med-chronic-disease-review

What This Skill Does

The med-chronic-disease-review skill is a specialized OpenClaw agent tool designed for the automated auditing of outpatient chronic disease records, specifically focusing on diabetes and hypertension. It serves as an intelligent bridge between raw OCR data extracted from medical documents and structured decision-making. The skill takes an array of OCR outputs—containing details from discharge summaries, inspection reports, and other medical records—and processes them to generate both machine-readable JSON auditing results and human-readable natural language summaries that highlight key clinical conclusions and the reasoning behind those decisions.

Installation

To integrate this skill into your environment, utilize the OpenClaw management CLI. Open your terminal and execute the following command:

clawhub install openclaw/skills/skills/aaiccee/chronic-disease-review

Ensure that you have the necessary environment dependencies installed for the underlying Python scripts located in the scripts/ directory, and verify that your system has access to the required medical auditing backend service.

Use Cases

This skill is highly effective for medical administrative tasks, including:

• Insurance Pre-authorization: Rapidly auditing whether a patient's medical history meets the criteria for chronic disease support based on uploaded reports.
• Medical Record Batch Processing: Automating the review of high volumes of outpatient records for clinic compliance departments.
• Clinical Decision Support: Providing practitioners with a summary of critical indicators found across fragmented laboratory and clinical documentation.

Example Prompts

1. "Review the provided medical file for diabetes eligibility: upload ./data/diabetes_records.json and output the final decision to a file."
2. "Audit the patient's hypertension case. Analyze the OCR data from the discharge summary and let me know if it meets the criteria for approval."
3. "Process the recent outpatient records for the chronic disease audit, specifically checking for compliance with the hypertension coverage policy."

Tips & Limitations

• Data Privacy: The skill adheres to a strict data-minimization policy. Ensure all OCR inputs are properly redacted to exclude PII (Personally Identifiable Information) before processing.
• Medical Boundary: Always remember that this tool provides an automated audit based on rule-matching. It does not replace the professional judgment of a qualified clinician. All outputs should be reviewed by authorized medical staff.
• Environment: The skill requires an active network connection to the configured backend API for processing logic. If you face issues, ensure your --base URL is correctly configured and reachable from your network.