How to automate prior authorizations?
The forms are repetitive, the payers are slow, and the staff hours are measurable. Two of those three are fixable.
Answered in short
5 things that decide this
- 01Prior authorization automation covers four stages: extracting clinical facts from the chart, matching them to the payer's criteria, filling and submitting the request, and tracking status until a decision lands.
- 02The workload is documented: physician practices average around 40 prior authorizations per physician per week, consuming roughly 13 hours of staff time, per AMA survey data cited by Rivet Health and athenahealth.
- 03More than 90% of physicians say the process delays patient care, which makes turnaround time the metric that matters, not just staff hours.
- 04Much of the payer side still runs on portals and fax, so a real system automates those channels too, not only the modern APIs.
- 05Clinical judgement stays with clinicians. The software assembles and chases paperwork; it never decides what care is appropriate.
Thirteen hours a week of copying the chart into forms
A prior auth is mostly transcription. The diagnosis, the failed alternatives, the labs and the notes already exist in the record. Staff copy them into a payer form, one payer at a time, each with its own format and its own portal password.
Then comes the waiting. Status checks are phone calls and portal logins that produce no new information most days. A denied request restarts the loop as an appeal, with the same facts re-assembled by hand.
The cost is not only the 13 staff hours. Delayed authorizations postpone procedures, and postponed procedures are how a clinic's schedule and its patients both suffer for reasons nobody in the building controls.
- Detect needOrder placed, auth rule matched.
- Extract factsDiagnosis, history, from the EHR.
- Assemble requestPayer's form, payer's criteria.
- Human reviewStaff approve before it leaves.
- SubmitAPI, portal or fax bridge.
- Track and chaseStatus polled, delays escalated.
Review sits before submission on purpose. The clinic signs what leaves the building.
Build for the payers you actually bill
Start with volume, not coverage. Pull one quarter of authorization history and rank payers and procedures by count. Automating the top five payer-procedure pairs typically removes most of the hours, and the long tail can stay manual without hurting.
The EHR integration decides the ceiling. A system that reads the chart directly can assemble a request in minutes; one that needs staff to paste facts in has only moved the typing. Where the EHR is closed, extraction from documents and portal automation still carries most of the load.
This is protected health information end to end, so the build carries HIPAA obligations: business associate agreements across the chain, encryption, access logging, and model providers that do not train on your data.
Related questions
01Can automation decide whether a prior auth is needed?+
It can check the order against payer rules and answer yes, no, or unclear, which removes a daily lookup burden. The unclear cases go to a person. What it must never do is judge whether the care itself is appropriate; that judgement belongs to the clinician.
02What about payers that only take fax?+
Fax is a channel, not a blocker. The assembled request renders to the payer's form and transmits through a fax API, and inbound fax responses are read back into the tracking system. It is unglamorous engineering, and it is where many of the hours hide.
03How do appeals fit in?+
An appeal reuses the original request plus the denial reason, so a system that stored both can assemble the appeal package in minutes. Clinics that automate appeals report the discipline of structured denials data matters more than speed, because it shows which appeals are worth filing.
