Medical & Healthcare
Segmenting Clinical Sections
Split a clinical note into canonical sections (Chief Complaint, HPI, PMH, Medications, Allergies, Assessment & Plan, etc.) before running OpenMed NER or de-identification, so section context sharpens downstream precision. Use when the user has a free-text note or discharge summary and wants section-aware processing, header detection, mapping headers to LOINC document-section codes, or per-section NER/de-id. Covers heuristic header detection, normalization to canonical section labels, LOINC/SecTag framing, and why a finding in PMH is historical while the same finding in A&P is active. Hand-off: feed each sectioned chunk into openmed.analyze_text / openmed.deidentify. Pairs before extracting-clinical-entities.
- Publisher / source
- maziyarpanahi/openmed (found on GitHub top repositories)
- Upstream record
- maziyarpanahi/openmed
- Version
- Version 1
- Published
- Publication review
- Approved for publication · recorded passed scan 2026-11-05
- Content fingerprint
337385f4bd62dd3a8379f324616e6f04f21c2a8da2e0d1392f208af301cd9ba2