Healthcare Providers & Payers
Healthcare systems need privacy, review, and operational fit before model performance means anything.
AI use cases
Clinical documentation
Capture, structure, summarize, and code notes with clinician review.
Prior auth and claims automation
Extract records, check policy rules, and prepare decisions for human approval.
Imaging and triage support
Support detection, segmentation, routing, and second-read workflows.
Patient access and scheduling
Predict demand, reduce no-shows, and guide patients to the right next step.
Care management intelligence
Surface high-risk patients, care gaps, and follow-up actions from longitudinal data.
Revenue cycle operations
Automate coding support, denial analysis, payment variance review, and appeals packets.
Selected work
Patient-flow support for hospitals
We designed scheduling and triage logic around patient flow, with review points for the moments that need clinical judgment.
Biometric telemetry with privacy controls
Fitness data is personal. We built the analytics layer with row-level security so health signals could be useful without becoming exposed.
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