Skip to content
All case studies

Healthcare · 2024

Ambient AI that gave clinicians their evenings back

An ambient documentation assistant, built to clinical and HIPAA standards, cut charting time by 42% across 14 hospitals.

A regional health systemHealthcare · 14 hospitals

42%Reduction in after-hours documentation
88%Clinician acceptance after 90 days
1.7hReclaimed per clinician per day
0PHI exposure incidents during pilot

Client

A regional health systemHealthcare · 14 hospitals

Technology stack

AzureFHIRKubernetesOn-prem inferenceAudit logging

ROI

Recruitment and retention savings alone exceeded platform cost in year one.

Client overview

A regional health system faced clinician burnout and attrition driven largely by after-hours documentation. Leadership wanted ambient AI that reduced charting without compromising clinical accuracy or privacy.

Business challenge

Build a clinically reliable ambient documentation assistant under HIPAA, integrate it with the EHR, and prove measurable time savings and clinician acceptance across a dispersed hospital network.

Approach

We led vendor selection, designed the privacy architecture (on-prem inference for PHI, de-identification, and audit logging), integrated with the EHR via FHIR, and ran a measured pilot with clinician feedback loops before scaling.

Business impact

Documentation load fell sharply, clinician satisfaction improved, and the system retained staff it was previously losing to burnout. The privacy architecture became a reusable pattern adopted for subsequent AI initiatives.

Let's talk about the decision that decides the next decade.

If the problem matters enough to warrant experienced leaders, it matters enough to start the conversation.