
Healthcare Cdss Patterns
This is a pure function library for building clinical decision support systems with zero tolerance for false negatives. It covers drug interaction checking (with bidirectional pairs and allergy cross-reactivity), dose validation adjusted for weight, age, and renal function, and clinical scoring like NEWS2. The architecture is deliberate: CDSS functions take clinical data as input and return alerts with no side effects, making everything unit testable. Critical alerts block the UI with non-dismissable modals and require documented override reasons in the audit trail. Contributed by Dr. Keyur Patel from Health1 Super Speciality Hospitals, so the patterns reflect real EMR integration concerns. Use this when patient safety checks need to be provably correct, not just nice to have.
- skills.sh installs
- 5.4K
- GitHub stars
- 300.3K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add affaan-m/ecc --skill healthcare-cdss-patterns --agent claude-codeInstalls 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.
When to Use
- Implementing drug interaction checking
- Building dose validation engines
- Implementing clinical scoring systems (NEWS2, qSOFA, APACHE, GCS)
- Designing alert systems for abnormal clinical values
- Building medication order entry with safety checks
- Integrating lab result interpretation with clinical context
How It Works
The CDSS engine is a pure function library with zero side effects. Input clinical data, output alerts. This makes it fully testable.
Three primary modules:
Sponsors
Details
- Repository
- github.com/affaan-m/ecc
- Categories
- Productivity & Planning, Design & UI/UX
- First seen
- Jul 14, 2026
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