What is the OpenEvidence Reference Architecture skill?

It is a specialized Claude Code skill that provides a standardized, best-practice blueprint for building healthcare applications that integrate with OpenEvidence's clinical AI.

How do I trigger this skill in Claude Code?

You can trigger it using phrases like 'openevidence architecture', 'clinical ai architecture', or 'openevidence best practices'.

Can I use this for EHR integrations?

Absolutely. The skill includes reference patterns for FHIR integrations and CDS Hooks, making it easier to connect with platforms like Epic or Cerner.

Does this architecture support HIPAA compliance?

Yes, it includes specific architectural layers and code patterns for HIPAA audit logging, PHI sanitization, and secure data handling.

What programming language does this support?

The reference architecture and code examples are primarily designed for TypeScript and Node.js environments.

OpenEvidence Reference Architecture

Name: OpenEvidence Reference Architecture
Author: jeremylongshore

byjeremylongshore

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1,440

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API Development

Implements production-ready clinical AI architecture patterns and best-practice project layouts for OpenEvidence healthcare integrations.

The OpenEvidence Reference Architecture skill provides a comprehensive framework for designing and building secure, scalable clinical AI applications. It establishes a standardized project structure that separates concerns into dedicated layers for API logic, clinical services, HIPAA compliance, and EHR integrations. By utilizing this architecture, developers can ensure their healthcare applications follow industry best practices for PHI sanitization, audit logging, and FHIR-based workflows, significantly reducing the complexity of integrating OpenEvidence's clinical intelligence into existing medical environments.

Key Features

01OpenEvidence TypeScript client wrappers with built-in caching and monitoring

02Standardized six-layer architecture pattern for healthcare applications

03FHIR and CDS Hooks integration templates for EHR systems like Epic and Cerner

04Pre-configured HIPAA-compliant audit logging and PHI sanitization patterns

05Comprehensive directory structure for clinical validation and integration testing

061,440 GitHub stars

Use Cases

01Reviewing and refactoring healthcare project structures for scalability

02Designing new clinical decision support (CDS) tools using OpenEvidence

03Implementing secure EHR integrations for hospital-wide AI deployments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills openevidence-reference-architecture

For use in Claude.ai and ChatGPT

Download Skill

Key Features

01OpenEvidence TypeScript client wrappers with built-in caching and monitoring

02Standardized six-layer architecture pattern for healthcare applications

03FHIR and CDS Hooks integration templates for EHR systems like Epic and Cerner

04Pre-configured HIPAA-compliant audit logging and PHI sanitization patterns

05Comprehensive directory structure for clinical validation and integration testing

061,440 GitHub stars

Use Cases

01Reviewing and refactoring healthcare project structures for scalability

02Designing new clinical decision support (CDS) tools using OpenEvidence

03Implementing secure EHR integrations for hospital-wide AI deployments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills openevidence-reference-architecture

For use in Claude.ai and ChatGPT

Download Skill