Literature DB >> 24246484

Health information exchange, system size and information silos.

Amalia R Miller1, Catherine Tucker2.   

Abstract

There are many technology platforms that bring benefits only when users share data. In healthcare, this is a key policy issue, because of the potential cost savings and quality improvements from 'big data' in the form of sharing electronic patient data across medical providers. Indeed, one criterion used for federal subsidies for healthcare information technology is whether the software has the capability to share data. We find empirically that larger hospital systems are more likely to exchange electronic patient information internally, but are less likely to exchange patient information externally with other hospitals. This pattern is driven by instances where there may be a commercial cost to sharing data with other hospitals. Our results suggest that the common strategy of using 'marquee' large users to kick-start a platform technology has an important drawback of potentially creating information silos. This suggests that federal subsidies for health data technologies based on 'meaningful use' criteria, that are based simply on the capability to share data rather than actual sharing of data, may be misplaced.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Healthcare IT; I1; K2; L5; Network externalities; O3; Technology policy

Mesh:

Year:  2013        PMID: 24246484     DOI: 10.1016/j.jhealeco.2013.10.004

Source DB:  PubMed          Journal:  J Health Econ        ISSN: 0167-6296            Impact factor:   3.883


  25 in total

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2.  Health Information Exchange Readiness for Demonstrating Return on Investment and Quality of Care.

Authors:  Anjum Khurshid; Mark L Diana; Rahul Jain
Journal:  Perspect Health Inf Manag       Date:  2015-11-01

3.  Horizontal and vertical integration's role in meaningful use attestation over time.

Authors:  Jordan Everson; Michael R Richards; Melinda B Buntin
Journal:  Health Serv Res       Date:  2019-07-17       Impact factor: 3.402

4.  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

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

Authors:  Joshua R Vest; Kosali Simon
Journal:  J Am Med Inform Assoc       Date:  2018-09-01       Impact factor: 4.497

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.  Big Data: Are Biomedical and Health Informatics Training Programs Ready? Contribution of the IMIA Working Group for Health and Medical Informatics Education.

Authors:  P Otero; W Hersh; A U Jai Ganesh
Journal:  Yearb Med Inform       Date:  2014-08-15

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.  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

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