Many authorization denials and pends can be traced to preventable workflow defects: the wrong requirement, inconsistent codes, missing evidence, outdated coverage, or an incomplete response to payer questions. Prevention requires visibility across the full case.
Classify the causes
Create a reason taxonomy that distinguishes eligibility, authorization requirement, medical necessity, coding, timing, network, documentation, and technical submission issues. Normalize payer messages without discarding the original text.
Review causes by payer, service, location, and workflow stage to find recurring patterns.
- Confirm coverage and plan scope.
- Use the applicable policy version.
- Validate service and diagnosis coding.
- Check every required evidence item before submission.
Make completeness criterion-specific
A generic complete flag is not enough. Show which requirement each document or data element supports and which criteria remain unanswered.
When evidence is unavailable, route a specific task to the person who can resolve it and preserve the response.
Close the learning loop
Connect additional-information requests, denials, peer reviews, and appeals back to the original case and policy interpretation. Determine whether the root cause was data, workflow, policy logic, or clinical disagreement.
Measure avoidable denial rate and first-pass completeness alongside approval rate so changes in case mix do not hide workflow quality.