Same encounter charted across systems; visiting specialists burned 20% of rare visits on notes. Now that time goes to patients.
The only inpatient pediatric rehabilitation facility in Oklahoma, a 160-bed center serving children ages 0 to 21 with an average length of stay of about two years and multi-specialist teams that often treat the same patient simultaneously.
Providers spent 2 to 3 hours charting after each shift, and visiting specialists from other hospitals spent about 20% of their limited visit time on...
“Our goal was to get rid of multi-pass documentation. If you're a provider, nurse, or therapist, you ask a question, the patient answers, you cogitate, you ask another question, you document, then you refer back to some other document, and then you continue to document.”
Pediatric rehabilitation hospital offering inpatient and outpatient care.
Healthcare technology company building an operating system for healthcare, integrating clinical workflows, EHR data, and AI-powered tools.
Bethany Children's Health Center's Clinical documentation is part of this use case:
Related implementations across industries and use cases
Manual documentation drove physician burnout. Now, ambient AI drafts notes during visits, easing cognitive load and restoring patient focus.
Manual notes reduced face-to-face time. Ambient AI now drafts records instantly, keeping doctors focused on patients.
Clinicians spent 3 hours nightly typing notes. Now, an AI scribe drafts records in seconds, restoring face-to-face patient care.
Manual documentation drove physician burnout. Now, ambient AI drafts notes during visits, easing cognitive load and restoring patient focus.
Manual notes reduced face-to-face time. Ambient AI now drafts records instantly, keeping doctors focused on patients.
High case volumes bottlenecked symptom triage. Now, an AI agent instantly filters routine inquiries, freeing vet staff for urgent care.
Manual EHR reviews and false alarms overloaded clinicians. Now, AI delivers plain-language patient summaries and early-warning alerts.
Associates manually routed complex tickets and managed 47K product tags. Now, AI agents triage requests and classify attributes.
Fragmented data and manual workflows slowed care. Now, AI helps staff optimize surgical scheduling and physicians diagnose rare diseases.
Same encounter charted across systems; visiting specialists burned 20% of rare visits on notes. Now that time goes to patients.
The only inpatient pediatric rehabilitation facility in Oklahoma, a 160-bed center serving children ages 0 to 21 with an average length of stay of about two years and multi-specialist teams that often treat the same patient simultaneously.
Providers spent 2 to 3 hours charting after each shift, and visiting specialists from other hospitals spent about 20% of their limited visit time on...
“Our goal was to get rid of multi-pass documentation. If you're a provider, nurse, or therapist, you ask a question, the patient answers, you cogitate, you ask another question, you document, then you refer back to some other document, and then you continue to document.”
Pediatric rehabilitation hospital offering inpatient and outpatient care.
Healthcare technology company building an operating system for healthcare, integrating clinical workflows, EHR data, and AI-powered tools.
Bethany Children's Health Center's Clinical documentation is part of this use case:
Related implementations across industries and use cases
Manual documentation drove physician burnout. Now, ambient AI drafts notes during visits, easing cognitive load and restoring patient focus.
Manual notes reduced face-to-face time. Ambient AI now drafts records instantly, keeping doctors focused on patients.
Clinicians spent 3 hours nightly typing notes. Now, an AI scribe drafts records in seconds, restoring face-to-face patient care.
Manual documentation drove physician burnout. Now, ambient AI drafts notes during visits, easing cognitive load and restoring patient focus.
Manual notes reduced face-to-face time. Ambient AI now drafts records instantly, keeping doctors focused on patients.
High case volumes bottlenecked symptom triage. Now, an AI agent instantly filters routine inquiries, freeing vet staff for urgent care.
Manual EHR reviews and false alarms overloaded clinicians. Now, AI delivers plain-language patient summaries and early-warning alerts.
Associates manually routed complex tickets and managed 47K product tags. Now, AI agents triage requests and classify attributes.
Fragmented data and manual workflows slowed care. Now, AI helps staff optimize surgical scheduling and physicians diagnose rare diseases.