Burnout above 40% as documentation forced a choice: patient or chart. Dragon Copilot drafts notes in 20 seconds; clinicians stay present.
Rhode Island's largest health system, serving about 1 million people, that has been rapidly expanding through hospital acquisitions and physician practice mergers since 2024.
Clinician burnout had become a defining operational crisis, with rates exceeding 40% in some specialties, driven largely by documentation demands...
“Now, I can focus on what I think is going on with you and hearing you and being with you. The documentation is happening in parallel with engagement with the patient.”
Academic health system and medical provider network in Rhode Island.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Brown University Health's Clinical documentation is part of this use case:
Related implementations across industries and use cases
Clinicians spent 1-2 hours after shifts typing notes. Now, AI drafts records from natural dialogue, restoring eye contact with patients.
Clinicians lost hours typing patient charts. Now, an AI assistant listens to visits and auto-drafts clinical notes in the EHR.
Heavy documentation drove severe burnout. Ambient AI scribes automate 18,000 weekly notes, cutting after-hours work for 74% of providers.
Clinicians spent 1-2 hours after shifts typing notes. Now, AI drafts records from natural dialogue, restoring eye contact with patients.
Clinicians lost hours typing patient charts. Now, an AI assistant listens to visits and auto-drafts clinical notes in the EHR.
Integration projects stretched over months, waiting on scarce specialists at each stage. Axon now guides teams through every step in place.
Manual follow-ups delayed hiring while uninformed hires drove 80% turnover. Now, an AI agent screens, educates, and auto-schedules.
Managing documentation across 65 sites bottlenecked a central team. Now, Claude synthesizes data and coaches local directors on compliance.
Fragmented data and manual workflows slowed care. Now, AI helps staff optimize surgical scheduling and physicians diagnose rare diseases.
Burnout above 40% as documentation forced a choice: patient or chart. Dragon Copilot drafts notes in 20 seconds; clinicians stay present.
Rhode Island's largest health system, serving about 1 million people, that has been rapidly expanding through hospital acquisitions and physician practice mergers since 2024.
Clinician burnout had become a defining operational crisis, with rates exceeding 40% in some specialties, driven largely by documentation demands...
“Now, I can focus on what I think is going on with you and hearing you and being with you. The documentation is happening in parallel with engagement with the patient.”
Academic health system and medical provider network in Rhode Island.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Brown University Health's Clinical documentation is part of this use case:
Related implementations across industries and use cases
Clinicians spent 1-2 hours after shifts typing notes. Now, AI drafts records from natural dialogue, restoring eye contact with patients.
Clinicians lost hours typing patient charts. Now, an AI assistant listens to visits and auto-drafts clinical notes in the EHR.
Heavy documentation drove severe burnout. Ambient AI scribes automate 18,000 weekly notes, cutting after-hours work for 74% of providers.
Clinicians spent 1-2 hours after shifts typing notes. Now, AI drafts records from natural dialogue, restoring eye contact with patients.
Clinicians lost hours typing patient charts. Now, an AI assistant listens to visits and auto-drafts clinical notes in the EHR.
Integration projects stretched over months, waiting on scarce specialists at each stage. Axon now guides teams through every step in place.
Manual follow-ups delayed hiring while uninformed hires drove 80% turnover. Now, an AI agent screens, educates, and auto-schedules.
Managing documentation across 65 sites bottlenecked a central team. Now, Claude synthesizes data and coaches local directors on compliance.
Fragmented data and manual workflows slowed care. Now, AI helps staff optimize surgical scheduling and physicians diagnose rare diseases.