Clinicians spent hours forcing non-linear consults into rigid EHRs. Now, ambient AI drafts structured notes, freeing time for urgent care.
A private outpatient mental health clinic in Central London with over 35 specialists treats highly complex conditions ranging from anxiety to bipolar disorder.
Mental health consultations are highly non-linear, but existing electronic health record structures required rigid, formulaic data entry. Clinicians...
“Heidi has cut our documentation time by up to 50%, freeing us to focus on patient care whilst reducing administrative stress.”
Private hospital providing specialized mental health and eating disorder care.
AI-powered virtual care platform for healthcare providers and patients.
Schoen Clinic's Clinical documentation is part of this use case:
Related implementations across industries and use cases
Physicians prioritized typing over treatment. Ambient AI now drafts notes from audio, so they simply review and sign off.
Clinicians lost hours each evening manually typing notes. Now, AI transcribes live sessions, returning that time directly to patient care.
Back-to-back clinics delayed complex notes for days. Now, an ambient AI scribe instantly structures reports, keeping clinicians focused.
Physicians prioritized typing over treatment. Ambient AI now drafts notes from audio, so they simply review and sign off.
Clinicians lost hours each evening manually typing notes. Now, AI transcribes live sessions, returning that time directly to patient care.
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.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Clinicians spent hours forcing non-linear consults into rigid EHRs. Now, ambient AI drafts structured notes, freeing time for urgent care.
A private outpatient mental health clinic in Central London with over 35 specialists treats highly complex conditions ranging from anxiety to bipolar disorder.
Mental health consultations are highly non-linear, but existing electronic health record structures required rigid, formulaic data entry. Clinicians...
“Heidi has cut our documentation time by up to 50%, freeing us to focus on patient care whilst reducing administrative stress.”
Private hospital providing specialized mental health and eating disorder care.
AI-powered virtual care platform for healthcare providers and patients.
Schoen Clinic's Clinical documentation is part of this use case:
Related implementations across industries and use cases
Physicians prioritized typing over treatment. Ambient AI now drafts notes from audio, so they simply review and sign off.
Clinicians lost hours each evening manually typing notes. Now, AI transcribes live sessions, returning that time directly to patient care.
Back-to-back clinics delayed complex notes for days. Now, an ambient AI scribe instantly structures reports, keeping clinicians focused.
Physicians prioritized typing over treatment. Ambient AI now drafts notes from audio, so they simply review and sign off.
Clinicians lost hours each evening manually typing notes. Now, AI transcribes live sessions, returning that time directly to patient care.
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.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.