Literature DB >> 28236178

Does participation in health information exchange improve hospital efficiency?

Daniel M Walker1.   

Abstract

The federal government allocated nearly $30 billion to spur the development of information technology infrastructure capable of supporting the exchange of interoperable clinical data, leading to growth in hospital participation in health information exchange (HIE) networks. HIEs have the potential to improve care coordination across healthcare providers, leading ultimately to increased productivity of health services for hospitals. However, the impact of HIE participation on hospital efficiency remains unclear. This dynamic prompts the question asked by this study: does HIE participation improve hospital efficiency. This study estimates the effect of HIE participation on efficiency using a national sample of 1017 hospitals from 2009 to 2012. Using a two-stage analytic design, efficiency indices were determined using the Malmquist algorithm and then regressed on a set of hospital characteristics. Results suggest that any participation in HIE can improve both technical efficiency change and total factor productivity (TFP). A second model examining total years of HIE participation shows a benefit of one and three years of participation on TFP. These results suggest that hospital investment in HIE participation may be a useful strategy to improve hospital operational performance, and that policy should continue to support increased participation and use of HIE. More research is needed to identify the exact mechanisms through which HIE participation can improve hospital efficiency.

Entities:  

Keywords:  Efficiency; Health information exchange; Health information technology; Hospital; Malmquist algorithm

Mesh:

Year:  2017        PMID: 28236178      PMCID: PMC5568978          DOI: 10.1007/s10729-017-9396-4

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  68 in total

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2.  Estimated financial savings associated with health information exchange and ambulatory care referral.

Authors:  Mark E Frisse; Rodney L Holmes
Journal:  J Biomed Inform       Date:  2007-08-31       Impact factor: 6.317

3.  The state of regional health information organizations: current activities and financing.

Authors:  Julia Adler-Milstein; Andrew P McAfee; David W Bates; Ashish K Jha
Journal:  Health Aff (Millwood)       Date:  2007-12-11       Impact factor: 6.301

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5.  U.S. hospital efficiency and adoption of health information technology.

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Review 6.  Getting from here to there: health IT needs for population health.

Authors:  Joshua R Vest; Christopher A Harle; Titus Schleyer; Brian E Dixon; Shaun J Grannis; Paul K Halverson; Nir Menachemi
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Authors:  Ajit Appari; M Eric Johnson; Denise L Anthony
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8.  A randomized, controlled trial of clinical information shared from another institution.

Authors:  J Marc Overhage; Paul R Dexter; Susan M Perkins; William H Cordell; John McGoff; Roland McGrath; Clement J McDonald
Journal:  Ann Emerg Med       Date:  2002-01       Impact factor: 5.721

9.  Does health information exchange reduce redundant imaging? Evidence from emergency departments.

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Authors:  Julia Adler-Milstein; Sunny C Lin; Ashish K Jha
Journal:  Health Aff (Millwood)       Date:  2016-07-01       Impact factor: 6.301

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