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Transcript
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%