DOCUMENT CLASSIFICATION | Structured Data from Inbound Clinical Documents
Turning inbound referral faxes, lab reports, and prior-auth forms into classified, structured data
BACKGROUND
A clinical-operations team receives referral faxes, lab reports, prior-authorization forms, insurance cards, and intake packets from a wide network of outside providers.
THE OPPORTUNITY
No document could enter the appropriate care workflow until staff identified, keyed, and routed each document. The overnight queue delayed referrals and authorizations, consumed clinical-operations capacity, and forced volume growth to depend on additional staffing.
OUR APPROACH
Ajaia built the engine around the team's actual document stream, in four stages:
THE SOLUTION
An intelligent engine that classifies every inbound clinical document and extracts its data automatically.
RESULTS
Referral faxes, lab reports, prior-authorization forms, insurance cards, and intake packets are classified on arrival and their fields extracted as structured data, with PHI under HIPAA-aligned controls. Manual sorting and data entry fell by more than 90%, enabling the same staff to process significantly more document volume while focusing on exceptions. Referrals and authorizations now begin moving as soon as documents arrive instead of waiting in a sorting queue, over 65% faster than before.
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