31 providers spent weekends dictating charts for 100k annual visits. Now, AI drafts notes during exams, ending after-hours paperwork.
An established orthopedic group with 31 providers generating documentation for roughly 100,000 patient visits annually.
The practice relied on nine contracted transcriptionists billing by the line, driving annual costs close to $450,000 while forcing physicians to...
“Dictation became like this horrible thing — the thing that [physicians] disliked most.”
Orthopedic surgery and musculoskeletal care clinic for joint and sports medicine.
AI-powered virtual care platform for healthcare providers and patients.
Kennedy-White Orthopaedic Center's Medical scribing is part of this use case:
Related implementations across industries and use cases
Clinicians spent 3 hours nightly typing notes. Now, an AI scribe drafts records in seconds, restoring face-to-face patient care.
Reconstructing 30 cardiac consults from memory took an hour nightly. Now, an AI listener drafts notes live, ending after-hours charting.
Doctors faced cognitive strain from manual entry. Now, a mobile AI listens to consults and drafts notes for physicians to review.
Clinicians spent 3 hours nightly typing notes. Now, an AI scribe drafts records in seconds, restoring face-to-face patient care.
Reconstructing 30 cardiac consults from memory took an hour nightly. Now, an AI listener drafts notes live, ending after-hours charting.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
Space static broke standard tools, requiring manual logs. Custom models now run a real-time check and make archives searchable.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
31 providers spent weekends dictating charts for 100k annual visits. Now, AI drafts notes during exams, ending after-hours paperwork.
An established orthopedic group with 31 providers generating documentation for roughly 100,000 patient visits annually.
The practice relied on nine contracted transcriptionists billing by the line, driving annual costs close to $450,000 while forcing physicians to...
“Dictation became like this horrible thing — the thing that [physicians] disliked most.”
Orthopedic surgery and musculoskeletal care clinic for joint and sports medicine.
AI-powered virtual care platform for healthcare providers and patients.
Kennedy-White Orthopaedic Center's Medical scribing is part of this use case:
Related implementations across industries and use cases
Clinicians spent 3 hours nightly typing notes. Now, an AI scribe drafts records in seconds, restoring face-to-face patient care.
Reconstructing 30 cardiac consults from memory took an hour nightly. Now, an AI listener drafts notes live, ending after-hours charting.
Doctors faced cognitive strain from manual entry. Now, a mobile AI listens to consults and drafts notes for physicians to review.
Clinicians spent 3 hours nightly typing notes. Now, an AI scribe drafts records in seconds, restoring face-to-face patient care.
Reconstructing 30 cardiac consults from memory took an hour nightly. Now, an AI listener drafts notes live, ending after-hours charting.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
Space static broke standard tools, requiring manual logs. Custom models now run a real-time check and make archives searchable.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.