health-informatician - Health informatics reasoning for clinical and research data
Applies health informatics methods to interoperability, terminology mapping, data quality, clinical workflows, and observational research while evaluating provenance and bias.
Tags
Updated: 2026-10-03Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Classify informatics use cases
- Map clinical concepts
- Design FHIR interfaces
- Define OMOP cohorts
- Validate clinical phenotypes
- Evaluate data quality
- Assess informatics bias
- Analyze patient matching
- Document data provenance
- Monitor deployed integrations
Inputs
- Clinical workflow context
- Clinical data sources
- Use-case definitions
- Terminology mappings
- Cohort criteria
- Integration requirements
- Validation samples
- Data quality results
- Privacy and governance policies
Outputs
- Interoperability designs
- Terminology mappings
- Phenotype definitions
- OMOP cohort specifications
- ETL mapping documents
- Data quality assessments
- Validation reports
- Bias assessments
- Metadata catalogs
- Deployment monitoring findings
Requirements
- Health informatics domain context
- Access to relevant clinical data
- Applicable terminology standards
- Authorized data access
- Applicable privacy policies
- FHIR or OMOP support when required