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PUTTING ELECTRONIC HEALTH RECORD DATA TO MEANINGFUL USE Authors: Adam Baus MA, MPH, West Virginia University School of Public Health, Office of Health Services Research; Cecil Pollard MA, West Virginia University School of Public Health, Office of Health Services Research; Gina Wood RD, LD, West Virginia Bureau for Public Health, Diabetes Prevention and Control Program; Betsy Thornton RN, BSN, West Virginia Bureau for Public Health, Cardiovascular Health Program Background Results Type 2 diabetes is largely preventable and its complications, including coronary heart disease, stroke, and peripheral arterial disease, can be 1-3 delayed through early detection and treatment . However, community screenings for chronic conditions are often cost-prohibitive and fail to 4 link positively identified individuals to follow-up care . Preliminary analysis indicates that the procedures and analysis tools successfully identify patients at-risk for pre-diabetes (Table 1). Among the 94,283 established patients without a documented diagnosis of diabetes or pre-diabetes, 10,673 (11.3%) meet one or more inclusion criteria for being at-risk for pre-diabetes. Analysis also indicates that these procedures can identify patients at-risk for or undiagnosed with hypertension (Table 2). Methods The WV Bureau for Public Health and WVU Office of Health Services Research train and support WV primary care centers in using clinical data to drive practice and policy change for chronic disease quality of care improvement. This has created a network of clinics and data infrastructure capable of repurposing electronic health record (EHR) data into a standardized chronic disease registry to identify persons atrisk and in need of screening or intervention. Partnering primary care centers (48) Sites sharing de-identified data (32) DM Intervention Sites (16) CVH Intervention Sites (3) Partner sites Discussion Primary care centers can repurpose EHR data into a searchable patient registry to efficiently and systematically identify patients in need of screening or intervention and increase the quality of care for patients with hypertension and diabetes. This addresses a critical barrier in improving patient care through enhanced data management and use. The overall impact of this clinical quality project can bolster use of EHR data for quality improvement in primary care, and increase opportunity for successful chronic disease outcomes research, surveillance, and program planning by academic and public-health institutions. Learn more at: publichealth.hsc.wvu.edu/ohsr