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Search Clinical AI , found 19 results

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OpenEvidence CI Integration

openevidence-ci-integration

jeremylongshore/claude-code-plugins-plus-skills

Integrates OpenEvidence clinical AI testing into CI/CD pipelines by orchestrating GitHub Actions workflows, vitest unit/integration suites, and clinical validation checks so teams can automate clinical query verification with sandbox credentials and structured retries.

OpenEvidence Error Guide

openevidence-common-errors

jeremylongshore/claude-code-plugins-plus-skills

Comprehensive guide that explains how to diagnose and fix OpenEvidence API errors for clinical use, covering error code tables, custom error classes, handler wrappers, and retry/backoff tactics for failed requests.

OpenEvidence PHI Handling

openevidence-data-handling

jeremylongshore/claude-code-plugins-plus-skills

Implements HIPAA-compliant PHI detection, de-identification, encryption, retention, and audit trail logic for OpenEvidence clinical AI integrations to keep patient data safe before every API call.

OpenEvidence Deployment Integration

openevidence-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

Deploy OpenEvidence clinical AI integrations to healthcare production environments using GitHub Actions, canary releases, Kubernetes manifests, health checks, and rollback scripts to ensure safe rollouts.

OpenEvidence Enterprise RBAC

openevidence-enterprise-rbac

jeremylongshore/claude-code-plugins-plus-skills

Guides configuring OpenEvidence enterprise SSO, role-based permissions, and organization controls for clinical AI apps, covering role definitions, SAML/OIDC integration, middleware protection, session handling, and multi-tenant management.

OpenEvidence Incident Runbook

openevidence-incident-runbook

jeremylongshore/claude-code-plugins-plus-skills

Structured runbook for triaging, mitigating, and postmorteming OpenEvidence clinical AI outages in healthcare; guides responders through severity assessment, custom remediation, fallback messaging, and stakeholder communication.

OpenEvidence Dev Loop

openevidence-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

Guides setting up a local dev loop for OpenEvidence integrations with project scaffolding, env configs, mocked clients, hot-reload server, and test scripts tailored to clinical AI workflows.

OpenEvidence Migration Planning

openevidence-migration-deep-dive

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through complex OpenEvidence migrations, covering system assessments, parallel running, data transfer, EHR integration, multi-site configurations, and cutover checklists for clinical AI platforms.

OpenEvidence Multi Environment Setup

openevidence-multi-env-setup

jeremylongshore/claude-code-plugins-plus-skills

Coordinates environment configuration, secret management, promotion workflows, and health checks for OpenEvidence across development, staging, and production, ensuring smooth clinical AI deployments.

OpenEvidence Observability Setup

openevidence-observability

jeremylongshore/claude-code-plugins-plus-skills

Configure OpenEvidence clinical AI integrations with Prometheus metrics, OpenTelemetry tracing, structured logging, and Grafana dashboards so you can monitor health, latency, errors, cache behavior, and alerts.

OpenEvidence Production Readiness

openevidence-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

Structured production checklist guiding OpenEvidence clinical AI deployments through legal, security, infrastructure, monitoring, resilience, and testing milestones to ensure compliant launches and pre-deployment reviews.

OpenEvidence Rate Limits

openevidence-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

Controls OpenEvidence clinical API throughput by enforcing per-endpoint limits, prioritizing stat queries, and handling 429s with retries and backoff so latency-sensitive medical requests remain compliant and responsive.

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