Using electronic medical records to measure and improve performance

Area of Science:

• Health Informatics
• Clinical Quality Measurement
• Healthcare Transparency

Background:

• Clinical performance measurement and public reporting are increasingly important, driven by transparency initiatives and quality incentive systems.
• Current performance measurement predominantly relies on insurance claims, which have significant limitations.
• These limitations include difficulties in attributing care to specific physicians, inefficient data sampling, and a lack of detailed clinical information.

Purpose of the Study:

• To address the limitations of claims-based clinical performance measurement.
• To explore the use of electronic medical records (EMRs) for more accurate and comprehensive quality assessment.
• To present the design and preliminary findings of a trial using EMRs to improve diabetes care.

Main Methods:

• Utilizing electronic medical records (EMRs) to overcome the shortcomings of insurance claims data.
• Designing a large-scale trial focused on enhancing the care of patients with diabetes.
• Implementing EMR-driven strategies for performance measurement and practice improvement.

Main Results:

• EMRs enable more precise attribution of care compared to claims data.
• EMRs facilitate more timely and specific feedback to physicians and patients.
• Preliminary results from the diabetes trial indicate potential for improved care quality.

Conclusions:

• Electronic medical records (EMRs) provide a more robust platform for clinical performance measurement than insurance claims.
• EMR-based approaches can address critical limitations in quality measurement, including care attribution and feedback loops.
• Further research and implementation of EMRs are crucial for advancing healthcare quality and transparency, especially for underserved populations.