Transforming Clinician Workflows with AWS and Veradigm

Addressing the Clinician Burnout Challenge

The Problem: Clinicians Drowning in Paperwork

• Clinicians spend inordinate amounts of time on administrative tasks like filling forms, chasing documentation, and communicating with stakeholders
• For every 1 hour spent with patients, clinicians spend 2 hours on clinical documentation and administrative work
• This leads to clinician burnout, known as "pajama time" where they have to continue working after hours

The Opportunity: Leveraging AI and Data Foundations

• Solving the administrative burden for clinicians requires a combination of:
  • AI-ready data foundations to provide complete patient context
  • Purpose-built healthcare AI agents for specific tasks like clinical documentation, coding, etc.
  • Seamless integration into clinician workflows at the point of care

AWS and Veradigm's Collaborative Solution

AWS Healthcare AI and Data Services

• AWS offers customers secure healthcare data foundations through services like Amazon HealthLake
• These data stores ingest and normalize data from disparate sources into FHIR-based formats
• AWS also provides purpose-built AI services like Amazon HealthCribe for clinical documentation

Veradigm's Integration and Deployment

• Veradigm, through its Practice Fusion EHR, has integrated AWS HealthCribe and HealthLake into its platform
• Key benefits of the integration:
  • Allows seamless, low-friction deployment of AI-powered clinical documentation
  • Provides a secure, scalable data foundation to power AI agents and analytics

Amazon HealthCribe: AI-Powered Clinical Documentation

Key Capabilities

• Real-time clinical note generation from patient-clinician conversations
• AI safety guardrails to ensure notes are grounded in source data
• Point-of-care SDK for easy integration into clinician workflows

2025 Innovations

• Patient context integration to automatically populate note sections from EHR data
• Fine-tuned AI models for precise note generation and control
• New note templates and task integrations (e.g. patient-facing summaries)
• Support for 18+ new medical specialties

Veradigm's Deployment and Outcomes

Rationale and Approach

• Veradigm chose to deeply integrate HealthCribe and HealthLake into its Practice Fusion EHR
• This allowed them to build an economic model, get user feedback, and iterate quickly
• Leveraged AWS's responsible AI capabilities to ensure safety and trust

Clinician Outcomes

• Clinicians saved an estimated 2 hours per day using HealthCribe
• 65% of users needed no training to adopt the solution
• Clinicians reported increased patient focus and note quality satisfaction

The Future: AI-Enabled Healthcare Data and Workflows

HealthLake for Scalable, Compliant Data Foundations

• Veradigm is migrating to AWS HealthLake to:
  • Provide a scalable, performant data store for EHR and payer data
  • Enable AI clients to use HealthLake as a primary read store
  • Allow AI systems to write inferences back to HealthLake

Expanding AI Capabilities

• Plan to enable AI clients to leverage HealthLake as a primary data source
• Explore allowing AI systems to write inferences back to HealthLake as the system of record
• Integrate additional AI-powered capabilities like natural language querying into clinician workflows

Key Takeaways

• Solving clinician burnout requires a combination of AI-ready data foundations and purpose-built healthcare AI agents
• AWS and Veradigm's integrated solution leverages HealthCribe for clinical documentation and HealthLake for secure, scalable data management
• Clinicians using the solution reported significant time savings, ease of adoption, and improved patient focus
• The future vision involves expanding AI-powered capabilities built on a centralized, compliant data foundation in HealthLake