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Development of an automated ERCP Quality Report Card using structured data fields
Gregory A Coté1, B Joseph Elmunzer1, Erin Forster1
1Department of Medicine, Medical University of South Carolina, Charleston, SC.
Implementing structured data fields in endoscopic retrograde cholangiopancreatography (ERCP) reports accurately measures quality indicators (QIs) and enables provider report cards. This improves adherence monitoring for key ERCP metrics.
Area of Science:
- Gastroenterology
- Medical Informatics
- Healthcare Quality Improvement
Background:
- Measuring adherence to ERCP quality indicators (QIs) is challenging due to variations in documentation.
- Standardized data collection is needed to accurately assess ERCP performance.
Purpose of the Study:
- To test if mandatory, structured data fields in ERCP reporting software improve QI adherence measurement.
- To assess the feasibility of generating provider-specific ERCP report cards.
Main Methods:
- Endoscopy software was modified at two centers to prompt providers for standardized documentation of key ERCP components.
- Adherence rates for high-priority QIs were calculated using automated data extraction from reports.
- Manual chart review was performed to validate the accuracy of automated data extraction.
Main Results:
- Automated extraction of ERCP QIs showed high accuracy (98-100%), including papilla cannulation and stone extraction rates.
- Provider-specific ERCP report cards were successfully generated, enabling performance comparisons.
- 1,376 ERCP procedures by 8 providers were analyzed over 9 months.
Conclusions:
- Mandatory, structured data fields in ERCP reports enable accurate measurement of critical QIs.
- This approach facilitates the creation of regular ERCP performance report cards for providers.
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