Prior authorization and claims work often looks like a payer problem from the outside. Inside the team, it is usually a workflow problem first.

A request needs eligibility checked. Evidence is missing. A clinical note does not support the requested service clearly enough. A payer portal has a different status from the internal tracker. Someone needs to call the payer. Someone else needs to ask for a document. A denial comes back with a reason that is not mapped to the original packet. The patient is waiting, the service team is waiting, and the operations lead is trying to understand which cases are stuck because of the payer, the provider, the patient, or the internal process.

More automation can help, especially as electronic prior authorization standards and payer integrations improve. But the first practical win is usually simpler: make every authorization or claims case visible, complete, owned, and tied to the next action.

This guide is for healthcare operators, patient access teams, billing teams, revenue-cycle teams, admin leaders, and care operations teams that want fewer mystery queues and less manual chasing around authorizations, claims status, denials, and payer follow-up.

What the workflow is supposed to do

A prior authorization and claims workflow should answer a few operational questions quickly:

  • Does this service, visit, medication, procedure, referral, or claim need review by the payer?
  • Do we have the right patient, payer, plan, provider, service, code, date, and supporting documentation?
  • What evidence has been submitted, and where is it stored?
  • What is the current payer status?
  • Who owns the next action?
  • What is the due date or follow-up date?
  • If denied or pended, what is the reason and what can be done next?

If the workflow cannot answer those questions, the team ends up with portal checking, phone queues, spreadsheet updates, repeated document requests, and cases that age quietly until someone escalates them.

The practical test

Pick one authorization or claim that is stuck. Can someone see the payer status, evidence submitted, missing items, denial or pending reason, owner, next action, and follow-up date without opening five tabs and asking two people? If not, the workflow needs more structure.

How the workflow usually happens today

Most teams already have several pieces of the process. The trouble is that the pieces do not always connect.

A typical path looks like this:

  1. A service, medication, procedure, visit, referral, or claim is identified as needing payer review or follow-up.
  2. Staff check eligibility, payer rules, benefits, authorization requirements, and patient or plan details.
  3. Clinical/admin evidence is gathered from notes, referral packets, orders, imaging, labs, forms, or previous authorizations.
  4. The request or claim is submitted through a payer portal, clearinghouse, EHR, practice-management system, fax, phone, or integrated tool.
  5. Status is checked manually or electronically: submitted, pending, approved, partially approved, denied, needs more information, appealed, paid, rejected, or closed.
  6. Missing information, payer requests, denials, appeals, or resubmissions are routed to the right owner.
  7. The patient, provider, billing team, scheduling team, or care team is updated where needed.

The workflow breaks when each step leaves a little context behind. The request exists in one system, evidence in another, status in a payer portal, follow-up in a spreadsheet, and patient impact in someone's inbox.

Where the workflow breaks

Authorization need is identified too late

If the team only discovers the authorization requirement after scheduling, care planning, or service preparation, the workflow starts from a delay. The first fix is to identify authorization needs as early as possible from payer, service, plan, provider, and appointment context.

Evidence is collected case by case

When evidence requirements live in staff memory, each case becomes a fresh hunt. The team needs practical evidence checklists by service type, payer, plan, procedure, medication, or claim category where possible.

Status does not mean the same thing everywhere

"Pending" in the payer portal may mean waiting on payer review, missing clinical information, waiting on provider response, or waiting on a call. Internally, those are different operational states. The workflow needs to translate payer statuses into internal statuses and next actions.

Denial reasons are not structured

Denials and rejections are useful only if the reason is captured clearly. Missing documentation, eligibility issue, coding issue, medical-necessity language, duplicate claim, timely filing, non-covered service, and payer-specific rules all need different responses.

Follow-up depends on manual chasing

Prior authorization and claims work has a cadence: check status, follow up, resubmit, appeal, notify, escalate, close. If that cadence is not built into the workflow, staff spend too much time remembering what to chase.

What good looks like

A good workflow gives the team a controlled operating view of authorization and claims cases. It does not need to replace every payer portal or revenue-cycle tool. It does need to show the case, status, evidence, owner, next action, and due date.

1. A clean case queue

Every authorization or claims item should enter a queue with enough information to manage it.

