What problem does it solve? Users who receive physical exam reports, lab results, imaging, endoscopy, or pathology reports often cannot understand abnormal indicators, risk signals, or what to do next. This Skill organizes report evidence, explains abnormal items in plain language, prioritizes follow-up actions, and produces a shareable Feishu health management document. ## Core Features & Use Cases - Evidence-Based Report Interpretation: Extracts structured evidence (item, value, unit, reference range, date) from uploaded report images, PDFs, and documents, with mandatory value verification before generating conclusions. - Prioritized Health Problem Classification: Groups findings into urgent review, timely medical review, follow-up testing, and long-term management, each with explicit time windows and plain-language explanations. - Trend Analysis and Visualization: Generates Feishu chart assistant cards for multi-timepoint trends or single-report abnormal distribution charts via bundled Node.js scripts. - Use Case: A user uploads a blood test PDF and asks "is this normal?" The Skill extracts and verifies each value, explains every abnormal indicator by system category, builds deviation charts, and delivers a Feishu document link with follow-up and lifestyle recommendations. ## Quick Start Upload your physical exam or lab report and ask the assistant to interpret the abnormal indicators and generate a Feishu health management report.
