R1, a healthcare revenue cycle management company, has agreed to acquire Humata Health, a startup specializing in AI-powered prior authorizations. The deal, expected to close in the third quarter, is designed to push R1 closer to its goal of automating the full claims process - including the preapproval step that often delays care and burdens providers.
The Utah-based company processes over 600 million transactions annually across a network of 1,000 providers. Its billing platform already consolidates multiple software tools into one system. Adding Humata's AI technology extends that automation into the prior authorization process, which R1 says is one of the remaining bottlenecks in getting providers paid.
What Humata brings
While R1 focuses broadly on claims processing, Florida-based Humata Health is dedicated exclusively to prior authorizations. Founded in 2023 by a Mayo Clinic-trained physician, Humata's AI product identifies insurer policies, creates prior authorization requests, and tracks them through final approval. The company reports a first-pass approval rate of up to 96% on prior authorizations.
"Humata significantly enhances our coverage of the authorization process," R1 CEO Joe Flanagan said in a statement.
Financial terms of the deal were not disclosed. After the close, Humata's team will begin integrating its technology into R1's revenue cycle platform.
The prior authorization problem
Prior authorization has long been a flashpoint in healthcare. Patients describe the preapprovals as a burden. Providers say the process adds administrative work and delays care. Insurers argue the checks are necessary to control healthcare spending.
R1 says the acquisition should help providers reduce paperwork and improve their bottom lines. It also positions the company to meet growing regulatory and industry pressure for faster decisions.
In 2024, the federal government finalized a rule requiring insurers to speed up prior authorization decisions and adopt electronic preapproval technology. Last summer, the Trump administration secured voluntary commitments from insurers that at least 80% of electronic prior authorization approvals will be answered in real time next year.
Other healthcare IT companies are moving in the same direction. Electronic health record company Epic launched a tool this week that lets clinicians instantly check whether an insurer requires prior authorization.
Why this matters for healthcare professionals
For medical billers and revenue cycle staff, the acquisition signals that AI will increasingly handle the repetitive parts of prior authorization work. That shifts the job from manually tracking down insurer policies and submitting paperwork to reviewing AI-generated requests and managing exceptions.
For clinicians, faster prior authorization decisions mean less waiting on hold and fewer delays in starting treatment. But the transition will require training as new tools integrate into existing workflows. Professionals who understand how AI for Healthcare tools work will be better positioned to adapt as these systems reach their organizations.
There's also a skills angle. As revenue cycle companies like R1 automate more of the process, billers who can work alongside AI systems - rather than compete with them - will have an edge. That's where structured training in AI for Medical Billers becomes relevant, especially for those who want to stay ahead of the workflow changes headed their way.
Your membership also unlocks:
