Charts followed providers home after every 12-hour shift, for years. Ambient AI ended it: 90% of notes now done before they leave.
One of the fastest-growing urgent care networks in the United States, with over 180 walk-in centers across multiple states and accreditation earned by fewer than 10% of urgent care facilities nationwide.
Providers routinely finished charting at home after long shifts, a pattern leadership described as having persisted 'literally forever' and a direct...
“Doing your charts at home, which was our existence literally forever, leads to burnout. It leads to time away from your family and your personal time being shot.”
Walk-in urgent care and occupational medicine clinics.
Healthcare technology company building an operating system for healthcare, integrating clinical workflows, EHR data, and AI-powered tools.
WellNow Urgent Care's Clinical documentation is part of this use case:
Related implementations across industries and use cases
Typing notes created late-night backlogs and downcoding risks. Now, AI drafts records in real time while doctors focus on patients.
Manual documentation drove physician burnout. Now, ambient AI drafts notes during visits, easing cognitive load and restoring patient focus.
Doctors faced cognitive strain from manual entry. Now, a mobile AI listens to consults and drafts notes for physicians to review.
Typing notes created late-night backlogs and downcoding risks. Now, AI drafts records in real time while doctors focus on patients.
Manual documentation drove physician burnout. Now, ambient AI drafts notes during visits, easing cognitive load and restoring patient focus.
Manual EHR reviews and false alarms overloaded clinicians. Now, AI delivers plain-language patient summaries and early-warning alerts.
Typing notes broke eye contact and caused late nights. Now, AI drafts records from spoken exam findings so vets stay present.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Charts followed providers home after every 12-hour shift, for years. Ambient AI ended it: 90% of notes now done before they leave.
One of the fastest-growing urgent care networks in the United States, with over 180 walk-in centers across multiple states and accreditation earned by fewer than 10% of urgent care facilities nationwide.
Providers routinely finished charting at home after long shifts, a pattern leadership described as having persisted 'literally forever' and a direct...
“Doing your charts at home, which was our existence literally forever, leads to burnout. It leads to time away from your family and your personal time being shot.”
Walk-in urgent care and occupational medicine clinics.
Healthcare technology company building an operating system for healthcare, integrating clinical workflows, EHR data, and AI-powered tools.
WellNow Urgent Care's Clinical documentation is part of this use case:
Related implementations across industries and use cases
Typing notes created late-night backlogs and downcoding risks. Now, AI drafts records in real time while doctors focus on patients.
Manual documentation drove physician burnout. Now, ambient AI drafts notes during visits, easing cognitive load and restoring patient focus.
Doctors faced cognitive strain from manual entry. Now, a mobile AI listens to consults and drafts notes for physicians to review.
Typing notes created late-night backlogs and downcoding risks. Now, AI drafts records in real time while doctors focus on patients.
Manual documentation drove physician burnout. Now, ambient AI drafts notes during visits, easing cognitive load and restoring patient focus.
Manual EHR reviews and false alarms overloaded clinicians. Now, AI delivers plain-language patient summaries and early-warning alerts.
Typing notes broke eye contact and caused late nights. Now, AI drafts records from spoken exam findings so vets stay present.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.