The Impact of Health Information Sharing on Duplicate Testing

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The Impact of Health Information Sharing on Duplicate Testing

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Title: The Impact of Health Information Sharing on Duplicate Testing
Author(s):
Ayabakan, S.;
Bardhan, Indranil R.;
Zheng, Zhiqiang;
Kirksey, K.
Date Created: 2017-12
Item Type: article
Keywords: Show Keywords
Description: Includes an Appendix. Per publisher's policy, this item is under embargo until 2022-12-01.
Abstract: Recent healthcare reform has focused on reducing excessive waste in the U.S. healthcare system, with duplicate testing being one of the main culprits. We explore the factors associated with duplicate tests when patients utilize healthcare services from multiple providers, and yet information sharing across these providers is fragmented. We hypothesize that implementation of health information sharing technologies will reduce the duplication rate more for radiology tests compared to laboratory tests, especially when health information sharing technologies are implemented across disparate provider organizations. We utilize a unique panel data set consisting of 39,600 patient visits from 2005 to 2012, across outpatient clinics of 68 hospitals, to test our hypotheses. We apply a quasi-experimental approach to investigate the impact of health information sharing technologies on the duplicate testing rate. Our results indicate that usage of information sharing technologies across health organizations is associated with lower duplication rates, and the extent of reduction in duplicate tests is more pronounced among radiology tests compared to laboratory tests. Our results support the need for implementation of health information exchanges as a potential solution to reduce the incidence of duplicate tests.
Publisher: University of Minnesota
ISSN: 0276-7783
Persistent Link: http://hdl.handle.net/10735.1/5768
Bibliographic Citation: Ayabakan, S., I. Bardhan, Z. E. Zheng, and K. Kirksey. 2017. "The impact of health information sharing on duplicate testing." MIS Quarterly 41(4), p.1083-1103.
Terms of Use: ©2017 MIS Quarterly
Sponsors: This research was partially supported by the UT Health System grant #34056002.

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