acronym-unpacker

What This Skill Does

The Acronym Unpacker is an intelligent diagnostic tool designed for medical professionals, researchers, and students who frequently deal with dense clinical documentation. Medical acronyms are notoriously ambiguous; for example, "PID" could refer to Pelvic Inflammatory Disease in a gynecology setting or Prolapsed Intervertebral Disc in an orthopedics setting. This skill resolves these conflicts by performing context-aware semantic analysis. By accepting a clinical specialty parameter, it intelligently ranks possible full-form expansions based on historical medical usage, confidence intervals, and document-level patterns. It serves as a reliable assistant to ensure that clinical records are interpreted correctly and reduces the time spent manually verifying abbreviations in patient charts or research papers.

Installation

You can integrate this tool into your OpenClaw environment by running the following command in your terminal:

clawhub install openclaw/skills/skills/aipoch-ai/acronym-unpacker

Ensure you have a Python 3.7+ environment configured, as the tool leverages native Python libraries to ensure maximum performance and security without requiring heavy external dependencies.

Use Cases

• Clinical Chart Auditing: Quickly standardize and define abbreviations within patient electronic health records (EHR) to prevent miscommunication between departments.
• Research Documentation: Assist medical students and researchers in summarizing study notes where shorthand is common but precision is required for data publication.
• Pharmacy Review: Verify medication-related abbreviations that may have high-stakes implications if misinterpreted.
• Educational Support: Use the --list feature to serve as an instant lookup guide for common medical terminology used in daily practice.

Example Prompts

1. "Acronym Unpacker, please clarify what PID refers to in my patient file which focuses on a gynecology follow-up visit."
2. "I am reviewing a cardiology report containing the term MI; can you expand this and confirm the standard clinical confidence level?"
3. "Show me the full list of supported medical acronyms and their default expansions for general practice usage."

Tips & Limitations

• Specialty Context: Always provide the --context flag if the source material is specific to a medical field (e.g., gynecology, cardiology). The tool performs significantly better when you narrow the scope.
• Verification: While the tool provides confidence scores, it is a supportive assistant. Always verify highly sensitive clinical interpretations against the original primary source or clinical guidelines.
• Feedback Loop: The system is designed to learn from usage patterns; if you encounter an uncommon abbreviation, it may perform better when the full document text is processed rather than a single term.