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First published June 7, 2004 as JAMIA PrePrint; doi:10.1197/jamia.M1498
Journal of the American Medical Informatics Association 2004;11(5):351-357
© 2004 American Medical Informatics Association

A more recent version of this article appeared on September 1, 2004
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Submitted on November 5, 2003
Accepted on April 4, 2004

Use of Electronic Medical Record Data for Quality Improvement in Schizophrenia Treatment

Richard R. Owen MD1*, Carol R. Thrush MA1, Dale Cannon PhD2, Kevin L. Sloan MD3, Geoff Curran PhD1, Teresa Hudson PharmD1, Mark Austen MS1, and Mona Ritchie LCSW1

Affiliation of the authors: 1 Central Arkansas Veterans Healthcare System, Health Services Research and Development Service, Centers for Mental Healthcare and Outcomes Research, North Little Rock, AR; University of Arkansas for Medical Sciences, College of Medicine, Department of Psychiatry and Behavioral Sciences, Division of Health Services, Little Rock, AR; 2 VA Salt Lake Health Care System, Salt Lake City, UT; Department of Psychiatry, University of Utah, Salt Lake City, UT; 3 VA Puget Sound Health Care System, Seattle, WA; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA

* To whom correspondence should be addressed.

An understanding of the strengths and limitations of automated data is valuable when using administrative or clinical databases to monitor and improve the quality of health care. This study discusses the feasibility and validity of using data electronically extracted from the Veterans Health Administration (VHA) computer database (VISTA) to monitor guideline performance for inpatient and outpatient treatment of schizophrenia. The authors also discuss preliminary results and their experience in applying these methods to monitor antipsychotic prescribing using the South Central VA Healthcare Network (SCVAHCN) Data Warehouse as a tool for quality improvement.






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