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This report includes:
• Operational area sta;ng and salary information
• P&L summaries by organizational class
• Financial summaries by specialty
• Accounts receivable analysis
Data is delineated in a variety of ways:
• Health systems vs. private physician practices
• Group size and region
• Level of capitation
• Per physician FTE, per work RVU and
per square foot
The latest operations
and finance data for
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F Most patients with urine albumin-to-creatinine ratio measured also had eGFR measured, but the opposite is not true
(data not shown).
F Overall, 43% of patients had a urine albumin-to-creatinine
ratio measured, of which 98% also had an eGFR measured.
F Overall, 79% of patients had an eGFR measured, of which
53% also had a urine albumin-to-creatinine ratio.
Implications for Healthcare Systems: Overall, less than half
of patients with type 2 diabetes were screened for CKD and, in
some organizations, as many as 75% of patients did not receive
the appropriate screening tests, presenting a great opportunity
to improve the care for patients with type 2 diabetes. In addition to the variation in CKD screening rates observed across
organizations, the range of screening rates was even greater
within organizations, across individual sites of care. Healthcare
organizations should review their screening rates to:
F Identify gaps in care (i.e. patients who have not been appropriately screened for CKD).
F Identify best practices (e.g. a site of care or care team with
the highest screening rate) in order to learn from those who
have already managed to achieve higher screening rates at
your own organization.
FDisseminate what you learn across your organization, especially for sites of care with lower screening rates.
AMGA Analytics Team who contributed to this study: Nikita
Stempniewicz, M.Sc., and Elizabeth Ciemins, Ph.D., M.P.H., M.A.
Data Source: The study used longitudinal electronic health record (EHR) data from 21 U.S.
healthcare organizations who pool their EHR data as part of a national learning collaborative.
All organizations in the collaborative use an Optum population health management and risk
analytics platform which extracts data for multiple sources, cleans, normalizes and validates
it making it possible to conduct accurate lateral analysis and comparisons. The Optum clinical
database comprises longitudinal ambulatory EHR data from 106 million patients treated
by 84 U. S. healthcare organizations. The longitudinal patient records are de-identified and
become part of one of the largest integrated data warehouses in the U.S., also managed by
Optum. Data represent ~15% of AMGA member organizations and 25% of patients seen by all
AMGA members or approximately 25 million patient lives.
1. Centers for Disease Control and Prevention. 2018. Diabetes Quick
Facts. Accessed February 4, 2019 at cdc.gov/diabetes/basics/
2. American Diabetes Association. 2018. Standards of Care in
Diabetes, 2018. Diabetes Care, 41(Suppl. 1): 1–150.
4. N. Stempniewicz, J.K. Cuddeback, C.R. Rattelman, and E.L.
Ciemins. 2018. Screening Patients for Diabetes in a Large,
National Clinical Database. Diabetes, 67 (Suppl. 1). See abstract
accessed February 4, 2019 at diabetes.diabetesjournals.org/
5. C.R. Rattelman, N. Stempniewicz, and E.L. Ciemins. 2019. Industry
Insights: Bridging the Gap, From Diabetes Screening to Diagnosis
to Treatment. Group Practice Journal, 68( 3): 10-11.