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Implementation of a commercial federated network of electronic health record data to enable sponsor-initiated clinical trials at an academic medical center.

Authors :
Campion TR Jr
Sholle ET
Abedian S
Fuld X
McGregor R
Lewis AN
Gripp LT
Leonard JP
Cole CL
Source :
International journal of medical informatics [Int J Med Inform] 2024 Feb; Vol. 182, pp. 105322. Date of Electronic Publication: 2023 Dec 18.
Publication Year :
2024

Abstract

Background: A commercial federated network called TriNetX has connected electronic health record (EHR) data from academic medical centers (AMCs) with biopharmaceutical sponsors in a privacy-preserving manner to promote sponsor-initiated clinical trials. Little is known about how AMCs have implemented TriNetX to support clinical trials.<br />Findings: At our AMC over a six-year period, TriNetX integrated into existing institutional workflows enabled 402 requests for sponsor-initiated clinical trials, 14 % (n = 56) of which local investigators expressed interest in conducting. Although clinical trials administrators indicated TriNetX yielded unique study opportunities, measurement of impact of institutional participation in the network was challenging due to lack of a common trial identifier shared across TriNetX, sponsor, and our institution.<br />Conclusion: To the best of our knowledge, this study is among the first to describe integration of a federated network of EHR data into institutional workflows for sponsor-initiated clinical trials. This case report may inform efforts at other institutions.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2023 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1872-8243
Volume :
182
Database :
MEDLINE
Journal :
International journal of medical informatics
Publication Type :
Academic Journal
Accession number :
38128198
Full Text :
https://doi.org/10.1016/j.ijmedinf.2023.105322