Impact of Health Information Exchange Adoption on Referral Patterns

Saeede Eftekhari (), Niam Yaraghi (), Ram D. Gopal () and Ram Ramesh ()
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Saeede Eftekhari: A. B. Freeman School of Business, Tulane University, New Orleans, Louisiana 70118
Niam Yaraghi: Miami Herbert Business School, University of Miami, Coral Gables, Florida 33146; Governance Studies, The Brookings Institution, Washington, District of Columbia 20036
Ram D. Gopal: Warwick Business School, The University of Warwick, Coventry CV4 7AL, United Kingdom
Ram Ramesh: School of Management, State University of New York at Buffalo, Buffalo, New York 14260

Management Science, 2023, vol. 69, issue 3, 1615-1638

Abstract: Efforts to promote Health Information Exchanges (HIEs) on a nationwide scale are beset with major challenges, and one of them is its meaningful use for both physicians and patients. Referrals potentially provide a context for the meaningful use of HIE, and we are yet to understand how HIEs affect referrals. This research studies the impact of HIE on referral patterns. We establish that participation in an HIE network increases the referrals sent to and received from other HIE participants. We investigate this relationship using both econometric and network-analytic methods. Whereas the econometric analysis focuses on the underlying associations between HIE adoption and referral patterns, the network analysis addresses the transformation process by which HIE adoption and referrals coevolve over time. This study has significant implications for healthcare policy making, development of innovative HIE business models, and management of healthcare organizations.

Keywords: health information exchanges; referrals; HIE adoption; referral decision making (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:69:y:2023:i:3:p:1615-1638

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