OpenEvidence Migration & Upgrade
Facilitates seamless transitions between OpenEvidence API versions while maintaining clinical evidence integrity and safety compliance.
This skill provides Claude Code with specialized knowledge for migrating applications using the OpenEvidence clinical AI platform. It automates version detection, schema mapping from legacy to structured response formats, and critical clinical validation checks. It is essential for healthcare developers who must ensure that evidence grading, citation metadata, and safety disclaimers remain accurate during API upgrades, preventing the surfacing of outdated medical data or missing safety warnings in clinical decision support tools.
Key Features
01Automated OpenEvidence API version detection and status verification
02Safety disclaimer enforcement and mandatory field verification
03Robust API rollback strategies and error handling for version mismatches
04Schema mapping for structured evidence grading and citation metadata
05Clinical validation suites for testing question-answer consistency
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Use Cases
01Upgrading clinical decision support tools from legacy OpenEvidence endpoints to structured v2 schemas
02Ensuring safety disclaimer consistency across medical AI chat interfaces during platform updates
03Implementing complex medical citation parsing including PMID, DOI, and evidence grades