Skill UI

This skill helps healthcare organizations optimize their Abridge AI spending. It provides structured analysis across provider utilization, session waste detection, and ROI calculation. Use it when reviewing complex billing statements, optimizing contract tiers, or ensuring maximum return on investment for AI adoption.

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.

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.

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.

This guide demonstrates best practices for implementing robust API rate limiting, backoff strategies, and session throttling patterns. It provides solutions for handling common API quota issues, such as 429 errors, and managing high volumes of concurrent encounters. It is essential for building stable, high-throughput systems in SaaS and healthcare environments.

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.

This pattern library provides production-ready, structured patterns for integrating with the Abridge clinical AI API. It establishes type-safe client wrappers, implements mandatory HIPAA-compliant audit logging (ensuring no Protected Health Information, or PHI, is logged), and incorporates robust error handling with exponential backoff retries. Use this when building secure, scalable, and standards-compliant healthcare AI applications.

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.

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.

This skill guides the design, implementation, and auditing of inclusive digital products based on WCAG 2.2 standards. It covers the POUR principles and provides technical guidance for generating semantic ARIA (Web) and native accessibility traits (iOS/Android). Use it when defining UI components, auditing compliance gaps, or ensuring robust keyboard navigation and focus management.

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.

This guide details configuring enterprise-grade Role-Based Access Control (RBAC) for Adobe services. It covers integrating Adobe Admin Console with external Identity Providers (Azure AD, Google Workspace) using SCIM provisioning, automating user provisioning via the User Management API (UMAPI), and defining custom product profiles to enforce fine-grained, centralized permissions across the organization.