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Case Study · HealthcareDiagnostic Imaging Network4-Week Deployment

HIPAA-Aligned Patient Record Summarizer

Runs silently as a background assistant alongside radiologists, prioritizing urgent cases in the queue, with data handling designed around HIPAA's privacy and security requirements.

Results

99.1%

Sensitivity Rate

<4 sec

Triage Speed

Zero

Data Retention

99.1% triage accuracy rate

The Challenge

Radiology scan backlogs meant urgent cases were queued alongside routine checkups.

The Approach

We built an AI triage assistant that prioritizes critical scans in the queue and logs preliminary summaries into EHR records.

  • Automated scan queue prioritization
  • Instant urgent case alerting
  • Seamless EHR system logging
  • Zero-retention, HIPAA-aligned data pipeline

Tech Stack

Python AI ModelsDocker ContainersFastAPIEHR Sync

Want something like this built?

This was built as part of our AI Agent Development work for the Healthcare & Diagnostics sector.

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