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medical-ocr

Extract clinical data from medical documents and generate FHIR R4 resources.

Updated Nov 22, 2025
Search Tags:#ocr#nlp#vision#HIPAA#PHI#fhir#medical-ocr
One-click install
npx skills add https://github.com/Fadil369/doctors-linc --skill medical-ocr
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: medical-ocr
Source: https://github.com/Fadil369/doctors-linc/tree/main/src/skills/medical-ocr
Command: npx skills add https://github.com/Fadil369/doctors-linc --skill medical-ocr

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables Claude to extract and structure clinical data from medical documents using OCR and medical NLP, designed for healthcare workflows and FHIR R4 compliance.

Core Features & Use Cases

  • OCR Text Extraction: Retrieve text from medical images (prescriptions, lab results, notes) using Google Cloud Vision.
  • Medical Entity Recognition: Identify medications, vital signs, diagnoses, and other clinical data.
  • FHIR Resource Generation: Build FHIR R4 resources from extracted data and prepare data for EHR integration.
  • HIPAA & PHI Considerations: Built-in awareness of HIPAA obligations and PHI handling.

Quick Start

Provide an image path to run OCR extraction and transform the results into structured clinical data and optional FHIR resources.

Frequently Asked Questions about medical-ocr

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

FAQPage Schema
How do I extract text from medical images like prescriptions and lab results?▼

OCR text extraction from medical images retrieves clinical data using Google Cloud Vision. This Skill processes prescriptions, lab results, and handwritten forms to convert unstructured medical documents into machine-readable text for downstream analysis.

Can I convert medical documents into FHIR-compliant resources?▼

Yes, this Skill generates FHIR R4 resources from extracted clinical data. It transforms OCR output and recognized medical entities into structured FHIR resources ready for EHR integration and healthcare workflows.

How do I identify medications, diagnoses, and vital signs from medical documents?▼

Medical entity recognition extracts clinical data by identifying medications, vital signs, diagnoses, and other clinical entities from unstructured text. This enables structured data capture for prescriptions, lab results, and clinical notes in a single workflow.

What should I know about handling PHI and HIPAA compliance when processing medical documents?▼

This Skill includes built-in HIPAA and PHI awareness to support compliant healthcare workflows. Understanding PHI handling obligations is critical when extracting sensitive clinical data from medical images and documents.

Does this work with handwritten medical forms and unstructured clinical notes?▼

Yes, OCR and NLP processing handles handwritten forms and unstructured clinical notes alongside prescriptions and lab results. The Skill converts diverse document types into structured clinical data regardless of format or handwriting variation.

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