medical-unit-converter

What This Skill Does

The Medical Unit Converter is a specialized OpenClaw agent skill designed to provide accurate, transparent, and context-aware laboratory value conversions. It bridges the gap between different clinical measurement standards, specifically supporting Glucose, Cholesterol, Creatinine, and Hemoglobin. Beyond simple arithmetic, the skill embeds clinical reference ranges, helping users interpret the relevance of the converted result in a standard physiological context. It functions as a verification tool to ensure data integrity across various clinical documentation workflows.

Installation

To integrate this skill into your environment, run the following command via your terminal: clawhub install openclaw/skills/skills/aipoch-ai/medical-unit-converter Ensure your OpenClaw environment is updated to the latest version to maintain compatibility with the required dependencies.

Use Cases

• Clinical Documentation: Standardizing lab reports for international clinical trials or multi-system hospital databases.
• Research Data Normalization: Quickly batch-converting raw laboratory result datasets to a consistent unit system (e.g., all mmol/L for glucose).
• Academic Study: Assisting medical students and researchers in identifying how clinical values differ when presented in diverse regional unit formats (e.g., US vs. SI units).
• Quality Assurance: Acting as a verification layer to check if manually recorded or transcribed lab values match expected physiological ranges.

Example Prompts

1. "Convert a glucose value of 110 mg/dL to mmol/L and tell me how that compares to the fasting reference range."
2. "I have a creatinine result of 95 μmol/L. What is this in mg/dL, and is this considered normal for a male patient?"
3. "Normalize my cholesterol data from 4.5 mmol/L to mg/dL for my presentation."

Tips & Limitations

• Transparency: Every output includes the exact multiplication factor used, promoting auditability.
• Scope: The skill is strictly limited to the four analytes specified (Glucose, Cholesterol, Creatinine, Hemoglobin). Do not attempt to use this tool for electrolytes or enzyme panels not explicitly listed.
• Validation: Always verify the analyte type provided by the user to ensure the correct conversion factor is applied. If a user provides an unsupported analyte, the agent is trained to trigger a fallback procedure to avoid inaccurate estimations.
• Precision: While the calculations are precise, always refer to institutional reference ranges, as clinical norms may vary based on laboratory methodology and patient demographics.