03-07

6.  Practice and market factors associated with provider volume of health information exchange.

Authors:  Nate C Apathy; Joshua R Vest; Julia Adler-Milstein; Justin Blackburn; Brian E Dixon; Christopher A Harle
Journal:  J Am Med Inform Assoc       Date:  2021-07-14       Impact factor: 4.497

  6 in total

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