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First published March 28, 2003 as JAMIA PrePrint; doi:10.1197/jamia.M1252
Journal of the American Medical Informatics Association 2003;10(4):389-398
© 2003 American Medical Informatics Association

A more recent version of this article appeared on July 1, 2003
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Submitted on September 18, 2002
Accepted on March 4, 2003

Structure, Functions, and Activities of a Research Support Informatics Section

Michael D. Murray PharmD, MPH1*, Faye E. Smith MA2, Joanne Fox2, Evgenia Y. Teal MA2, Joseph G. Kesterson MA2, Troy A. Stiffler BS2, Roberta J. Ambuehl BA2, Jane Wang PhD2, Maria Dibble2, Dennis O. Benge MBA2, Leonard J. Betley2, William M. Tierney MD3, and Clement J. McDonald MD3

Affiliation of the authors: 1 Regenstrief Institute for Health Care, Indianapolis, IN, Purdue University School of Pharmacy, Indianapolis, IN; 2 Regenstrief Institute for Health Care, Indianapolis, IN; 3 Regenstrief Institute for Health Care, Indianapolis, IN, Indiana University School of Medicine, Indianapolis, IN

* To whom correspondence should be addressed.

The authors describe a research group that supports the needs of investigators seeking data from an electronic medical record system. Since its creation in 1972, the Regenstrief Medical Records System has captured and stored more than 350 million discrete coded observations on two million patients. This repository has become a central data source for prospective and retrospective research. It is accessed by six data analysts - working closely with the Institutional Review Board - who provide investigators with timely and accurate data while protecting patient and provider privacy and confidentiality. From January 1, 1999 to July 31, 2002, data analysts tracked their activities involving 47,559 hours of work predominantly for physicians (54%). While data retrieval (36%) and analysis (25%) were primary activities, data analysts also actively collaborated with researchers. Primary objectives of data provided to investigators were to address disease specific (35.4%) and drug related (12.2%) questions, support guideline implementation (13.1%), and probe various aspects of clinical epidemiology (5.7%). Outcomes of these endeavors included 117 grants (including $300,000 per year salary support for data analysts) and 139 papers in peer-review journals by investigators who rated the support provided by data analysts as extremely valuable.




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