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Life Sciences & Diagnostics

Integrating Liquid-Biopsy AI Results into EHR Workflows for an Oncology Diagnostics Lab


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Problem

Results trapped in PDFs

An oncology diagnostics lab serving 60 partner clinics delivered liquid-biopsy panel results as PDF reports sent by fax and portal download, entirely outside the EHR. Clinic staff re-keyed findings into patient charts by hand, results took days to reach treating physicians, and test ordering still ran on paper requisitions with no visibility into sample status.

Solution

Structured results inside the EHR

We built an HL7 FHIR integration layer connecting the lab's existing AI-assisted analysis pipeline to partner clinic EHRs. Structured results now post directly to the patient chart as discrete fields, physicians order tests from inside the EHR, and a shared status tracker follows every sample from accession through to released report.

Measurable Impact

What changed after launch

Result-to-chart availability dropped from a 2–3 day average to under 15 minutes for integrated clinics

46 of 60 partner clinics live on structured EHR results delivery within 9 months

Manual re-keying of report findings eliminated at integrated clinics, saving an estimated 11 staff-hours per clinic monthly

In-EHR electronic test ordering grew from 18% to 72% of total order volume

Tech & Tools Used

What powered the build

HL7 FHIR
Mirth Connect
SMART on FHIR (OAuth2)
Python (FastAPI)
PostgreSQL
Redis
Next.js
Docker
AWS ECS + S3

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