Glazion autonomously recovers lost revenue in cardiac and imaging labs — detecting disruptions instantly and resolving them in seconds, not the hours it takes a person to notice and react.
Sources: Academic Radiology (2024); Current Problems in Diagnostic Radiology, via RadiologyBusiness.com.
Epic, Cerner, EMR, patient records.
RIS, PACS, radiology AI / viewer.
Live: scheduling, insurance, staffing, equipment, patient communication, analytics.
Expanding to multi-site network optimization.
Healthcare software records what happened. Healthcare AI interprets images. Nobody decides what should happen next — we built that layer.
Runs continuously, every minute a facility is open — full audit trail, human override always available.
Separate live schedules per machine, room, and provider.
Evening sweep flags unapproved patients before they arrive.
Autonomous SMS and calls to reschedule and refill the waitlist.
Handles delays, weight limits, and machine-specific constraints.
Every AI decision logged and reviewable, always.
Modern AI can weigh patient urgency, insurance status, equipment, and staff availability simultaneously — traditional software never could.
Schedules, equipment, insurance, and staff generate huge data — almost none connected today.
Managers lose hours a day to manual scheduling. No facility can hire a dedicated gap-filler.
Anthony has personally lived shift #3 for 30 years — the technology has finally caught up to the problem he's described his entire career.
Builds autonomous software for healthcare operations. Designed and developed Glazion's autonomous operations engine end to end, built around the operational constraints of imaging centers — from scheduling and staffing to equipment utilization and patient flow.
30 years in cardiac ultrasound, 20 of which were in leadership positions directing hospital operations. Experience across multiple sized hospital systems ranging from a single critical-access hospital, to an 11-hospital, 400+ outpatient center network. Recognized for improved productivity and throughput as well as patient and employee satisfaction.