Clinicians lost hours typing patient charts. Now, an AI assistant listens to visits and auto-drafts clinical notes in the EHR.
The largest nonprofit health system in the Intermountain West, operating 34 hospitals, over 400 clinics, and employing 68,000 caregivers with nearly a million emergency visits annually.
Clinicians relied on a patchwork of speech tools, dictation, and EHR templates that fell short of addressing the core problem: documentation...
“Since we first implemented Dragon Copilot, the technology has progressed from a virtual documentation tool to a broader ambient listening platform. As we integrate artificial intelligence and advanced data, this tool will simplify the care we deliver and improve the quality of care and experience for our patients and our communities.”
Nonprofit health system providing medical services and hospital care in the Western US.
Designed and executed Dragon Copilot adoption strategy and training for Intermountain
Enterprise software, cloud infrastructure, and consumer electronics platform.
Intermountain 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.
Burnout above 40% as documentation forced a choice: patient or chart. Dragon Copilot drafts notes in 20 seconds; clinicians stay present.
Clinicians lost 19.1 hours a week to after-hours paperwork. Now, AI drafts notes during visits so providers can focus on patients.
Clinicians spent 1-2 hours after shifts typing notes. Now, AI drafts records from natural dialogue, restoring eye contact with patients.
Clinicians lost 19.1 hours a week to after-hours paperwork. Now, AI drafts notes during visits so providers can focus on patients.
Charting ate into patient time and kept nurses late. Ambient listening now captures notes in real time as they move room to room.
Reports read one by one, cohorts assembled in spreadsheets—weeks of work. Now physicians ask in plain language; answers arrive in seconds.
Engineers combed through 1,000-page packages to verify steel traceability codes. AI now extracts and matches them in minutes; they validate.
Fragmented data and manual workflows slowed care. Now, AI helps staff optimize surgical scheduling and physicians diagnose rare diseases.
Clinicians lost hours typing patient charts. Now, an AI assistant listens to visits and auto-drafts clinical notes in the EHR.
The largest nonprofit health system in the Intermountain West, operating 34 hospitals, over 400 clinics, and employing 68,000 caregivers with nearly a million emergency visits annually.
Clinicians relied on a patchwork of speech tools, dictation, and EHR templates that fell short of addressing the core problem: documentation...
“Since we first implemented Dragon Copilot, the technology has progressed from a virtual documentation tool to a broader ambient listening platform. As we integrate artificial intelligence and advanced data, this tool will simplify the care we deliver and improve the quality of care and experience for our patients and our communities.”
Nonprofit health system providing medical services and hospital care in the Western US.
Designed and executed Dragon Copilot adoption strategy and training for Intermountain
Enterprise software, cloud infrastructure, and consumer electronics platform.
Intermountain 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.
Burnout above 40% as documentation forced a choice: patient or chart. Dragon Copilot drafts notes in 20 seconds; clinicians stay present.
Clinicians lost 19.1 hours a week to after-hours paperwork. Now, AI drafts notes during visits so providers can focus on patients.
Clinicians spent 1-2 hours after shifts typing notes. Now, AI drafts records from natural dialogue, restoring eye contact with patients.
Clinicians lost 19.1 hours a week to after-hours paperwork. Now, AI drafts notes during visits so providers can focus on patients.
Charting ate into patient time and kept nurses late. Ambient listening now captures notes in real time as they move room to room.
Reports read one by one, cohorts assembled in spreadsheets—weeks of work. Now physicians ask in plain language; answers arrive in seconds.
Engineers combed through 1,000-page packages to verify steel traceability codes. AI now extracts and matches them in minutes; they validate.
Fragmented data and manual workflows slowed care. Now, AI helps staff optimize surgical scheduling and physicians diagnose rare diseases.