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PythonReactSEOPDF
OpenClaw

medical-entity-extractor

Extract medical entities (symptoms, medications, lab values, diagnoses) from patient messages.

binubmuse0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install binubmuse/medical-entity-extractor

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

Medical Entity Extractor

Extract structured medical information from unstructured patient messages.

What This Skill Does

  1. Symptom Extraction: Identifies symptoms, severity, duration, and progression
  2. Medication Extraction: Finds medication names, dosages, frequencies, and side effects
  3. Lab Value Extraction: Parses lab results, vital signs, and measurements
  4. Diagnosis Extraction: Identifies mentioned diagnoses and conditions
  5. Temporal Extraction: Captures when symptoms started, how long they've lasted
  6. Action Items: Identifies requested actions (appointments, refills, questions)

Input Format

[
  {
    "id": "msg-123",
    "priority_score": 78,
    "priority_bucket": "P1",
    "subject": "Medication side effects",
    "from": "patient@example.com",
    "date": "2026-02-27T10:30:00Z",
    "body": "I've been feeling dizzy since starting the new blood pressure medication (Lisinopril 10mg) three days ago. My BP this morning was 145/92."
  }
]

Output Format

[
  {
    "id": "msg-123",
    "entities": {
      "symptoms": [
        {
          "name": "dizziness",
          "severity": "moderate",
          "duration": "3 days",
          "onset": "since starting new medication"
        }
      ],
      "medications": [
        {
          "name": "Lisinopril",
          "dosage": "10mg",
          "frequency": null,
          "context": "new medication"
        }
      ],
      "lab_values": [
        {
          "type": "blood_pressure",
          "value": "145/92",
          "unit": "mmHg",
          "timestamp": "this morning"
        }
      ],
      "diagnoses": [
        {
          "name": "hypertension",
          "context": "implied by blood pressure medication"
        }
      ],
      "action_items": [
        {
          "type": "medication_review",
          "reason": "possible side effect (dizziness)"
        }
      ]
    },
    "summary": "Patient reports dizziness after starting Lisino...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/binubmuse/medical-entity-extractor
Version
—
Commit
23569017ac3099270f7209207d94b873c32a4eeb
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# Medical Entity Extractor

Extract structured medical information from unstructured patient messages.

## What This Skill Does

1. **Symptom Extraction**: Identifies symptoms, severity, duration, and progression
2. **Medication Extraction**: Finds medication names, dosages, frequencies, and side effects
3. **Lab Value Extraction**: Parses lab results, vital signs, and measurements
4. **Diagnosis Extraction**: Identifies mentioned diagnoses and conditions
5. **Temporal Extraction**: Captures when symptoms started, how long they've lasted
6. **Action Items**: Identifies requested actions (appointments, refills, questions)

## Input Format

```json
[
  {
    "id": "msg-123",
    "priority_score": 78,
    "priority_bucket": "P1",
    "subject": "Medication side effects",
    "from": "patient@example.com",
    "date": "2026-02-27T10:30:00Z",
    "body": "I've been feeling dizzy since starting the new blood pressure medication (Lisinopril 10mg) three days ago. My BP this morning was 145/92."
  }
]
```

## Output Format

```json
[
  {
    "id": "msg-123",
    "entities": {
      "symptoms": [
        {
          "name": "dizziness",
          "severity": "moderate",
          "duration": "3 days",
          "onset": "since starting new medication"
        }
      ],
      "medications": [
        {
          "name": "Lisinopril",
          "dosage": "10mg",
          "frequency": null,
          "context": "new medication"
        }
      ],
      "lab_values": [
        {
          "type": "blood_pressure",
          "value": "145/92",
          "unit": "mmHg",
          "timestamp": "this morning"
        }
      ],
      "diagnoses": [
        {
          "name": "hypertension",
          "context": "implied by blood pressure medication"
        }
      ],
      "action_items": [
        {
          "type": "medication_review",
          "reason": "possible side effect (dizziness)"
        }
      ]
    },
    "summary": "Patient reports dizziness after starting Lisino...

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