Healthcare Cdss Patterns

This is a pattern library for building Clinical Decision Support Systems that check drug interactions, validate doses against weight/age/renal function, and calculate clinical scores like NEWS2. It's architected as pure functions with zero side effects, which makes the whole thing fully testable. The critical insight here is the zero tolerance stance: 100% test coverage on interaction pairs (bidirectional), blocking UI behavior for critical alerts with mandatory override documentation, and explicit failure when required patient data is missing rather than silently passing. You'd use this when integrating safety checks into EMR workflows where a false negative is a patient safety event. The code samples are production-grade and opinionated about what constitutes acceptable risk in healthcare software.

skills.sh installs: 3.9K
GitHub stars: 229.1K
last updated: Jul 14, 2026

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Install

$ npx -y skills add affaan-m/everything-claude-code --skill healthcare-cdss-patterns --agent claude-code

Installs into .claude/skills of the current project.

Files

Healthcare CDSS Development Patterns

Patterns for building Clinical Decision Support Systems that integrate into EMR workflows. CDSS modules are patient safety critical — zero tolerance for false negatives.