Oncology authorization requests may depend on tumor type, stage, pathology, biomarkers, prior treatments, response, performance status, regimen details, and line of therapy. Organizing this evidence around explicit payer criteria can reduce avoidable requests for more information.
Build a longitudinal clinical picture
Connect diagnosis and stage with pathology, molecular results, imaging, treatment history, response, intolerance, and current plan. Dates matter because the record must explain how the disease and therapy sequence evolved.
Retain original reports and distinguish reported facts from inferred concepts such as line of therapy.
- Cancer type, site, histology, and stage.
- Pathology and biomarker results.
- Prior regimens, dates, response, and toxicity.
- Requested regimen, dose, cycle, and intent.
- Performance status and relevant comorbidities.
Map evidence to each requirement
A reviewer should see each policy criterion beside the supporting source. One report may support several criteria, and one criterion may need evidence from several encounters.
Flag missing, stale, or conflicting evidence. Do not convert an absence in the available data into a negative clinical assertion.
Keep clinicians in the review loop
Oncology context is nuanced, and treatment decisions may not fit a simple pathway. Automation should assemble and organize the record while allowing the treating team to explain exceptions and confirm clinical statements.
Measure time spent gathering evidence, additional-information requests, and delays to treatment alongside submission speed.