Clinical Documentation Automation

Ascendion's Clinical Documentation Automation is a professional services engagement that deploys a multi-modal agentic AI pipeline on AWS, transforming manual clinical workflows into automated, FHIR-compliant documentation processes. Built on AWS HealthLake, Amazon Transcribe Medical, and Amazon Comprehend Medical, this solution captures patient encounters in real time, generates structured SOAP notes with generative AI, assigns accurate ICD-10 codes, and pushes records directly to EHR and payor systems.

The agentic AI pipeline operates in four stages:

• Real-Time Transcription: Amazon Transcribe Medical captures clinician-patient encounters as they happen, eliminating manual note-taking.
• SOAP Note Generation: Generative AI extracts and structures transcribed content into standardized SOAP notes automatically.
• Automated ICD-10 Coding: Amazon Comprehend Medical assigns accurate diagnosis and procedure codes with full audit trails.
• FHIR Integration: Completed records are transformed into FHIR DocumentReference resources and pushed to Epic, Cerner, or other EHR systems via AWS HealthLake.

Unlike single-model documentation tools that require manual coding review steps or lack real-time FHIR push capabilities, Ascendion's agentic pipeline chains multiple specialized AI services together. Each stage operates autonomously while adapting to updated codes and clinical rules, delivering end-to-end automation rather than point solutions that still require human intervention between steps.

• 50-70% reduction in documentation time, freeing clinicians to focus on patient care rather than paperwork
• Reduced claim denials through accurate auto-coding with complete audit trails
• Instant FHIR interoperability that eliminates data silos and scales to petabyte-level health data on HealthLake

This professional services engagement follows a phased approach:

1. Discovery and Scoping (2-3 weeks): Assessment of current documentation workflows, EHR environment, data volumes, and integration requirements. Deliverables include a solution design document and implementation roadmap.
2. Pilot Deployment (4-6 weeks): Configuration and deployment of the AI pipeline in a controlled clinical environment. Includes model tuning, integration testing with your EHR, and accuracy validation against sample encounters.
3. Production Rollout: Full deployment across target departments or facilities, including clinician training, go-live support, and performance monitoring.
4. Handoff and Documentation: Delivery of runbooks, architecture documentation, and operational guides for your team.

• Active AWS account with HealthLake access
• EHR system with API access (Epic, Cerner, or FHIR-compatible systems)
• Clinical subject matter experts available for validation during pilot
• IT staff for access provisioning and integration coordination

All clinical data is processed within a HIPAA-compliant AWS architecture. The solution leverages AWS HealthLake's built-in HIPAA eligibility, encryption at rest and in transit, and IAM-based access controls. Audit trails are maintained for all coding decisions and data transformations, supporting compliance reviews and payer audits.

Ideal for hospitals, health systems, telemedicine providers, and precision medicine organizations facing documentation strain and seeking to reduce clinician burnout while improving coding accuracy and revenue cycle performance.

To get started, request a clinical workflow assessment or book a demo to see the pipeline in action with your encounter data.