Curate family history with pedigree detail
This recipe is part of Advanced Data Curation: capturing facts that do not exist in OMOP.
User goal
Structure family-history narrative, including relative, condition, age at onset, and genetic results.
When to use this
Use for hereditary-risk stratification, genetic-counseling referral worklists, or research cohorts that depend on family history.
Required inputs/data
- Dataset built from a cohort or ingestion results (see the "Build a dataset" recipe reference in Scenario: S3 to cohort to dataset to Data Curation) for patients with social or family-history documentation
- Note types such as H&P, new-patient/intake notes, genetics notes, and oncology notes
- A custom registry defining the family-history fields
Custom registry fields (illustrative)
relativeconditionage_at_onsetvital_statusgenetic_test_result
Patient Journey Intelligence features involved
- Dataset Builder / Explorer
- Data Curation Studio
- Custom Registries
- Curation Results and evidence review
- Medical Terminology
- Result export
Step-by-step workflow
- Build a dataset of patients with family-history documentation.
- Define a custom registry with the family-history fields, one row per relative-condition pair.
- Run the curation job.
- Review extracted relationships, conditions, and ages against evidence spans.
- Normalize condition terms where needed; correct and validate values.
- Export the structured family-history table for risk scoring or cohort building.
Expected output
- Structured family-history records
- Evidence-linked, reviewed values
- Exportable table supporting hereditary-risk workflows
Edge cases / limitations
- A single sentence can describe several relatives and conditions; model one record per relative-condition pair.
- Negated history, such as "no family history of cancer," must not be captured as positive history.
- Relationship terms can be ambiguous; preserve the source phrasing.
- Self-reported family history is unverified and should be labeled accordingly for downstream use.
User value
- Converts buried family-history prose into structured risk signals for screening, referral, and research.
Next step
See related recipes: Recipe 13: Curate reason for medication discontinuation or switch, Recipe 14: Curate implanted-device / UDI details, Recipe 15: Curate cancer recurrence events.