AI for Prior Authorization
Packet assembly and criteria matching, so submissions are complete the first time.
Prior authorization is the clearest example in healthcare of a process that is expensive for everyone and valuable to almost nobody. For a provider organisation it is also unusually automatable, because the work is assembling evidence against published criteria, which is exactly what retrieval systems are good at.
Why submissions fail
Most denials at first submission are not clinical disagreements. They are incomplete packets: a missing note, an absent trial-and-failure history, a criterion the payer publishes that the submitter did not check against. Each one costs a cycle, and a cycle is days of delayed care.
That makes completeness checking before submission the highest-return intervention available, and it needs no clinical judgement at all.
What the system does
It reads the payer's published criteria for the service, searches the patient record for the evidence those criteria require, assembles the packet, and reports what is missing before anyone submits.
Where evidence is absent it says so specifically rather than submitting hopefully. A named gap is actionable; a denial three days later is not.
- Match against the specific payer and plan criteria, which differ
- Pull supporting documentation from the record with citations
- Flag missing elements before submission, not after denial
- Draft the appeal from the denial reason where one still occurs
The PHI position
A prior authorization packet is comprehensive PHI: diagnoses, medications, clinical narrative and history. Assembling it through a third-party service is a substantial disclosure, which is why this is one of the use cases that most often decides an organisation on self-hosting.
What changes
The realistic gain is fewer submission cycles rather than instant approval. Payers still decide. What changes is that the first submission is complete, which removes the multi-day round trips that make up most of the elapsed time patients experience as a delay.
Related
Common questions
Can it submit automatically?
It can assemble and stage the submission. Whether it submits without review is your call, and most organisations keep a human check initially because an incomplete automated submission is worse than a slower complete one.
Do payer criteria change often enough to break this?
Yes, which is why criteria are retrieved rather than baked into the system. A build that hard-codes criteria is out of date within a quarter and confidently wrong in a way nobody notices.
Does this work for appeals too?
Appeal drafting from the denial reason is often the faster win, because denials are patterned and the appeals that succeed with a given payer are patterned too.
What about the payer side?
This page is written for providers. Payer-side automation carries a different and heavier regulatory position around adverse determinations, and it needs its own conversation.
Find out what this looks like for your organisation
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