Measuring use of electronic health record functionality using system audit information.
Meaningful and efficient methods for measuring Electronic Health Record (EHR) adoption and functional usage patterns have recently become important for hospitals, clinics, and health care networks in the United State due to recent government initiatives to increase EHR use. To date, surveys have been the method of choice to measure EHR adoption. This paper describes another method for measuring EHR adoption which capitalizes on audit logs, which are often common components of modern EHRs. An Audit Data Mart is described which identified EHR functionality within 836 Departments, within 22 Hospitals and 170 clinics at Intermountain Healthcare, a large integrated delivery system. The Audit Data Mart successfully identified important and differing EHR functional usage patterns. These patterns were useful in strategic planning, tracking EHR implementations, and will likely be utilized to assist in documentation of "Meaningful Use" of EHR functionality.
Bowes
Watson A
WA
Department of Medical Informatics, Intermountain Healthcare and University of Utah Department of Biomedical Informatics, Salt Lake City, UT 84120, USA. Len.bowes@imail.org
D000555:Ambulatory Care Information Systems / Q000706:statistics & numerical data*; D001292:Attitude to Computers; D003133:Commission on Professional and Hospital Activities / Q000706:statistics & numerical data*; D003695:Delivery of Health Care; D057286:Electronic Health Records / Q000706:statistics & numerical data*; D019538:Health Care Surveys / Q000379:methods; D010818:Practice Patterns, Physicians' / Q000706:statistics & numerical data*; D014589:Utah; D014600:Utilization Review / Q000379:methods*