Understanding Diagnostic Safety Events and Diagnostic Error

https://qualityindicators.ahrq.gov/resources/diagnostic_excellence AHRQ is pleased to announce the release of a new resource to support Diagnostic Excellence measurement efforts. This tool is designed to help hospital systems, researchers, and other users identify potential missed opportunities for diagnosis at a population level. The Diagnostic Excellence resource introduces a standardized approach to examining diagnostic processes and aligns with AHRQ’s broader goal to improve patient safety. It includes the Symptom–Disease Pair Analysis (SPADE) Python Tool and supporting technical specifications, which allow users to calculate rates of potentially missed diagnoses of stroke and acute myocardial infarction using linked emergency department and inpatient claims data. Highlights of the SPADE Python Tool: Calculates rates of potential missed diagnosis of stroke and acute myocardial infarction using a look-forward or look-back approach. Applies the Symptom–Disease Pair Analysis (SPADE) methodology to claims data that link emergency department and inpatient data. Does not require access to electronic health records data. Helps identify frequency and specific cases in which symptom–disease pairs occurred for further analysis. The Diagnostic Excellence SPADE Tool is now available on the AHRQ Quality Indicators website: https://qualityindicators.ahrq.gov/resources/diagnostic_excellence. Feedback on these tools is welcome at QIsupport@ahrq.hhs.gov. Sincerely,