Quick answer: You set up automated prior authorizations in AdvancedMD by mapping your current PA workflow, picking the highest-volume payer and order combinations to automate first, choosing between AdvancedMD Marketplace add-ons and a dedicated AI prior authorization agent, connecting that automation to the chart and payer portals, and defining escalation rules so exceptions route to staff. Then you run it in parallel with your manual process, measure turnaround before and after, and expand once the touchless rate holds. The whole rollout is a sequence, not a switch you flip.
Start by mapping what your PA process actually does today
Before automating anything, write down how a prior authorization moves through your practice right now. Most groups have never documented this, which is exactly why automation projects stall — you can't automate a workflow you can't describe.
Trace one auth end to end. Who notices an order needs authorization? Where do they look up the payer's requirements? Which portal or fax line do they use? How does status get checked, and how does the approved auth number get back onto the encounter? Note every handoff and every place work waits.
Then quantify it. The 2025 AMA prior authorization survey found practices average about 40 prior authorization requests per physician per week and roughly 13 hours of staff and physician time. Pull your own number from AdvancedMD: count auth-required orders per month and time a sample of them end to end. That baseline is what you'll measure against later, and it's also the number that justifies the project to a partner or board.
The output of this step is a one-page map: trigger, documentation, submission channel, follow-up, write-back. Everything that follows automates pieces of that map.
Pick the first workflow to automate — don't boil the ocean
Automation works best when you start narrow and prove it, then widen. Trying to automate every payer and every order type on day one is the surest way to a stalled rollout.
Sort your PA volume two ways: by payer and by order type. You're looking for the intersection that's high-volume and rules-stable — the same handful of payers and the same procedures or drugs that generate most of your authorizations. For a primary care group that might be advanced imaging and a few high-cost drugs; for a specialty practice it's whatever procedures dominate the schedule.
- High volume, stable rules — automate first. This is where the hours are, and the payer rules don't move much.
- High volume, messy rules — automate second, once the system has learned your payer mix.
- Low volume, complex — leave manual for now. The setup effort isn't worth it yet.
Starting with one or two payers and one or two order types gives you a clean test. You can measure the touchless rate on a defined slice, build staff trust, and expand from a position of evidence rather than hope.
Choose your automation layer: Marketplace add-on or dedicated agent
AdvancedMD gives you two paths to automation, and they're not mutually exclusive. Knowing the difference keeps you from overbuying or underbuilding.
AdvancedMD already automates electronic prior authorization for ePrescribing natively — prescribers can request authorization inside the prescribing workflow before a medication reaches the pharmacy. If most of your PA pain is medication-related, turn this on and configure it before buying anything else.
For medical authorizations — imaging, procedures, infusions — you'll look at the AdvancedMD Marketplace and at dedicated AI prior authorization agents. Marketplace apps are pre-integrated, which shortens setup; a dedicated agent platform often covers more of the payer mix, including the portal and fax volume that never goes electronic. The 2025 CAQH Index found only 40% of medical prior authorizations are fully electronic, so coverage of the non-electronic 60% is the question that matters most. Ask any candidate which of your top ten payers it processes touchlessly today. This is where Honey Health's Prior Authorization agent fits — it works alongside AdvancedMD across electronic, portal, and fax channels rather than only the electronic slice.
Connect the automation to AdvancedMD and your payer portals
Once you've chosen a tool, the technical setup is about three connections: reading from the chart, submitting to payers, and writing status back.
The agent should read orders and clinical data from AdvancedMD through a standard interface — HL7 or FHIR — rather than asking staff to copy data into a separate app. It needs the same inputs your coordinators gather: codes, demographics, member ID, provider NPIs, and the notes supporting medical necessity. Confirm the integration method for your AdvancedMD configuration and get a realistic timeline; most implementations land in a 30–60 day range depending on integration depth.
On the submission side, the tool needs credentials and access to the payer portals your practice uses, plus fax capability for the payers that still require it. This is also where security gets nailed down: any vendor touching protected health information should be HIPAA-compliant, BAA-ready, and ideally HITRUST-certified. Get the business associate agreement signed before go-live, not after.
