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CLINICAL DATA PROVIDES INSIGHTS into patterns of care, patient clinical profiles and longitudinal health outcomes. Optum overcomes the traditional limitations of health care data by incorporating clinical data along with claims data. We integrate electronic health record (EHR) data from providers around the country and combine it with claims, prescription and practice management information to provide the most complete patient-level, de-identified data set. Our data includes medications, lab results, vital signs, physician notes, diagnoses, procedures, demographics, hospitalizations and outpatient encounters. We apply sophisticated techniques to mine, standardize and aggregate these data to generate a comprehensive, longitudinal view of patient care. The following charts show the kinds of insights this data can provide to providers, administrators and researchers on conditions such as diabetes. Treatment patterns by BMI profile (for select medications) Treatment analyses demonstrate how physicians are managing diabetes by clinical profile. 28% 19% 26% 33% 26% 18% Normal SFUs 25% 22% 33% 21% 7% Overweight 19% 33% 22% 21% 10% 17% Obese Insulin others Insulin basals 16% Morbidly Obese GLP1s Biguanides Diabetes patients with screening in past 12 months Pulling data from multiple sources within EHR data allows us to track provider performance and adherence to clinical standards over time. 42% 2+ A1C’s 60% 1+ LDL 88% 1+ BP Improvement in A1C from pre- to post-Rx The analysis below provides a deeper understanding of diabetes treatment and outcomes across a variety of patient and provider cohorts. Improvement in A1C from pre- to post-Rx Pulmonary -1.9 Geriatric Spec -1.8 Pediatrics -1.7 -1.6 -1.5 Family Medicine Med Level Internal Med Nephrology Endo Cardiology Clinical Nurse -1.4 -1.3 50% 60% 70% 80% 90% % of DM patients on costly diabetes medications 100%