building-patient-timelines SKILL.md skillA
building-patient-timelines from maziyarpanahi/openmed is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add maziyarpanahi/openmed/building-patient-timelines@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- maziyarpanahi/openmed
- Path
skills/building-patient-timelines/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0, committed Jul 20, 2026
- Size
- 7,692 bytes
- Repository stars
- 5,784
- License
- Apache-2.0
Assemble a chronological patient timeline from OpenMed-extracted clinical events, normalizing dates and resolving relative time expressions on-device. Use when the user wants to build a patient timeline, order events from clinical notes, reconstruct a longitudinal history, plot a course of illness, or turn analyze_text/deidentify output into a sorted sequence of dated encounters, diagnoses, medications, and procedures. Covers temporal normalization (absolute and relative), event modeling…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Building patient timelines
A patient timeline is a chronologically ordered list of clinical events —
diagnoses, medications, procedures, encounters — each carrying a normalized
date. OpenMed gives you the **events** (via `analyze_text`) and the **clinical
temporality** of each mention (current vs. historical, see
`resolving-clinical-context`); this skill turns those into a sorted timeline.
Everything runs **on-device** — de-identify first if the source notes contain
PHI, and keep raw identifiers out of logs.
## When to use this skill
After you have extracted entities from one or more notes and want them ordered
in time: a longitudinal history, a "course of illness" view, a feed for a
summary card, or a pre-step before FHIR export. If you only need to *extract*
entities, use `extracting-clinical-entities`. If you need negation/temporality
on a single mention, use `resolving-clinical-context`.
## Quick start
```python
import datetime as dt
import openmed
note = (
"Discharge summary, 2024-03-12. Patient admitted 2024-03-08 with chest pain. "
"History of type 2 diabetes diagnosed in 2019. Started on metformin two days "
…Read the whole file at its exact version.
How to install
mdr add maziyarpanahi/openmed/building-patient-timelines@sha256:99ba4e467729e4e1The line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_hkqx2wdwvgzvmzeq)
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Versions
The registry has recorded 1 version of this file, committed on Jul 20, 2026.
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Source
maziyarpanahi/openmed · 5,784 stars · license Apache-2.0 · pushed 2026-11-07 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_hkqx2wdwvgzvmzeq GET https://markdownregistry.com/api/v1/resolve?ref=maziyarpanahi/openmed/building-patient-timelines GET https://markdownregistry.com/api/v1/blob/99ba4e467729e4e152f725f1aba8fc63cf86f62196443b9f5a8f5b765e8178b4
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