Literature DB >> 22084896

Health information exchange among US hospitals.

Julia Adler-Milstein1, Catherine M DesRoches, Ashish K Jha.   

Abstract

OBJECTIVES: To determine the proportion of US hospitals engaged in health information exchange (HIE) with unaffiliated providers and to identify key hospital-level and market-level factors associated with participating in exchange. STUDY
DESIGN: Using the 2009 American Hospital Association Information Technology survey, supplemented by Dartmouth Atlas, Area Resource File, and other national data, we examined which hospitals participated in regional efforts to electronically exchange clinical data.
METHODS: We used logistic regression models to determine hospital-level characteristics and market-level characteristics associated with hospitals' likelihood of participating in HIE.
RESULTS: We found that 10.7% of US hospitals engaged in HIE with unaffiliated providers. In communities where exchange occurred, for-profit hospitals and those with a small market share were far less likely to engage in HIE than nonprofit hospitals or those with a larger market share. Hospitals in more concentrated markets were more likely to exchange and hospitals in markets with higher Medicare spending were less likely to exchange.
CONCLUSIONS: At the start of implementation of the Health Information Technology for Economic and Clinical Health (HITECH) Act, only a small minority of US hospitals electronically exchange clinical data with unaffiliated providers. Health information exchange is a key part of reforming the healthcare system, and factors related to competitiveness may be holding some providers back.

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Mesh:

Year:  2011        PMID: 22084896

Source DB:  PubMed          Journal:  Am J Manag Care        ISSN: 1088-0224            Impact factor:   2.229


  24 in total

1.  Adoption of clinical data exchange in community settings: a comparison of two approaches.

Authors:  Thomas R Campion; Joshua R Vest; Lisa M Kern; Rainu Kaushal
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

2.  Challenges, alternatives, and paths to sustainability for health information exchange efforts.

Authors:  Joshua R Vest; Thomas R Campion; Rainu Kaushal
Journal:  J Med Syst       Date:  2013-10-20       Impact factor: 4.460

3.  Complete Impact of Care Fragmentation on Readmissions Following Urgent Abdominal Operations.

Authors:  Yen-Yi Juo; Yas Sanaiha; Usah Khrucharoen; Areti Tillou; Erik Dutson; Peyman Benharash
Journal:  J Gastrointest Surg       Date:  2019-01-08       Impact factor: 3.452

4.  Does participation in health information exchange improve hospital efficiency?

Authors:  Daniel M Walker
Journal:  Health Care Manag Sci       Date:  2017-02-24

5.  Alternative payment models and hospital engagement in health information exchange.

Authors:  Sunny C Lin; John M Hollingsworth; Julia Adler-Milstein
Journal:  Am J Manag Care       Date:  2019-01-01       Impact factor: 2.229

6.  Variation in interoperability across clinical laboratories nationwide.

Authors:  Vaishali Patel; Lauren McNamara; Prashila Dullabh; Megan E Sawchuk; Matthew Swain
Journal:  Int J Med Inform       Date:  2017-09-20       Impact factor: 4.046

7.  Factors related to health information exchange participation and use.

Authors:  Valerie A Yeager; Daniel Walker; Evan Cole; Arthur M Mora; Mark L Diana
Journal:  J Med Syst       Date:  2014-06-24       Impact factor: 4.460

8.  A strategic gaming model for health information exchange markets.

Authors:  Diego A Martinez; Felipe Feijoo; Jose L Zayas-Castro; Scott Levin; Tapas K Das
Journal:  Health Care Manag Sci       Date:  2016-09-06

9.  Technology, Incentives, or Both? Factors Related to Level of Hospital Health Information Exchange.

Authors:  Sunny C Lin; Jordan Everson; Julia Adler-Milstein
Journal:  Health Serv Res       Date:  2018-02-28       Impact factor: 3.402

10.  Clinical Summarization Capabilities of Commercially-available and Internally-developed Electronic Health Records.

Authors:  Archana Laxmisan; Allison B McCoy; Adam Wright; Dean F Sittig
Journal:  Appl Clin Inform       Date:  2012-02-22       Impact factor: 2.342

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