Authorization and claims case fields

  • Patient and payer: patient ID, payer, plan, member details, eligibility status.
  • Service or claim: service type, procedure, medication, visit, claim, provider, location, date.
  • Requirement: authorization required, claim follow-up required, appeal needed, missing info request, or denial review.
  • Evidence: order, note, diagnosis/context, imaging/labs, referral, supporting documents, prior treatment, payer form.
  • Payer status: submitted, pending, approved, denied, more information requested, appealed, paid, rejected, closed.
  • Internal status: ready to submit, waiting on evidence, waiting on payer, waiting on provider, waiting on patient, needs appeal, escalated, resolved.
  • Owner and cadence: owner, role queue, next action, due date, last contact, follow-up count.

2. Evidence checklists by use case

The workflow should make it clear what evidence is normally required. This is where teams can reduce rework quickly.

For example, one workflow might need referral documents and eligibility. Another might need clinical notes, prior treatment, imaging, diagnosis context, order details, and payer-specific forms. Claims follow-up may need claim number, denial code, remittance detail, original submission date, corrected claim details, and appeal deadline.

3. Internal statuses that drive action

Payer statuses are not enough. The team needs internal statuses that determine action. "Waiting on payer" is different from "waiting on provider evidence" or "appeal due." Good statuses make the next step obvious.

4. Denial and exception reason taxonomy

Denials, rejections, and pended cases should be grouped into practical reasons. This helps staff route the case and helps leaders see recurring problems.

Common categories include missing documentation, eligibility issue, authorization required, insufficient medical-necessity evidence, coding mismatch, duplicate submission, timely filing, payer portal issue, patient information mismatch, and internal handoff delay.

5. Follow-up and escalation rules

Each case should have a next action and date. The workflow should also define escalation triggers: urgent service date, repeated payer non-response, appeal deadline approaching, high-value claim, patient access risk, or repeated denial reason.

6. Reporting that shows flow, not just volume

Useful reporting includes age by status, cases by owner, missing evidence reasons, denial reasons, appeal outcomes, payer response time, cases near service date, and claims at risk of timely filing.

The data you usually need

The data is practical. The value comes from connecting it early enough to reduce rework.

Data area Examples Why it matters
Patient and eligibility Patient ID, plan, member details, eligibility status, benefits, coverage notes Prevents avoidable payer friction and wrong-plan work.
Service or claim context Provider, location, service date, procedure, medication, diagnosis/context, claim ID Defines what needs authorization, follow-up, or review.
Evidence and documentation Orders, notes, referral documents, imaging, labs, prior treatment, payer forms Shows whether the request or appeal is ready to submit.
Payer interaction Submission channel, reference number, payer status, call notes, portal messages Creates traceability and reduces repeated status checking.
Denial or exception reason Missing evidence, coding issue, eligibility issue, medical necessity, timely filing Routes the case to the right owner and reveals repeated root causes.
Workflow ownership Owner, queue, next action, due date, escalation state, closure reason Turns payer/admin work into visible operating work.

The tools and systems involved

Prior authorization and claims workflows usually cross several systems:

  • EHR and clinical documentation: orders, notes, medical context, attachments, provider details.
  • Practice-management and scheduling: appointments, service dates, locations, provider schedules, patient demographics.
  • Eligibility and payer tools: plan details, benefits, authorization requirements, payer status, portal messages.
  • Clearinghouse and claims systems: claim submissions, rejections, remittance data, claim status, payer responses.
  • Document stores: evidence packets, forms, faxes, imaging/lab attachments, appeal letters.
  • Task and workflow tools: queues, owners, follow-up dates, escalations, audit trail.
  • Dashboards or data warehouse: age by status, denial reasons, payer performance, owner workload, revenue at risk.

The best first workflow usually connects just enough of these systems to make the queue reliable. Perfect integration can come later.

Where AI can help

AI can help when it is used to prepare, classify, extract, and route work inside a controlled process.

