Lab Result Interpretation Assistant

Automatically extract, organize, and interpret biochemical and hematological laboratory test data from clinical lab reports. This skill provides AI agents with structured interpretation of lab values including reference range comparison, critical value flagging, clinical significance analysis, pattern recognition across related analytes, and differential diagnosis suggestions based on abnormal result patterns -- serving as a clinical decision-support tool for laboratory medicine workflows.

Quick Install

npx skills add Open-Medica/open-medical-skills --skill lab-result-interpreter

What It Does

• Structured lab value extraction from free-text or tabular lab reports, normalizing test names to LOINC codes and organizing results by organ system panel (metabolic, hepatic, renal, hematologic, thyroid, cardiac, coagulation)
• Reference range comparison with age-, sex-, and pregnancy-adjusted normal ranges, flagging values as low, normal, high, or critically abnormal with clear visual indicators
• Critical value alerting for results that require immediate clinical attention (e.g., potassium > 6.5 mEq/L, glucose < 40 mg/dL, INR > 5.0, hemoglobin < 7 g/dL), following CAP/CLIA critical value guidelines
• Multi-analyte pattern recognition to identify clinically meaningful patterns across related tests (e.g., elevated AST/ALT with high bilirubin and low albumin suggesting hepatic dysfunction, or elevated BUN/creatinine ratio suggesting prerenal azotemia)
• Delta check analysis comparing current results against previous values when historical data is provided, identifying clinically significant changes and trends over time

Clinical Use Cases