US specialty clinic group (composite, anonymised)
Front-desk intake reduced 65% inside the BAA boundary
−65%
Front-desk intake time
The challenge
A US specialty clinic group with eight locations and ≈60 clinicians was drowning in pre-visit paperwork. Front-desk staff manually keyed scanned intake forms, insurance cards and referring-provider documents into the EHR — ≈12 minutes per new patient, with a measured intake error rate above 8% feeding downstream prior-auth denials. Anything they deployed had to stay inside the Microsoft HIPAA BAA and could not act as a clinical-decision-support system that would attract FDA SaMD scrutiny.
The solution
AI Builder forms-processing for intake packets and insurance cards. Azure AI Document Intelligence for referring-provider documents and operative reports. Power Automate writes structured output to the EHR via FHIR APIs (athenahealth). All inside the BAA boundary; front-desk staff confirm the extracted fields rather than type them. Deployment is explicitly administrative — no clinical-decision-support, no autonomous patient communication — with the clinician as the decision-maker on every chart.
Outcomes
- Per-patient intake time dropped from ≈12 to ≈4 minutes
- Intake error rate fell from 8% to below 2% (measured on a 90-day sample)
- Prior-auth denials traceable to intake errors down ~55% in the same window
- BAA boundary preserved; no PHI touched a service outside the agreement
The pattern, applied to your business
See this pattern in your own business
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