Potential of Electronic Medical Record Data for National Quality Measurement

Area of Science:

• Health Informatics
• Healthcare Quality Management
• Health Services Research

Background:

• National quality measurements and risk-adjusted provider comparisons typically rely on administrative or clinical data.
• Both traditional data sources present inherent limitations impacting quality assessment accuracy.
• The increasing digitalization in healthcare institutions necessitates exploring alternative data sources.

Purpose of the Study:

• To evaluate the feasibility of using electronic medical records (EMRs) for risk-adjusted quality comparisons.
• To assess the content and technical usability of EMR data for healthcare quality measurement.
• To determine if EMR data can overcome limitations of traditional data sources.

Main Methods:

• Analysis of data export capabilities from electronic medical records.
• Assessment of the content relevance and technical accessibility of EMR data for quality metrics.
• Exploration of methods for operationalizing EMR data for risk adjustment.

Main Results:

• Most relevant information for quality measurements can be exported from EMRs with minimal effort.
• EMR data offers potential for sophisticated operationalization in risk-adjusted quality comparisons.
• The transition to EMRs presents an opportunity to enhance healthcare quality measurement.

Conclusions:

• Electronic medical records are a viable data source for risk-adjusted quality comparisons in healthcare.
• Leveraging EMR data requires advanced methods for data operationalization to ensure accuracy.
• The digitalization trend supports the evolution of healthcare quality measurement methodologies.