Intake paperwork
Staff retype what the patient or the referral already sent, then chase the fields that did not land in the chart.
Healthcare
Intake, billing, and follow-up without the after-hours work.
We still build for clinics and case management. The pattern is the same as the floor or the warehouse: keep the CRM or EHR, take the repetitive entry off the team, and put a person on anything that faces a patient.
Where the week goes
Billing review
End of month is a scramble because wait time, expenses, and notes were captured differently by each person.
No-shows and confirmations
There is no reliable text or email loop, so the schedule fills with visits that were never confirmed.
Notes after the visit
The work with the patient is done. The work in the system is still two hours deep.
What we typically connect
- CRM or EHR — around it, not instead of it
- Scheduling and confirmations
- Billing capture and review
- Follow-up texts and email
Related results
Field Case Managers
A nationwide nurse case management team cut hours of post-visit data entry and messy billing by adding a verification dashboard on top of their legacy CRM.
$594,000
cumulative operating cost savings over 18 months
Questions
Common questions
Short answers to what people ask first.
Is AI HIPAA compliant?
AI is not HIPAA compliant by default. A public chat window is not a covered system. OTR hosts on infrastructure we control in Miami, built for HIPAA from the start: encrypted automations, gated access, and a person who signs off before anything reaches a patient. The CRM or EHR stays. The repetitive entry does not.
What is automation in healthcare?
It is software that runs intake, confirmations, billing capture, and follow-up so clinicians are not retyping after the visit. OTR builds that for clinics and case management teams around the CRM or EHR they already run. Field Case Managers saved 264 hours a year this way. A person still faces the patient.
Which AI is HIPAA compliant?
The system whose hosting, access, and sign-off match HIPAA, not the model brand on the box. OTR's Miami-hosted systems are built for HIPAA and SOC 2. Patient data shapes how we host and how we ship. Nothing patient-facing goes out without a person. A generic cloud chatbot does not get that by default.
What is patient intake management?
Intake management is collecting what the patient or referral already sent, landing it in the chart, and chasing only the gaps. OTR automates the retype step for clinics and case teams, then a person reviews before it is written. Scheduling confirmations sit on the same workflow so the book is not full of unconfirmed visits.
Best cloud AI for reducing clinic hold times?
A public cloud bot is the wrong default for patient data. OTR runs local models on servers we host in Miami, with HIPAA and SOC 2 practices. Confirmations go out by text and email so the phone is not the only front door. Field Case Managers used that pattern to cut preventable no-shows.
Can AI automate medical billing and coding?
It can standardize capture so billing review is a check, not a scramble. OTR did that for Field Case Managers: wait time, expenses, and notes land in one place, a person confirms, then the CRM is updated. We do not replace the coder's judgment. We take the copy-paste that delayed the bill.
Get the hours back without adding headcount.
Book a demo to see how a custom system would run on your operation, and how we handle implementation so your team uses it.