Vervelo built a custom AI documentation layer on top of Grandview's existing EHR, eliminating physician burnout from after-hours charting within six months.
The Challenge
Grandview Hospital’s physicians were spending an average of 2.5 hours per day on clinical documentation — time taken away from patient care. The after-hours charting burden had become the leading cause of physician burnout and turnover, with 6 attending physicians leaving in a single year citing administrative load.
Their existing EHR had no voice-to-text or AI-assist capabilities, and the hospital’s IT team lacked the capacity to build an integration layer internally.
What We Built
AI-Assisted SOAP Note Generation
Vervelo integrated an ambient AI documentation engine that listens to the physician-patient encounter (with patient consent) and auto-generates a structured SOAP note. Physicians review, edit, and sign — typically in under 2 minutes.
Voice-to-Text with Clinical Vocabulary
Custom-trained speech recognition optimized for medical terminology, specialty-specific workflows (cardiology, internal medicine, oncology), and the hospital’s existing coding standards (ICD-10, CPT).
Auto-Coding Suggestions
The system surfaces probable ICD-10 and CPT codes based on the note content, reducing coder workload and accelerating billing cycles. Claims with AI-suggested codes had a 94% first-pass acceptance rate.
EHR Bi-Directional Sync
All AI-generated content flows directly into the hospital’s existing EHR via HL7 FHIR API, with full audit trails and no duplicate data entry.
Results at Six Months
- Documentation time reduced from 2.5 hrs/day to 68 minutes/day per physician — a 55% reduction
- After-hours charting dropped by 80% across all departments
- Physician Net Promoter Score increased by 47 points
- First-pass claims acceptance rate improved to 94%
- Estimated annual savings of $1.8M across reduced overtime, improved billing, and lower turnover costs
What the Client Said
“Our doctors came to work to treat patients, not to type. Vervelo gave them that back. The AI documentation alone has transformed morale across every department.”
— James Holloway, CIO, Grandview Hospital
Technology Stack
- AI/ML: Custom LLM fine-tuned on clinical notes, OpenAI Whisper (speech-to-text)
- Integration: HL7 FHIR R4, Epic SMART on FHIR
- Backend: Python (FastAPI), PostgreSQL
- Infrastructure: Azure HIPAA-compliant environment
