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Deploy Abridge AI to HIPAA Compliant Cloud

abridge-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

This guide provides a comprehensive blueprint for deploying the Abridge clinical AI integration to highly secure, HIPAA-compliant cloud infrastructure. It covers best practices for healthcare deployments, including utilizing BAA-covered services (GCP Cloud Run), robust secret management via GCP Secret Manager, and implementing VPC-restricted networking for maximum data security.

Configure Abridge EHR Integration and Authentication

abridge-install-auth

jeremylongshore/claude-code-plugins-plus-skills

This guide details the process of setting up authentication and integration credentials for the Abridge clinical AI platform. It covers prerequisites for connecting to major EHR systems (Epic, Athena) using FHIR R4 APIs and implements OAuth 2.0 (SMART on FHIR) flows, ensuring secure, HIPAA-compliant data handling for ambient documentation.

Local Dev Loop For Clinical AI Integration

abridge-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

This workflow establishes a comprehensive local environment for developing and testing clinical AI integrations. It simulates an Electronic Health Record (EHR) using a local HAPI FHIR server and utilizes synthetic patient data. Developers can iterate on complex encounter workflows and API connections safely, without ever using real Protected Health Information (PHI).

Optimize Abridge AI Performance Tuning

abridge-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Provides structured methods and code examples to optimize Abridge's clinical AI integration for high-volume, enterprise deployments. Focuses on reducing critical latencies across the entire workflow, including audio streaming throughput, note generation pipelines, and secure FHIR push operations, ensuring scalability for large health systems.

Clinical AI Deployment Readiness Checklist

abridge-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive readiness checklist for deploying clinical AI systems, such as Abridge, within regulated healthcare environments. It covers critical aspects including HIPAA compliance, Business Associate Agreements (BAA), EHR integration validation (FHIR R4), robust infrastructure security (TLS 1.3, secrets management), and provides structured scripts for pre-launch validation and post-launch rollback planning.

Clinical AI Integration Reference Architecture

abridge-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

Provides a comprehensive architectural blueprint for integrating ambient AI solutions (Abridge) into multi-site health systems. It guides the full process from ambient audio capture to structured note generation, covering data flow, component design, FHIR R4 standards, HIPAA compliance, and integration patterns with major EHRs like Epic and Athena.

HIPAA Compliant Security for Abridge AI

abridge-security-basics

jeremylongshore/claude-code-plugins-plus-skills

This skill provides comprehensive guidance on implementing HIPAA-compliant security measures for Abridge clinical AI integrations. It covers critical areas such as enforcing TLS 1.3 encryption in transit, AES-256 encryption at rest, implementing role-based access controls (RBAC), detailed PHI-safe audit logging, and best practices for secrets management, ensuring full compliance with HIPAA regulations.

Abridge Integration Migration And Upgrade

abridge-upgrade-migration

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide detailing procedures for upgrading Abridge API versions and migrating between disparate Electronic Health Record (EHR) systems. It covers zero-downtime API versioning strategies (e.g., canary rollout) and outlines high-risk, multi-step procedures for ensuring seamless clinical documentation data continuity during EHR cutovers.

Abridge Webhook Event Processor

abridge-webhooks-events

jeremylongshore/claude-code-plugins-plus-skills

This module provides robust webhook handling for Abridge, managing critical clinical documentation lifecycle events. It ingests events such as note completion, encounter status changes, signing, and quality alerts. By implementing signature verification and idempotency checks, this system ensures reliable, secure integration of clinical data into external platforms like EHRs.

Deep Debugging Adobe API Integrations

adobe-advanced-troubleshooting

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive toolkit for debugging complex Adobe API issues that resist standard troubleshooting. Covers advanced techniques such as IMS token introspection, Firefly async job failure analysis, mapping PDF Services error codes, and deep network-layer diagnostics (DNS, TLS). Essential for resolving difficult, production-level integration bugs.

Configure Adobe CI/CD Pipelines

adobe-ci-integration

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to setting up CI/CD pipelines for Adobe API integrations. It covers secure OAuth credential management, unit testing, secret pattern scanning, and rigorous integration testing within GitHub Actions. Essential for maintaining high code quality in Adobe-integrated SaaS products.

Adobe API Error Diagnosis and Fixes

adobe-common-errors

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for diagnosing and resolving common technical errors across various Adobe APIs, including Firefly, PDF Services, and Photoshop. It provides detailed root causes and actionable fixes for common HTTP status codes (e.g., 401, 403, 429), helping developers troubleshoot complex integration issues and authentication failures.

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