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The impact of health information exchanges on physicians’ centrality in the referral network

  • Saeede Eftekhari
  • , Ram Gopal
  • , Niam Yaraghi
  • , Ram Ramesh
  • SUNY Buffalo
  • University of Connecticut
  • The Brookings Institution

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The objective of this study is to identify the value that Health Information Exchanges (HIE) implemented in the U.S. healthcare system brings for physicians in referral processes. Mainly, we argue that a primary care physician who has adopted HIE is connected with more specialists in the referral network than another physician who has not adopted HIE. This enables her to make a better decision in a referral process with regards to selecting an appropriate specialist. Second, we argue that HIE brings a competitive advantage for specialists; a specialist who has adopted HIE becomes more popular in the referral network than other specialists. We further argue that a primary care physician who has adopted HIE tends to refer to the specialists who have also adopted HIE. This study provides an insight on the benefits of HIE to physicians in referral processes which in turn encourage more physicians to adopt it.

Original languageEnglish
Title of host publicationAMCIS 2017 - America's Conference on Information Systems
Subtitle of host publicationA Tradition of Innovation
PublisherAmericas Conference on Information Systems
ISBN (Electronic)9780996683142
StatePublished - 2017
EventAmerica�s Conference on Information Systems: A Tradition of Innovation, AMCIS 2017 - Boston, United States
Duration: Aug 10 2017Aug 12 2017

Publication series

NameAMCIS 2017 - America's Conference on Information Systems: A Tradition of Innovation
Volume2017-August

Conference

ConferenceAmerica�s Conference on Information Systems: A Tradition of Innovation, AMCIS 2017
Country/TerritoryUnited States
CityBoston
Period08/10/1708/12/17

Keywords

  • Health Information Exchanges
  • Physicians’ Referral Network
  • Social Network Analysis

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