medical-analysis

What problem does it solve?

This skill enables AI to perform iterative, hypothesis-driven analysis of medical documents, reducing silos and accelerating clinical reasoning while maintaining safety and context.

Core Features & Use Cases

• Agentic exploration across multiple documents to form hypotheses and test them for supporting or refuting evidence.
• Cross-reference findings across reports, labs, imaging, and notes to synthesize a cohesive clinical narrative.
• Provide calibrated interpretations and escalate when urgent data patterns emerge.

Quick Start

Use the medical-analysis skill to explore a patient's data by listing available documents with list_documents(), reading the most important document with read_document("Document_Name"), and initializing the analysis with update_analysis("Patient Context", initial_snapshot). Then use search_data(query) to fetch related evidence, review findings with get_analysis(), and progress toward a final synthesis with complete_analysis(summary, confidence).