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First published June 7, 2004 as JAMIA PrePrint; doi:10.1197/jamia.M1498
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J Am Med Inform Assoc. 2004;11:351-357. DOI 10.1197/jamia.M1498.
© 2004 American Medical Informatics Association

Research Paper

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

Richard R. Owen, MD, Carol R. Thrush, MA, Dale Cannon, PhD, Kevin L. Sloan, MD, Geoff Curran, PhD, Teresa Hudson, PharmD, Mark Austen, MS and Mona Ritchie, LCSW

Affiliations of the authors: Central Arkansas Veterans Healthcare System, Health Services Research and Development Service, Center for Mental Healthcare and Outcomes Research, North Little Rock, AR, and University of Arkansas for Medical Sciences, College of Medicine, Department of Psychiatry and Behavioral Sciences, Division of Health Services Research, Little Rock, AR (RRO, CRT, GC, TH, MA, MR); VA Salt Lake Health Care System, and the Department of Psychiatry, University of Utah, Salt Lake City, UT (DC); VA Puget Sound Health Care System and the University of Washington Department of Psychiatry and Behavioral Sciences, Seattle, WA (KLS).

Correspondence and reprints: Richard R. Owen, MD, Center for Mental Healthcare and Outcomes Research, VA Medical Center (152/NLR), 2200 Ft. Roots Drive, North Little Rock, AR 72114; e-mail: <owenrichardr{at}uams.edu>.

Received for publication: 11/05/03; accepted for publication: 04/04/04.

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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Copyright © 2004 by the American Medical Informatics Association.