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.
After every patient, a chart waited. A head-to-head pilot across eight specialties proved AI could handle them—giving physicians time back.
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.
After every patient, a chart waited. A head-to-head pilot across eight specialties proved AI could handle them—giving physicians time back.
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.
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.
After every patient, a chart waited. A head-to-head pilot across eight specialties proved AI could handle them—giving physicians time back.
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.
After every patient, a chart waited. A head-to-head pilot across eight specialties proved AI could handle them—giving physicians time back.
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.