The feasibility of using automated data to assess guideline-concordant care for schizophrenia

Abstract

This study examines the feasibility of using automated computer data versus written medical record data to identify patients receiving guideline concordant treatment for schizophrenia. Central elements of care derived from published practice guidelines for schizophrenia were examined for a convenience sample of 28 patients who received acute inpatient treatment. The results showed that automated data were superior to medical record data for identifying some elements of guideline-concordant treatment. Not only were the elements of care examined in this study clinically significant and within the current capabilities of the existing computer information system, but they are also likely related to patient outcomes. Implications for clinical care, future research, and health care quality improvement efforts are discussed.