Using Electronic Records to Detect and Learn from Ambulatory Diagnostic Errors
Agency for Healthcare Research and Quality: 1R18HS017244-01
Total award $775,000
PI: Eric Thomas
Diagnostic errors are likely the most common, expensive, and harmful type of error in primary care. This study will develop and test an electronic trigger tool to identify diagnostic errors by screening data available in electronic health records. This will enable primary care practices to identify, learn from, and prevent these errors.