{"id":23461,"date":"2026-06-19T10:05:45","date_gmt":"2026-06-19T10:05:45","guid":{"rendered":"https:\/\/engineerbabu.com\/blog\/?p=23461"},"modified":"2026-06-19T10:05:45","modified_gmt":"2026-06-19T10:05:45","slug":"prior-authorization-automation-platform","status":"publish","type":"post","link":"https:\/\/engineerbabu.com\/blog\/prior-authorization-automation-platform\/","title":{"rendered":"How to Build a Prior Authorization Automation Platform – CMS-0057-F, Payer APIs, AI Criteria Engine 2026"},"content":{"rendered":"

Prior authorisation costs the US healthcare system <\/span>$1.3 billion annually<\/span><\/a>. Manual PA costs $10.97 per transaction. Full automation drops it to $5.79. CMS’s Interoperability and Prior Authorization Final Rule (CMS-0057-F) effective January 2026 mandates that Medicare Advantage plans, Medicaid managed care organisations, and QHP issuers respond to standard PA requests within 7 calendar days and urgent requests within 72 hours.<\/span><\/p>\n

There are approximately 1,100 US payers. Each has its own PA code list, submission portal, clinical criteria, and rules. Only 31% of medical PAs were fully electronic as of the most recent CAQH Index.<\/span><\/p>\n

The platform that changes this handles commercial medical PAs that require portal logins, phone calls, and judgment not just pharmacy PAs that legacy vendors have automated.<\/span><\/p>\n

EngineerBabu has built healthcare platforms for Apollo Hospitals, Somnoware (acquired by ResMed), and US digital health clients. Google AI Accelerator 2024. Contact: <\/span>mayank@engineerbabu.com<\/span><\/a><\/p>\n

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Module 1 – EHR Integration and Clinical Data Extraction<\/b><\/h2>\n

Every PA starts with clinical data living in the EHR. The platform integrates via SMART on FHIR to extract what is needed for each PA without re-entry.<\/span><\/p>\n

What the platform extracts from the EHR:<\/b><\/p>\n\n\n\n\n\n\n\n\n\n\n
Data Element<\/b><\/td>\nFHIR Resource<\/b><\/td>\nPurpose in PA<\/b><\/td>\n<\/tr>\n
Patient demographics<\/span><\/td>\nPatient<\/span><\/td>\nPayer member ID lookup<\/span><\/td>\n<\/tr>\n
Insurance coverage<\/span><\/td>\nCoverage<\/span><\/td>\nWhich payer, which plan<\/span><\/td>\n<\/tr>\n
Diagnosis codes<\/span><\/td>\nCondition<\/span><\/td>\nMedical necessity basis<\/span><\/td>\n<\/tr>\n
Procedure requested<\/span><\/td>\nServiceRequest<\/span><\/td>\nWhat is being authorised<\/span><\/td>\n<\/tr>\n
Prior treatment history<\/span><\/td>\nMedicationRequest, Procedure<\/span><\/td>\nStep therapy documentation<\/span><\/td>\n<\/tr>\n
Clinical notes<\/span><\/td>\nDocumentReference<\/span><\/td>\nSupporting clinical evidence<\/span><\/td>\n<\/tr>\n
Lab results<\/span><\/td>\nObservation<\/span><\/td>\nEvidence of medical necessity<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

The FHIR-integrated PA launch workflow:<\/b><\/p>\n

    \n
  1. Provider places an order in the EHR that requires PA<\/span><\/li>\n
  2. CDS Hooks fires – platform receives the order context<\/span><\/li>\n
  3. Platform queries payer’s PA requirements for this CPT\/HCPCS code<\/span><\/li>\n
  4. Platform pulls relevant clinical data from <\/span>EHR FHIR APIs<\/span><\/a><\/li>\n
  5. Platform pre-populates the PA request form<\/span><\/li>\n
  6. Platform identifies documentation gaps that would cause denial<\/span><\/li>\n
  7. Provider completes any missing documentation before submitting<\/span><\/li>\n<\/ol>\n

    Module 2 – Payer-Specific Criteria Engine<\/b><\/h2>\n

    This is the most complex component and the one that determines whether the platform reduces denials or just digitises the existing mess.<\/span><\/p>\n

    The criteria engine architecture:<\/b><\/p>\n\n\n\n\n\n\n\n\n
    Layer<\/b><\/td>\nWhat It Does<\/b><\/td>\n<\/tr>\n
    Payer database<\/span><\/td>\nPer-payer, per-CPT: Is PA required? What are the clinical criteria?<\/span><\/td>\n<\/tr>\n
    LLM criteria parser<\/span><\/td>\nIngests payer criteria PDFs and extracts structured rules<\/span><\/td>\n<\/tr>\n
    Criteria matcher<\/span><\/td>\nCompares patient’s clinical profile against extracted criteria<\/span><\/td>\n<\/tr>\n
    Gap identifier<\/span><\/td>\nLists specific documentation elements missing from the record<\/span><\/td>\n<\/tr>\n
    Documentation prompter<\/span><\/td>\nGenerates structured questions for the provider<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    The LLM criteria parser in detail:<\/b><\/p>\n

    Payer criteria are published in unstructured PDFs and HTML pages that change without notice. The LLM parser:<\/span><\/p>\n

      \n
    1. Monitors payer policy pages nightly for changes<\/span><\/li>\n
    2. Detects changed documents and re-ingests them<\/span><\/li>\n
    3. Extracts clinical criteria as structured rules:<\/span>\n