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Funded Project Details - FY2021

Project Number:

Title: Using Data Integration and Predictive Analytics to Improve Diagnosis-Based Performance Measures
Principal Investigator:

Katherine J Hoggatt

Location: San Francisco, CA
Congressional District Code: 33
Research Service: Health Services R&D
Project Period: January 2017 - March 2021
FY 2021 Funding Amount: $0
Total Award Amount
(all years):
Abstract: View full abstract and other project information on NIH RePORTER


Background: VA performance monitoring makes extensive use of diagnosis-based quality measures that track delivery of care only among patients who have qualifying ICD-9 diagnosis codes. Diagnosis-based measures can be calculated using existing VA data, allowing for low-cost, near real-time performance monitoring. However, diagnosis-based measures can have critical validity problems if the targeted condition is under- or over-diagnosed to differing degrees across facilities. When variation is diag...

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