50–72% Reduction in Documentation Time — Validated in Clinical Deployment
Physicians review an AI-prepared note in 5–10 minutes, not 30–90.
Physicians lose 49.2% of the workday to EHR work — only 27% goes to patients.
Physicians review an AI-prepared note in 5–10 minutes, not 30–90.
Concurrent CDI analysis closes documentation gaps before the note is finalised.
Encryption, least-privilege access, BAA coverage and immutable audit logs by design.
Six capability pillars — from ambient capture and SOAP note generation to CDI analysis and revenue cycle intelligence.
For a 200-physician practice, one hour saved per physician per day unlocks $2M–$5M in annual encounter capacity. Bonami's agent reduces documentation time by 50–72% and captures every billable diagnosis through concurrent CDI analysis.
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An AI medical scribe listens to the encounter and drafts a structured SOAP note in real time. Physicians sign in 5–10 minutes.
It drafts the note, runs a CDI gap check, and generates discharge and prior auth documents — the physician signs.
One tap starts ambient capture — no dictation. A SOAP note waits in the EHR; documentation drops to 3–8 minutes.
Studies report 95%+ capture of key clinical facts, with physician-in-the-loop review covering any gaps.
Epic, Oracle Cerner, Meditech Expanse, athenahealth and Allscripts, via SMART on FHIR R4 read and write-back.
Before signing, it flags unspecified ICD-10 codes, undocumented CC/MCC and secondary diagnoses as ACDIS queries.
AES-256 encrypted audio, no PHI retained after the session, immutable audit logs and a BAA before deployment.
Yes — HCC capture flags chronic conditions missing from the note, lifting risk score capture 8–15%.
50–72% less documentation time, lower attrition, CDI uplift and fewer denials — payback inside the first quarter.
Scribe software needs dictation or a human transcriber; ambient documentation drafts the note from natural speech.
It runs as clinical documentation software inside the EHR, writing the signed note back as the official record.