Useful AI support includes:

  • extracting payer, patient, service, and evidence details from documents;
  • summarizing clinical/admin evidence for review;
  • checking whether an evidence packet appears complete against an internal checklist;
  • classifying payer responses, denial reasons, and missing-information requests;
  • drafting payer follow-up notes, appeal outlines, or patient/admin messages for review;
  • flagging cases near service date, appeal deadline, or timely-filing risk;
  • summarizing queue themes for weekly operating review.

AI should not be treated as the authority on coverage, medical necessity, coding, or appeal strategy. It can prepare the work. Qualified human owners still need to review meaningful decisions and payer-facing submissions.

Where human review still matters

Human review matters anywhere a wrong decision can affect access, billing, patient communication, or compliance.

People should own authorization submission readiness, clinical evidence review, coding or billing interpretation, appeal strategy, patient-facing communication, payer escalation, and closure decisions. The workflow should show the facts clearly enough that review is faster and safer.

What to fix first

Do not start with every payer and every service line. Start where the rework is most visible.

Good first candidates include:

  • high-volume authorization requests: useful when standard evidence checklists can remove repeated chasing;
  • services frequently delayed by missing information: useful when patient access is affected;
  • denials with repeated reasons: useful when the team can fix documentation, coding, or submission patterns;
  • claims stuck in status follow-up: useful when portal checking and calls consume too much time;
  • appeals with deadline risk: useful when ownership and cadence need to be clearer.

Pick one lane. Define the evidence checklist, internal statuses, denial reasons, owners, and follow-up cadence. Then build the queue around that.

A 30/60/90 day implementation path

First 30 days: make the cases visible

  • Select one authorization or claims lane.
  • Map how cases enter, what systems hold evidence, who checks payer status, and where follow-up is tracked.
  • Create a case queue with patient, payer, service/claim, status, owner, next action, due date, and evidence readiness.
  • Define internal statuses and denial/exception categories.
  • Review the queue weekly for oldest cases, missing evidence, urgent service dates, and repeated blockers.

Days 31 to 60: connect evidence and follow-up

  • Build evidence checklists for the chosen lane.
  • Add structured fields for payer reference numbers, submission channel, status, denial reason, appeal date, and closure reason.
  • Add AI-assisted extraction or summarization where staff spend time reading documents or payer responses.
  • Create follow-up and escalation rules.
  • Start reporting queue age, missing evidence reasons, denial mix, and owner workload.

Days 61 to 90: reduce repeated rework

  • Identify the top recurring denial or missing-evidence reasons.
  • Update intake, documentation, coding, scheduling, or referral steps upstream to reduce preventable cases.
  • Connect additional payer/status data where the manual work is still high.
  • Review AI-assisted outputs against human decisions and adjust validation rules.
  • Expand to another payer, service type, or claims lane once the first one is stable.

By day 90, the team should have a workflow that shows what is stuck, why it is stuck, who owns it, and what should happen next.

Common mistakes

The first mistake is automating payer submission without fixing evidence readiness. Faster submission does not help if the packet is incomplete.

The second mistake is relying on payer statuses without translating them into internal actions. The team needs to know what to do, not only what the portal says.

The third mistake is hiding denial reasons in notes. Denial and exception reasons should be structured enough to report on and fix.

The fourth mistake is treating claims follow-up as separate from upstream documentation. Many claims issues begin with intake, eligibility, documentation, coding, or authorization gaps.

The fifth mistake is adding AI before ownership and validation are clear. AI can extract and summarize, but the team still needs rules for review, submission, appeals, and closure.

How Ubisar would approach it

Ubisar would start with one authorization or claims workflow where delays, rework, or revenue risk are visible. We would map the current path from eligibility and evidence through submission, status follow-up, denial handling, appeal, and closure.

Then we would build the operating layer: case queue, evidence checklist, status model, owner rules, denial taxonomy, follow-up cadence, reporting, integrations, and AI support for extraction, summarization, classification, and draft follow-up where it helps.

The goal is not to promise magic payer automation. It is to reduce manual chasing, make cases reviewable, and help the team fix the upstream issues that keep creating authorization and claims friction.

This workflow connects closely to patient intake, documentation support, care coordination, operational reporting, and patient communications. For the broader operating model, see our healthcare workflow page or the AI, Data & Tech Implementation Retainer.

Sources and useful references