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By PhenoML
Develop FHIR R4/R5 applications with guidance on resource modeling, server implementation, profile validation, terminology handling, SMART on FHIR, FSH authoring, SUSHI, GoFSH, and IG publishing
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Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
HealthCare domain specialization with HIPAA compliance, HL7 FHIR interoperability, PHI data handling, clinical data modeling, EHR system integration, medical device software (IEC 62304), telehealth architecture, and healthcare analytics.
FHIR AI agent guardrails with 14 MCP tools. PHI redaction on every read, step-up authorization for writes, immutable audit trails, tenant isolation, Curatr data quality evaluation and correction, Fasten Connect EHR ingestion, and HealthEx portable health record export. FHIR R4 US Core v9 (stable) + FHIR R6 ballot3 (experimental). A healthclaw.io reference implementation.
Claude Code skill pack for OpenEvidence medical AI (24 skills)
Automate payer review of prior authorization requests with clinical documentation synthesis
AI-powered secure development workflow for healthcare software. Implements RePPITS (Research, Propose, Plan, Implement, Test, Secure) with HIPAA, SOC2, and HITRUST compliance gates that run against your diff before commit. Slash commands: /reppit, /research-codebase, /make-proposals, /make-plan, /implement, /review-code, /secure.
REST API design specialist for RESTful principles, HTTP methods, status codes, versioning strategies, pagination (cursor/offset), rate limiting, HATEOAS, and OpenAPI/Swagger documentation. Use when designing or implementing REST APIs.
PhenoML skills for healthcare data processing: workflow creation, condition extraction, patient registration, and real-world evidence analysis
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