Apex Health had a machine learning model that could flag abnormal lab results with 94% accuracy. The problem: clinicians were still reading results from a 2009 HTML table interface. We rebuilt the product layer from scratch so the AI could actually reach the people who needed it.

Doctors don't have time to learn software. The dashboard had to surface critical alerts within one glance, work on both tablet and desktop, and pass a strict HIPAA audit before any clinic could onboard. The previous vendor took nine months and never shipped.

We ran a two-week discovery sprint embedded with three clinician teams. Every decision went through usability testing with real end users. The result: a role-based dashboard where critical alerts appear at the top without clutter, trend lines show patient history at a glance, and the AI confidence score is surfaced clearly without overwhelming non-technical staff.