An AI-driven assistant tailored for healthcare professionals to automate medical history summarization and clinical report interpretation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install medical-document-processor
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install medical-document-processor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Medical Document Processor?
The Medical Document Processor is a specialized tool within the Openclaw Skills ecosystem, designed to assist medical doctors and clinical researchers in managing high volumes of documentation. It bridges the gap between raw medical data and actionable insights by transforming unstructured clinical notes into organized, structured summaries. This skill focuses on high-accuracy extraction of clinical entities, ensuring that vital information such as chief complaints, physical findings, and treatment plans are never missed.
By integrating this tool into your workflow, you can significantly reduce the time spent on administrative tasks. Whether you are dealing with complex pathology reports or long-form medical literature, this component of Openclaw Skills provides a professional-grade analysis that prioritizes data organization and clarity. It is built with a focus on professional standards, encouraging structured output and patient privacy through anonymization techniques.
Medical Document Processor Use Cases
- Summarizing extensive patient medical histories into structured Markdown highlights.
- Interpreting complex laboratory, imaging, and pathology reports for clinical decision support.
- Extracting key research methodologies and clinical significance from peer-reviewed medical literature.
- Organizing outpatient records and discharge summaries into standardized formats.
- Anonymizing patient data for educational or research purposes using Openclaw Skills.
How Medical Document Processor Works
- The user inputs medical text, such as a patient history, lab results, or a link to a medical paper.
- The skill identifies the document type and applies the relevant medical processing logic.
- Clinical entities like symptoms, medications, and diagnostic results are extracted and categorized.
- The agent structures the data into sections like History of Present Illness (HPI) or Treatment Plans.
- A final Markdown report is generated, featuring tables for data comparison and bold text for critical clinical alerts.
Medical Document Processor Setup
To activate this capability within your environment, ensure you have the core agent framework installed. Add the Medical Document Processor to your active Openclaw Skills collection with the following commands:
# Install the medical processing extension
openclaw install medical-document-processor
# Configure privacy settings for patient data
openclaw configure medical-document-processor --anonymize true
Medical Document Processor Data Schema & Taxonomy
The skill organizes processed information into a structured taxonomy for easy integration into Electronic Health Records (EHR) or research databases:
| Category | Description |
|---|---|
| Subjective | Patient complaints, history of present illness (HPI), and past medical history. |
| Objective | Results from physical examinations, lab tests, and imaging reports. |
| Assessment | Suggested differential diagnoses and clinical interpretations. |
| Plan | Recommended medications, therapies, and follow-up schedules. |
| Research | Methodologies, key findings, and clinical implications for literature tasks. |
Medical Document Processor Advanced Features
- Multi-stage summarization that handles everything from brief clinic notes to multi-page discharge summaries.
- Automated data anonymization to strip personal identifiers while preserving clinical utility.
- Structured Markdown output optimized for inclusion in professional medical reports and databases.
- Deep synthesis of medical literature with a focus on clinical significance and research methodology.
- Support for cross-referencing lab results with standard clinical ranges within Openclaw Skills.
SKILL.md
Loading
Related Openclaw Skills
Macau Clinic AI System
An AI-powered framework for automating medical records, intelligent appointment scheduling, and digital management tailored for Macau's private healthcare sector.
Hengqin Entrepreneurship Subsidy Assistant
An intelligent AI agent designed to help entrepreneurs identify, evaluate, and apply for business subsidies in the Macau and Hengqin regions.
AI Automation Workflow
A professional framework for designing, analyzing, and implementing automated business workflows using leading AI and integration tools.
RestSSH
An MCP-based skill for executing SSH commands and managing persistent remote sessions across diverse device types.
Medical Record Structuring Assistant
A clinical documentation tool that transforms raw outpatient and inpatient notes into professional, structured medical summaries.
Neurology Medical Record Structuring Assistant
An AI-driven assistant that converts raw outpatient clinical text into standardized, structured neurological medical records.
Featured*
