building-patient-timelines

This Skill builds chronological patient timelines from extracted clinical events by normalizing absolute and relative dates against reliable document or encounter anchors. It resolves temporal references like 'yesterday' or 'two days after admission' while preserving date granularity and uncertainty.

Temporal normalization resolves relative dates like 'yesterday' or 'two days after admission' by anchoring them to reliable document or encounter dates. This ensures accurate chronological sorting while preserving date granularity, tracking confidence, and maintaining original source spans.

Yes, this tool produces sorted clinical event lists suitable for FHIR export and OMOP transformation. It models encounters, diagnoses, and procedures with labels and note identifiers, preparing the chronological output for direct integration into interoperability workflows.

The best way to handle ambiguous or undated events is by using timeline quality controls that safely preserve them for review. The Skill excludes negated, hypothetical, and family-history mentions while de-duplicating repeated entries and separating planned events.

Yes, this Skill processes extracted clinical events from de-identified notes into sorted patient histories suitable for pre-FHIR charting feeds. It applies temporality filtering, tracks confidence and source spans, and separates planned events for accurate encounter summaries.