A 10-person ops team manually transcribed faxes into EMRs. Now, an AI model extracts and routes data directly, clearing the backlog.
A comprehensive sleep health provider relying on a 10-person operations team to manage manual patient intake and daily referral processing.
Patient intake workflows required extensive manual data entry and constant fax wrangling to move information into the electronic medical record...
“RPA works, it’s great, but they’re not very adaptable. If I put a process in place and then change something, updating the RPA is challenging and we have to tell them exactly what to do or it comes out wrong.”
Virtual sleep clinic for sleep apnea diagnosis, home testing, and therapy support.
AI-powered healthcare operations platform that automates referral management, fax processing, and document intake for medical practices.
BetterNight's Patient referral processing is part of this use case:
Related implementations across industries and use cases
Manual entry of faxed PDFs overwhelmed staff, causing errors and losing patients. Now, AI extracts data instantly to clear the backlog.
Staff manually entered faxed referrals across multiple portals, creating backlogs. Now, AI extracts the data and handles follow-ups.
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
Manual entry of faxed PDFs overwhelmed staff, causing errors and losing patients. Now, AI extracts data instantly to clear the backlog.
Staff manually entered faxed referrals across multiple portals, creating backlogs. Now, AI extracts the data and handles follow-ups.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
Manual maintenance reports and routine purchases bottlenecked staff. AI agents now accurately classify faults and recommend suppliers.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.
A 10-person ops team manually transcribed faxes into EMRs. Now, an AI model extracts and routes data directly, clearing the backlog.
A comprehensive sleep health provider relying on a 10-person operations team to manage manual patient intake and daily referral processing.
Patient intake workflows required extensive manual data entry and constant fax wrangling to move information into the electronic medical record...
“RPA works, it’s great, but they’re not very adaptable. If I put a process in place and then change something, updating the RPA is challenging and we have to tell them exactly what to do or it comes out wrong.”
Virtual sleep clinic for sleep apnea diagnosis, home testing, and therapy support.
AI-powered healthcare operations platform that automates referral management, fax processing, and document intake for medical practices.
BetterNight's Patient referral processing is part of this use case:
Related implementations across industries and use cases
Manual entry of faxed PDFs overwhelmed staff, causing errors and losing patients. Now, AI extracts data instantly to clear the backlog.
Staff manually entered faxed referrals across multiple portals, creating backlogs. Now, AI extracts the data and handles follow-ups.
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
Manual entry of faxed PDFs overwhelmed staff, causing errors and losing patients. Now, AI extracts data instantly to clear the backlog.
Staff manually entered faxed referrals across multiple portals, creating backlogs. Now, AI extracts the data and handles follow-ups.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
Manual maintenance reports and routine purchases bottlenecked staff. AI agents now accurately classify faults and recommend suppliers.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.