Heavy charting forced clinicians to type during visits or after hours. Now, ambient AI drafts EHR notes, restoring patient connections.
A Canadian healthcare system delivering care to over 1.2 million people across three regions, employing more than 13,000 staff including 2,700 physicians and residents.
Growing administrative workloads forced clinicians to either type notes during encounters, creating a physical barrier with patients, or document...
“People’s resiliency is what allowed hospitals to continue providing excellent care during the pandemic. We wanted to tackle one of the challenges that puts those people under pressure. These people didn’t go into healthcare just to chart—it’s so important to document your encounters and interventions, but that comes at a cost: increased workloads.”
Academic health sciences center and research hospital serving Eastern Ontario.
Enterprise software, cloud infrastructure, and consumer electronics platform.
The Ottawa Hospital'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.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
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.
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.
Manual maintenance reports and routine purchases bottlenecked staff. AI agents now accurately classify faults and recommend suppliers.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.
Heavy charting forced clinicians to type during visits or after hours. Now, ambient AI drafts EHR notes, restoring patient connections.
A Canadian healthcare system delivering care to over 1.2 million people across three regions, employing more than 13,000 staff including 2,700 physicians and residents.
Growing administrative workloads forced clinicians to either type notes during encounters, creating a physical barrier with patients, or document...
“People’s resiliency is what allowed hospitals to continue providing excellent care during the pandemic. We wanted to tackle one of the challenges that puts those people under pressure. These people didn’t go into healthcare just to chart—it’s so important to document your encounters and interventions, but that comes at a cost: increased workloads.”
Academic health sciences center and research hospital serving Eastern Ontario.
Enterprise software, cloud infrastructure, and consumer electronics platform.
The Ottawa Hospital'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.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
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.
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.
Manual maintenance reports and routine purchases bottlenecked staff. AI agents now accurately classify faults and recommend suppliers.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.