The Challenge of Measuring Quality of Care From the Electronic Health Record
Authors:
- 29 May 2009
- journal article
- research article
- Published by Wolters Kluwer Health in American Journal of Medical Quality
- Vol. 24 (5) , 385-394
Abstract
The electronic health record (EHR) is seen by many as an ideal vehicle for measuring quality of health care and monitoring ongoing provider performance. It is anticipated that the availability of EHR-extracted data will allow quality assessment without the expensive and time-consuming process of medical record abstraction. A review of the data requirements for the indicators in the Quality Assessment Tools system suggests that only about a third of the indicators would be readily accessible from EHR data. Other factors involving complexity of required data elements, provider documentation habits, and EHR variability make the task of quality measurement more difficult than may be appreciated. Accurately identifying eligible cases for quality assessment and validly scoring those cases with EHR-extracted data will pose significant challenges but could potentially plummet the cost and therefore expand the use of quality assessment.Keywords
This publication has 37 references indexed in Scilit:
- Computerized Extraction of Information on the Quality of Diabetes Care from Free Text in Electronic Patient Records of General PractitionersJournal of the American Medical Informatics Association, 2007
- The Effect of a Quality Improvement Initiative on the Quality of Other Aspects of Health CareMedical Care, 2007
- Using Regular Expressions to Abstract Blood Pressure and Treatment Intensification Information from the Text of Physician NotesJournal of the American Medical Informatics Association, 2006
- Identifying barriers to the effective use of clinical reminders: Bootstrapping multiple methodsJournal of Biomedical Informatics, 2005
- Primary care physician time utilization before and after implementation of an electronic health record: A time-motion studyJournal of Biomedical Informatics, 2005
- Validation of a Discharge Summary Term Search Method to Detect Adverse EventsJournal of the American Medical Informatics Association, 2004
- Electronic Screening of Dictated Reports to Identify Patients with Do-Not-Resuscitate StatusJournal of the American Medical Informatics Association, 2004
- Electronically Screening Discharge Summaries for Adverse Medical EventsJournal of the American Medical Informatics Association, 2003
- Bridges to Excellence: A Program to Start Closing the Quality Chasm in HealthcareJournal for Healthcare Quality, 2003
- The Unintended Consequences of Measuring Quality on the Quality of Medical CareNew England Journal of Medicine, 1999