How ADE extracts ICD-10 codes, CPT codes, and clinical justification from prior authorization packages across payer-specific form layouts without retraining.
Prior authorization is one of the highest-friction administrative workflows in healthcare; every payer uses a different form and a missing or incorrectly extracted field delays patient care. ADE processes prior authorization requests and supporting clinical documentation through a single pipeline, extracting structured data using schemas that define which fields to extract rather than where they appear in any particular payer's layout.
What Prior Authorization Packages Contain
A prior authorization submission typically includes several document types:
- PA request forms. Payer-specific forms capturing patient demographics, diagnosis codes (ICD-10), procedure codes (CPT/HCPCS), ordering provider NPI, and clinical justification fields.
- Clinical documentation. Physician notes, specialist assessments, lab results, and imaging reports supporting the medical necessity determination.
- Treatment history. Records of prior treatments tried and failed, required by many payers for step therapy compliance.
- Insurance and eligibility documents. Member ID, group number, plan type, and benefit verification confirming active coverage for the requested procedure.
- Referral letters. Supporting correspondence from referring or ordering physicians.
Each document type has a distinct extraction schema. The same parsed output from the Parse API is reused across all extract calls for the submission package.
Payer Form Variability
Prior authorization forms are among the most payer-variable documents in healthcare administration; a commercial payer's PA form for specialty medication differs structurally from a Medicare Advantage plan's surgical PA form. ADE's Document Pre-Trained Transformer architecture identifies document structure visually, handling payer-specific layouts without per-payer templates.
The extraction schema defines the semantic fields required for the PA decision and locates them across any payer's form design without modification.
Extracting Clinical Codes and Criteria
ICD-10 diagnosis codes and CPT/HCPCS procedure codes are the most consequential fields in a prior authorization request; an incorrect code results in automatic denial regardless of clinical merit. ADE extracts coded fields as typed strings with bounding-box citations linking each code to its exact location in the source form.
Confidence scores on extracted code fields route low-certainty extractions to clinical staff for verification before the PA is submitted to the payer.
Supporting Clinical Documentation
Clinical notes and specialist assessments that accompany PA requests are largely unstructured prose. ADE's visual-first parsing handles unstructured clinical correspondence using the same pipeline as structured forms, returning ordered text blocks with section headings and paragraph-level bounding-box grounding.
Extraction schemas targeting clinical summary fields (primary diagnosis, medical necessity statement, prior treatment history) locate the relevant content across narrative formats without per-physician or per-specialty configuration.
HIPAA Compliance
Prior authorization packages contain PHI subject to HIPAA. Zero Data Retention ensures PA documents are processed in memory without storage on LandingAI infrastructure; a Business Associate Agreement is available and SOC 2 Type II certification is documented at the Trust Center.
VPC deployment is available for health systems requiring that PHI not transit any third-party infrastructure.
FAQ
Does ADE require a separate configuration for each payer's prior authorization form? No. ADE's visual-first architecture identifies document structure geometrically, so the extraction schema defines semantic fields extracted regardless of where they appear in any payer's layout.
See extraction schema documentation for guidance on building PA schemas.
How does ADE handle PA forms requiring both clinical narrative fields and coded fields? The extraction schema handles both; coded fields (ICD-10, CPT) are extracted as typed strings, while narrative fields are extracted as free-text strings. Both carry bounding-box citations in the extraction metadata linking each value to its source location.
Can ADE process prior authorization requests submitted as faxed documents? Yes. ADE accepts image formats including scanned faxes through the same Parse API; fax quality affects extraction certainty, with low-certainty fields surfacing in confidence scores that route them to clinical staff review before the PA is transmitted.
What happens when a required clinical field is absent from the PA submission? Fields defined in the extraction schema return explicit null values when the relevant content is not present, using the extract-20251024 model; see extraction model versions for null handling behaviour. Explicit nulls allow the pipeline to flag incomplete PA submissions before they reach the payer.
Is ADE suitable for real-time PA processing at point of care? ADE's synchronous Parse API supports real-time processing for standard PA document sizes, typically completing extraction within seconds. For high-volume batch processing, the Parse Jobs API handles large volumes asynchronously without blocking clinical workflows.