United StatesHealthcare and life sciences2024 – ongoing

Sayvant

Generative AI charting and discharge instructions for emergency departments

Startup Sayvant reports 50,000 emergency clinician hours saved across nearly 70 sites

WorkingVendor's case studyVendor ↗

Problem

Emergency clinicians spend about 10 minutes per patient on charting, which slows care and discharge.

Approach

Sayvant built a tool on Azure OpenAI Service that transcribes clinician-patient conversations in near real time in more than 30 languages. It produces charts for clinician review and personalized discharge instructions. The private beta started in summer 2024, and the system is designed to meet SOC 2 and HIPAA requirements.

Results

50,000 hoursemergency clinician hours savedVendor's case study[1]

10 minutes to under 90 secondscharting time per patientVendor's case study[1]

40%reduction in discharge delays at one siteVendor's case study[1]

Takeaway

A company of fewer than 50 staff reached about 70 live sites in under nine months, per Microsoft's account. The hours and adoption claims are not independently checked.

Sources

Sayvant customer story (Azure OpenAI Service)
Microsoft16 Apr 2025Vendor publication

Source summaries

[1]Microsoft16 Apr 2025

Microsoft describes a startup's Azure-based AI charting tool for emergency care. It lists sites live, shifts completed and time saved.

Full details are in the original sources.

Added 25 Oct 2026 · Updated 25 Oct 2026