How does this skill help with HIPAA compliance?

It provides specific tasks for Business Associate Agreements (BAA), data processing documentation, and PHI (Protected Health Information) sanitization to ensure the integration meets healthcare privacy standards.

Are there code examples included?

Yes, the skill provides TypeScript implementation patterns for high-availability configurations, circuit breakers, health check endpoints, and production-grade error handling.

What does the OpenEvidence Production Checklist cover?

The checklist covers ten critical domains including Legal & Compliance, Security, Infrastructure, Monitoring, Error Handling, Performance, Documentation, Testing, Deployment, and Post-Launch monitoring.

What infrastructure patterns are recommended?

It recommends implementing multiple API endpoints for failover, circuit breakers (like Opossum), rate limit handling, and appropriate timeout configurations for clinical queries.

OpenEvidence Production Readiness

Name: OpenEvidence Production Readiness
Author: jeremylongshore

byjeremylongshore

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1,243

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Deployment & DevOps

Guides developers through a comprehensive production readiness checklist and implementation patterns for OpenEvidence clinical AI deployments.

The OpenEvidence Production Checklist is a specialized skill designed to ensure clinical AI integrations meet the rigorous standards of healthcare environments. It provides a structured framework covering legal compliance (BAA), security protocols like PHI sanitization, infrastructure resilience through circuit breakers, and clinical validation. By offering standardized code snippets for health checks and failover configurations, this skill helps developers minimize deployment risks, maintain HIPAA compliance, and ensure high availability for critical clinical decision support systems.

Key Features

01HIPAA and BAA compliance verification for clinical environments

02Standardized monitoring, alerting, and health check templates

031,243 GitHub stars

04Security hardening patterns including PHI sanitization and key rotation

05Infrastructure resilience patterns like Circuit Breakers and fallback logic

06Clinical validation and performance benchmarking guidelines

Use Cases

01Auditing existing OpenEvidence integrations for security and compliance

02Configuring high-availability infrastructure for healthcare API services

03Conducting pre-deployment reviews for clinical AI applications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills openevidence-prod-checklist

For use in Claude.ai and ChatGPT

Download Skill

Key Features

01HIPAA and BAA compliance verification for clinical environments

02Standardized monitoring, alerting, and health check templates

031,243 GitHub stars

04Security hardening patterns including PHI sanitization and key rotation

05Infrastructure resilience patterns like Circuit Breakers and fallback logic

06Clinical validation and performance benchmarking guidelines

Use Cases

01Auditing existing OpenEvidence integrations for security and compliance

02Configuring high-availability infrastructure for healthcare API services

03Conducting pre-deployment reviews for clinical AI applications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills openevidence-prod-checklist

For use in Claude.ai and ChatGPT

Download Skill