evidence-chain-assessment
OfficialMap health AI evidence maturity
AuthorEvidenceOS
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the critical challenge of understanding and validating the maturity of health AI tools, bridging the gap between laboratory performance and real-world clinical deployment.
Core Features & Use Cases
- Evidence Chain Mapping: Systematically assess a health AI tool across its 5-phase evidence lifecycle (Technical Validation, Clinical Validation, Clinical Utility, Implementation, Monitoring).
- Gap Analysis: Identify crucial missing evidence that hinders deployment and clinical adoption.
- Study Design: Propose a study to fill the most significant evidence gap.
- Use Case: A hospital is considering adopting a new AI-powered diagnostic tool. This Skill helps the clinical team evaluate the tool's readiness by mapping its current evidence base and identifying what further validation is needed before patient use.
Quick Start
Map the evidence chain for the 'AI-Radiology-Assistant' tool.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: evidence-chain-assessment Download link: https://github.com/EvidenceOS/awesome-health-ai-skills/archive/main.zip#evidence-chain-assessment Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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