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Multiple healthcare initiatives and legislation at both the federal and state levels have mandated Health Information Exchange (HIE) systems to address this problem. This study aims to assess the extent to which HIE could reduce these repetitions, using data from Centers for Medicare 8 Medicaid Services and a regional HIE organization. A 2-Stage Least Square model is developed to predict the impact of HIE on repetitions of two classes of procedures: diagnostic and therapeutic. The first stage is a predictive analytic model that estimates the duration of tenure of each HIE member-practice. Based on these estimates, the second stage predicts the effect of providers\u2019 HIE tenure on their repetition of medical services. The model incorporates moderating effects of a federal quality assurance program and the complexity of medical procedures with a set of control variables. Our analyses show that a practice's tenure with HIE significantly lowers the repetition of therapeutic medical procedures, while diagnostic procedures are not impacted. The medical reasons for the effects observed in each class of procedures are discussed. The results will inform healthcare policymakers and provide insights on the business models of HIE platforms.<\/jats:p>","DOI":"10.1145\/3057272","type":"journal-article","created":{"date-parts":[[2017,4,28]],"date-time":"2017-04-28T12:38:23Z","timestamp":1493383103000},"page":"1-27","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["Do Health Information Exchanges Deter Repetition of Medical Services?"],"prefix":"10.1145","volume":"8","author":[{"given":"Saeede","family":"Eftekhari","sequence":"first","affiliation":[{"name":"State University of New York at Buffalo, Buffalo, NY"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Niam","family":"Yaraghi","sequence":"additional","affiliation":[{"name":"The Brookings Institution, Washington DC"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ranjit","family":"Singh","sequence":"additional","affiliation":[{"name":"State University of New York at Buffalo, Buffalo, NY"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ram D.","family":"Gopal","sequence":"additional","affiliation":[{"name":"University of Connecticut, Storrs, CT"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Ramesh","sequence":"additional","affiliation":[{"name":"State University of New York at Buffalo, Buffalo, NY"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,4,27]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"When Can You Safely Ignore Multicollinearity?","author":"P.","year":"2012"},{"key":"e_1_2_1_2_1","volume-title":"Physician Quality Reporting System. 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