Prior Authorization Automation
Automate the Approval. Never
Automate the Denial
The Challenge
Most of the elapsed time is spent waiting for documentation
The determination is a fraction of the cycle
Pending additional information is not a status
Volume nobody has reviewed
Criteria applied inconsistently
Turnaround requirements that differ by everything
Abrasion that never enters the business case
The highest-value automation is deciding not to require the authorization.
How It Works
Two outcomes are automatable. The third is not.
| Step | What Happens | Automatable |
|---|---|---|
| 1. Intake and Classification | Request received across channels, classified by service, member, product and urgency, with the applicable clock started immediately. | Yes |
| 2. Requirement Check | Determine whether authorization is actually required for this member, product, service and provider, including any exemption. | Yes, and it removes work entirely. |
| 3. Completeness Assessment | Establish what documentation the criteria require and what is present, before anything is requested from the provider. | Yes |
| 4. Documentation Retrieval | Retrieve available clinical documentation from connected sources before asking the provider for it. | Yes, and this is where most of the elapsed time is. |
| 5. Criteria Application | Compare the assembled evidence against the applicable criteria and establish whether they are clearly met. | Yes, as an assessment. |
| 6a. Clear Approval | Where criteria are plainly met, approve, notify and update downstream systems. | Yes |
| 6b. Anything Else | Route to a qualified clinical reviewer with the case assembled, the criteria applied and the gaps identified. | Never Automated |
| 7. Notification and Downstream | Determination communicated to provider and member, and authorization written to the systems that will adjudicate the claim. | Yes |
Retrieve before you request
Capabilities
Everything around the determination, and nothing that replaces it
The capabilities below are deliberately administrative. Each removes work from a reviewer, a provider or both, and none of them makes a clinical decision. That boundary is the design, not a limitation of the technology.
Reduce and Intake
Intake, Requirement and Exemption Determination
Clinical Document Intelligence
Completeness Assessment
Assemble and Assess
Documentation Retrieval
Criteria Application
Case Chronology
Case Assembly for Review
Auto-Approval Within Configured Criteria
Manage and Close
Turnaround Management
Missing Information Workflow
Provider Communication
Downstream Write-Back
Pattern and Volume Analytics
What CaliberFocus does, and does not do?
Where It Applies?
Start where criteria are objective and approval rates are already high
| Category | Why It Fits or Does Not | Where to Start |
|---|---|---|
| High-Approval Routine Services | Objective criteria, retrievable documentation, most requests approved. | Best starting point, and the first candidates for removing the requirement altogether. |
| Imaging and Diagnostics | Criteria are usually explicit and evidence is structured. | Strong. Auto-approval where criteria are met, clinical review for the rest. |
| Elective Procedures | Criteria explicit, documentation substantial but retrievable. | Strong for retrieval and assembly. Determinations remain clinical. |
| Specialty Drugs | Complex criteria, step therapy history, frequent policy change. | Assembly and criteria application help considerably. Approval automation only where criteria are unambiguous. |
| Behavioural Health | Sensitive, criteria involve judgement, documentation is confidentiality-constrained. | Administrative support only. Handle documentation under stricter rules. |
| Urgent and Expedited Requests | Compressed clocks, higher consequence of delay. | Prioritization and retrieval matter most. The shorter clock raises the cost of any error. |
| Anything Likely to Result in Denial | The consequence of being wrong is a member harm event. | Clinical reviewer, always, with the case assembled for them. |
Gold Carding Is an Automation StrategyGold Carding Is an Automation Strategy
Control
The asymmetry governs the design
| Outcome | Who Decides | What the System Contributes |
|---|---|---|
| Not Required | System, against configured rules | Determines the service does not require authorization for this member and provider. |
| Approved, Criteria Clearly Met | System, within configured limits | Applies objective criteria to assembled evidence and issues the approval. |
| Approved, Judgement Involved | Clinical Reviewer | Assembles the case, applies criteria, identifies gaps, recommends. |
| Additional Information Needed | System may request, reviewer may direct | Determines precisely what is missing, having exhausted retrieval first. |
| Denied or Partially Denied | Qualified Clinical Reviewer Only | Assembles evidence and applies criteria. Issues nothing. |
| Appeal Outcome | Authorized Reviewer under Appeal Authority | Prepares the case and tracks the statutory clock. Issues nothing. |
Auto-approval limits you set
Criteria applied, not interpreted
The reviewer sees the evidence
Override capture as quality signal
Reviewer disagreement is recorded and analysed. Consistent patterns indicate criteria or extraction problems.
