Data Analyst, Clinical Data Effectiveness
Core
Ensuring clinical data completeness and effectiveness for an AI-powered physician enablement platform by analyzing healthcare interoperability networks and vendor integrations.
Role type
Data Analyst (Healthcare Interoperability)
Builds
Reliable clinical data pipelines and vendor strategy for an AI physician assistant platform.
Domain
Healthcare technology / Health Information Exchange (HIE) / Value-based care
Deliverable
production ML models | product features
Required skills
SQL, data visualization, claims-clinical data reconciliation, HL7/CCDA/ADT standards, Python, data gap analysis, vendor platform evaluation
Preferred skills
TEFCA/QHIN frameworks, population health background, claims-clinical data reconciliation, Python automation
Technologies
SQL, Python, HL7, CCDA, ADT, TEFCA, QHIN, Bamboo Health, HSX, Particle Health, Kno2
Responsibilities
Monitor healthcare facilities for high-quality clinical document generation; map and correlate facility-specific data across disparate sources to uncover missingness patterns; establish transparent reporting on ADT coverage; recommend technical configurations for existing data vendors; conduct proof-of-concepts for new data integration technologies; develop frameworks for prioritizing facility targets for direct data acquisition; inform vendor strategy around national interoperability initiatives; partner with Product Managers, Engineers, and Clinical teams to define requirements and validate data quality.
Seniority
Mid-level, hands-on IC