Location: Tampa, FL

Specialties: Primary Care, Functional Medicine

Number of Providers: 5

Number of Patients Enrolled: 800

Median Patient Age: 56

Date: 2025

Introduction

The clinic was an early adopter of AI-powered ambient voice scribe technology, using Elation Note Assist to streamline physician documentation. While Note Assist significantly reduced the time clinicians spent on manual note entry, gaps remained in capturing accurate patient histories and structured data. The clinic introduced the Valhalla platform to enhance pre-visit data collection and provide high-quality contextual inputs to support ambient scribing tools.

Methodology

• Patients were sent Valhalla digital intake forms three days before their appointments, collecting comprehensive histories, screeners, and structured symptom data.

• Patients who had not completed their forms prior to the visit used clinic-provided tablets for on-site intake.

• The structured intake data was then fed into Elation Health’s Note Assist, which uses AI to generate clinical notes from ambient physician-patient conversations.

• Providers were surveyed for perceived accuracy, workflow efficiency, and cognitive load reduction.

  
  

Results

• Providers reported a measurable improvement in the accuracy and completeness of AI-generated notes due to Valhalla’s context-rich pre-charting.

• Note Assist more effectively differentiated between chronic and acute issues when Valhalla intake data was integrated.

• Clinical documentation required fewer corrections and less manual input, allowing providers to focus more on patient care.

• The combination of Valhalla and Note Assist reduced total documentation time by over 50%, outperforming either solution used independently.

Conclusion

Valhalla’s structured intake platform and Elation Health’s AI scribe, Note Assist, are not competing technologies—they are complementary. Valhalla enhances ambient voice transcription tools by supplying high-quality, structured context before the visit begins. This synergy reduces errors, improves chart accuracy, and accelerates documentation, resulting in a superior experience for clinicians and patients alike. Clinics seeking to optimize both patient data capture and clinical documentation workflows benefit most when these technologies are deployed together.