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Lin CP, Stephens KA, Baldwin LM, et al. Developing Governance for Federated Community-based EHR Data Sharing. AMIA Jt Summits Transl Sci Proc. 2014;2014:71-6
Lin, C. P., Stephens, K. A., Baldwin, L. M., Keppel, G. A., Whitener, R. J., Echo-Hawk, A., & Korngiebel, D. (2014). Developing Governance for Federated Community-based EHR Data Sharing. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 201471-6.
Lin, Ching-Ping, et al. "Developing Governance for Federated Community-based EHR Data Sharing." AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science vol. 2014 (2014): 71-6.
Lin CP, Stephens KA, Baldwin LM, Keppel GA, Whitener RJ, Echo-Hawk A, Korngiebel D. Developing Governance for Federated Community-based EHR Data Sharing. AMIA Jt Summits Transl Sci Proc. 2014 Apr 07;2014:71-6. eCollection 2014. PMID: 25717404; PMCID: PMC4333692.
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AMIA Jt Summits Transl Sci Proc. 2014 Apr 07;2014:71-6. eCollection 2014.

Developing Governance for Federated Community-based EHR Data Sharing.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

Ching-Ping Lin, Kari A Stephens, Laura-Mae Baldwin, Gina A Keppel, Ron J Whitener, Abigail Echo-Hawk, Diane Korngiebel

Affiliations

  1. Institute of Translational Health Sciences, University of Washington, Seattle, WA ; Global REACH, University of Michigan, Ann Arbor, MI.
  2. Institute of Translational Health Sciences, University of Washington, Seattle, WA.

PMID: 25717404 PMCID: PMC4333692

Abstract

Bi-directional translational pathways between scientific discoveries and primary care are crucial for improving individual patient care and population health. The Data QUEST pilot project is a program supporting data sharing amongst community based primary care practices and is built on a technical infrastructure to share electronic health record data. We developed a set of governance requirements from interviewing and collaborating with partner organizations. Recommendations from our partner organizations included: 1) partner organizations can physically terminate the link to the data sharing network and only approved data exits the local site; 2) partner organizations must approve or reject each query; 3) partner organizations and researchers must respect local processes, resource restrictions, and infrastructures; and 4) partner organizations can be seamlessly added and removed from any individual data sharing query or the entire network.

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