The third connection — write-back — is the one practices underweight and later regret skipping. The agent should write status and approved auth numbers back into the AdvancedMD work queue and onto the encounter, so your team sees current state without logging into anything. If a tool can submit but can't write back cleanly, your staff ends up reconciling two systems by hand, which erases much of the savings.
Set escalation rules so the right cases reach a human
Automation isn't all-or-nothing. The setup step that separates a smooth rollout from a frustrated team is defining, up front, exactly which cases the system handles and which it hands off.
Build your escalation rules around confidence and category. High-confidence, routine auths submit automatically. Anything the system isn't sure about — missing documentation, an unusual code, a payer rule it can't resolve — routes to a person with a clear note on why. And three categories should always escalate by design:
- Peer-to-peer reviews, which need a clinician on the phone with the payer's medical director.
- Medical-necessity judgment calls on borderline or off-label cases.
- Appeals strategy on high-dollar denials, where a revenue cycle lead decides which fights are worth having.
Then name an owner for the exception queue. A flagged-cases queue that someone checks every morning gets worked same-day; an orphaned queue quietly becomes your new backlog. Decide who owns it before go-live, and make sure that person has time carved out — you're not eliminating the PA role, you're shrinking and sharpening it.
Run in parallel, measure, then expand
Don't cut over cold. Run the automation alongside your manual process for a few weeks and audit the agreement rate before you trust it with auto-submission. You want to watch it handle your real payer mix and your actual orders, not a vendor's clean demo data.
Track a small set of numbers against the baseline you built in step one. Re-run your time sample at 30, 60, and 90 days and watch five metrics: the touchless rate (share of auths completed with no staff touch), staff hours on PA, auth turnaround time, the auth-related denial rate, and cost per auth. Model the touchless rate at 75–85%, never 100% — real volume always includes peer-to-peers and judgment calls. And model year-one savings on about ten months, since the first quarter runs below steady state while the system learns your payers.
Once the first slice holds its numbers, expand to the next payer-and-order combination from your map. Practices that treat go-live as a shared tuning project hit their modeled numbers; those that treat it as done usually leave a third of the return unclaimed. The expansion is where the project pays off — the setup work you did on the first slice is the template for every one after it.
Frequently asked questions
How do you set up automated prior authorizations in AdvancedMD?
Map your current PA workflow, pick the highest-volume payer and order combinations to automate first, choose between AdvancedMD's native ePA, a Marketplace app, or a dedicated AI agent, connect it to the chart and payer portals through HL7 or FHIR, set escalation rules for exceptions, then run it in parallel and measure turnaround before scaling.
Does AdvancedMD automate prior authorization on its own?
Partly. AdvancedMD automates electronic prior authorization for ePrescribing inside the prescribing workflow and flags auth-required services on the billing side. Medical authorizations that run through payer portals and fax usually need a Marketplace app or a dedicated AI agent, since only about 40% of medical PAs are fully electronic industry-wide.
How long does it take to set up PA automation?
Most implementations land in a 30–60 day range depending on your integration method and payer mix, plus a parallel-validation period of a few weeks before you trust auto-submission. Cloud-friendly FHIR integrations move faster than legacy HL7 interface work, so confirm the timeline for your specific AdvancedMD setup.
Which prior authorizations should we automate first?
Start with the intersection of high volume and stable payer rules — the handful of payers and order types that generate most of your auths. Prove the touchless rate on that slice, build staff trust, then expand to messier payers. Leave low-volume, complex auths manual until the system has learned your mix.
What still needs a human after we automate?
Peer-to-peer reviews, medical-necessity judgment calls, and appeals strategy on high-dollar denials stay with your clinicians and revenue cycle staff. Good setup routes these to a named exception owner with documentation attached, so the human starts from a complete file rather than rebuilding it from scratch.
How do we prove the automation is working?
Set a baseline before launch, then track five metrics at 30, 60, and 90 days: touchless rate, staff hours on PA, auth turnaround time, auth-related denial rate, and cost per auth. Model the touchless rate at 75–85% and year-one savings on about ten months to account for the tuning quarter.
