Manual entry of faxed PDFs overwhelmed staff, causing errors and losing patients. Now, AI extracts data instantly to clear the backlog.
A Florida-based sleep diagnostics clinic managing roughly 400 patient referrals per month with a five-person manual intake team.
Manual processing of faxed PDFs created a one to two week referral turnaround time, causing the clinic to lose patients who required contact within...
“They would go too fast and end up deleting referrals instead of entering them. At which point we’d just have to hope the provider would send another fax.”
Sleep disorder diagnostic and treatment center.
AI-powered healthcare operations platform that automates referral management, fax processing, and document intake for medical practices.
Total Sleep Management's Patient referral processing is part of this use case:
Related implementations across industries and use cases
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
Staff spent days chasing faxes and hand-transcribing IDs. Now, AI extracts patient documents, verifies insurance, and alerts care teams.
Rising call volume outpaced staff capacity, creating a cycle of catching up. An AI agent now handles 7k calls a month, booking directly to the EHR.
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
A 10,000-document backlog delayed claims by two months. Now, custom AI extracts insurance data to push clean claims to the EHR.
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.
Manual entry of faxed PDFs overwhelmed staff, causing errors and losing patients. Now, AI extracts data instantly to clear the backlog.
A Florida-based sleep diagnostics clinic managing roughly 400 patient referrals per month with a five-person manual intake team.
Manual processing of faxed PDFs created a one to two week referral turnaround time, causing the clinic to lose patients who required contact within...
“They would go too fast and end up deleting referrals instead of entering them. At which point we’d just have to hope the provider would send another fax.”
Sleep disorder diagnostic and treatment center.
AI-powered healthcare operations platform that automates referral management, fax processing, and document intake for medical practices.
Total Sleep Management's Patient referral processing is part of this use case:
Related implementations across industries and use cases
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
Staff spent days chasing faxes and hand-transcribing IDs. Now, AI extracts patient documents, verifies insurance, and alerts care teams.
Rising call volume outpaced staff capacity, creating a cycle of catching up. An AI agent now handles 7k calls a month, booking directly to the EHR.
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
A 10,000-document backlog delayed claims by two months. Now, custom AI extracts insurance data to push clean claims to the EHR.
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.