Use of Electronic Medical Record Data for Quality Improvement in Schizophrenia Treatment
Author(s) -
Richard R. Owen,
Carol R. Thrush,
Dale S. Can,
Kevin L. Sloan,
Geoff Curran,
Teresa J. Hudson,
Mark A. Austen,
Mona J. Ritchie
Publication year - 2004
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1197/jamia.m1498
Subject(s) - guideline , quality management , health care , medical record , medicine , quality (philosophy) , data warehouse , schizophrenia (object oriented programming) , medical emergency , electronic medical record , data quality , computer science , database , psychiatry , operations management , management system , philosophy , metric (unit) , epistemology , pathology , economics , radiology , economic growth
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom