Source description
About the role
Identify, analyze, and resolve clinical data quality issues across Aledade's multi-vendor EHR ecosystem. Investigate root causes of data discrepancies at the interface, configuration, and source system level. Produce structured findings with actionable recommendations for engineering and integration teams.
Map clinical data elements to standardized code systems and validate mapping accuracy across clinical domains. Support the development and maintenance of Aledade's terminology mapping capabilities, including rule-based and AI-assisted approaches.
Support quality measure programs by ensuring clinical data completeness and accuracy throughout the reporting pipeline. Validate measure logic and code sets against published specifications. Identify data gaps impacting measure performance and collaborate cross-functionally to resolution..
Serve as the clinical subject matter expert for new data sources, AI-powered extraction, and interoperability initiatives. Provide clinical context to engineering, product, and operations teams for data governance, vendor engagement, and process improvement efforts.
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