The review point is designed
Clinical governance owns the rules
No confidence score makes a denial automatable.Collide
Integration
Clinical documentation access is the whole problem
Utilization management platform
Core administration platform
Clinical documentation sources
Provider channels
Criteria and policy sources
Medical policy and criteria content maintained as versioned assets, since a criteria change alters what the system may auto-approve.
Claims and downstream systems
Retrieve before requesting, always
Confirm the downstream state
Provenance retained through extraction
Integration failure becomes visible workflow work
Sensitive documentation handled under stricter rules
Trust
The clock starts whether or not you are ready
Turnaround management
- Per workflow: applicable request category, timing rule, start event, current state, time consumed, time remaining, escalation threshold, owner and completion event, determined at intake and visible throughout
- Prioritization driven by time remaining rather than by receipt order, with escalation before a deadline is at risk
- A manual fallback for any component whose failure would put a regulated deadline at risk
Clinical governance
- Policy separated from workflow execution. Timing requirements, criteria and rules held as configurable, versioned, approved, effective-dated and auditable assets, so a requirement change is a configuration release rather than a development project
- Auto-approval scope defined and reviewed by clinical leadership, with change control and a stated review cadence
- Consistency of outcome measured across reviewers and over time, as a quality programme rather than a report
- Adverse determinations attributable to a named qualified reviewer acting under their own authority
Auditability
- For any case: when the request arrived, what came with it, what was missing, what outreach occurred, what returned, what evidence was presented for review, who determined it, when, what communication was issued, whether downstream systems updated, and whether it completed within the applicable requirement. That is an audit trail. A list of system events is not
- Every extracted clinical value traceable to its source document, so an assessment can be verified rather than accepted
- Information requests logged with what was asked, why, and what had already been retrieved before asking
- Override and escalation patterns retained and analysed, since they are the first indicator of a criteria or extraction problem
Operational control
- Auto-approval can be paused, narrowed by service, stepped down to act-on-approval or draft, or routed entirely to review when policy changes, accuracy deteriorates or an integration destabilizes, without disabling unrelated workflows
- Six named owners per workflow: business, clinical, operational, technical, data and compliance oversight
- Monitoring of outcome rather than execution, since a case can process correctly and still reach the wrong state
- Provider abrasion tracked as an operational measure: information requests per case, repeat contact and appeal volume
Measure abrasion or you will only see the savings.
Outcomes
Volume removed, time removed, friction removed
| Category | What We Measure | Why It Matters |
|---|---|---|
| Volume Removed | Requests eliminated by requirement review and provider exemption | The only outcome that reduces cost on both sides permanently. |
| Elapsed Time | Time to determination, and specifically time spent awaiting documentation | The second number is where the cycle actually goes. |
| Retrieval Effectiveness | Documentation obtained without a provider request, and information requests per case | The single largest lever on both cycle time and abrasion. |
| Reviewer Time | Time per case spent on judgement versus on assembly | The clinical capacity measure, and the one reviewers will judge it on. |
| Timeline Compliance | Turnaround performance by case type, and cases identified at risk before breach | The exposure, and why the clock belongs in routing. |
| Abrasion | Repeat contact, appeal volume from authorization decisions, provider enquiry volume | The cost that appears in contracting rather than in operations. |
| Consistency | Similar cases reaching similar outcomes, and override rate on assembled recommendations | The quality measure most likely to be examined. |
Two findings are likely and both are uncomfortable.
Automate the administrative work around prior authorization
Start with the clinical workflow, not the ambient AI platform.
Bring us a specialty or clinical setting where clinicians are spending too much time creating notes. We will assess where ambient documentation fits, what must remain clinician controlled, how it should integrate with your EHR, and how to measure whether it is actually reducing burden.
- AI Agents and Workflow Automation
- Voice and Conversational AI
- Document AI and Intelligent Processing
- Generative AI and Enterprise Copilots
- AI Strategy and Governance
- HCC and Risk Adjustment Analytics
Security & Compliance
