medic

Extract and structure medical data from records, notes, and PDFs.

18|1|Updated Feb 14, 2026

Search Tags:#OCR #medical data #differential diagnosis #clinical analysis #patient summary

Ready to run

npx skills add https://github.com/iankiku/forwward-teams --skill medic-iankiku

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: medic
Source: https://github.com/iankiku/forwward-teams/tree/main/skills/medic
Command: npx skills add https://github.com/iankiku/forwward-teams --skill medic-iankiku

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the processing of medical records, notes, and data, providing structured summaries and clinical insights at a glance.

Core Features & Use Cases

Medical Record Interpretation: Analyze medical records, PDFs, and data to produce structured patient summaries.
Clinical Decision Support: Offer differential diagnosis, drug interaction flags, and treatment suggestions.
Data Presentation Guidance: Advise on presenting medical information effectively for both patient and clinician.
Use Case: If you receive a patient's medical record, use this Skill to quickly get a structured summary of the patient's health status and potential concerns.

Quick Start

Generate a patient summary from the attached medical record 'patient-123.pdf'.

Frequently Asked Questions about medic

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract medical data from PDF records for clinical analysis?▼

You can extract medical data from PDF records by applying OCR and term normalization to map unstructured text to standard fields. This Skill structures the extracted data to produce patient summaries and clinical insights for healthcare providers.

What is the best way to generate a structured patient summary from clinical notes?▼

The best way to generate a structured patient summary from clinical notes is by mapping terminology to standard data fields. This Skill interprets the records to provide a structured overview of patient health status and potential clinical concerns.

Can I get differential diagnosis and treatment suggestions from medical records?▼

Yes, you can get differential diagnosis and treatment suggestions from medical records. This Skill provides clinical decision support by analyzing structured data to flag drug interactions and offer treatment insights for healthcare providers.

Does this medical data analysis approach work with unstructured PDF files?▼

Yes, this medical data analysis approach works with unstructured PDF files by utilizing OCR to extract text. It normalizes medical terms and maps them to standard fields to ensure data integrity for accurate clinical analysis.

How do I normalize medical terms in extracted records for data integrity?▼

To normalize medical terms in extracted records for data integrity, this Skill maps OCR-extracted text to standard fields. This ensures that clinical insights and patient summaries generated from the medical data remain consistent and accurate.

What are the limitations of using automated clinical decision support for patient summaries?▼

A limitation of automated clinical decision support is that it is intended for healthcare providers needing quick insights, not definitive diagnosis. It should be used to advise on presenting medical information effectively and flagging potential clinical concerns.