RadIQ: From Radiology Reports to Quality Management and Clinical Collaboration
Voice-generated reports, multimodal quality checks, and diagnostic risk alerts. Deployed and in use at three hospitals, with positive results.
A technology and AI transformation practitioner in healthcare.
Focused on AI-native systems, healthcare data, and organizational redesign. This is a record of products and methods built in practice — and judgments still taking shape.
Projects built in practice
Voice-generated reports, multimodal quality checks, and diagnostic risk alerts. Deployed and in use at three hospitals, with positive results.
Seventeen days from a three-agent concept to real production. I came away with a different understanding of AI-native enterprise software—not a model taking over everything, but a closed loop across natural language, business governance, reliable transactions, and organizational learning.
Embed AI in the clinician’s real workspace so generation, quality control, and sign-off reduce repetitive documentation while turning validated practice into reusable institutional knowledge.
Move beyond digital entry points toward a continuously available health twin that understands patient state, initiates action, and completes clinical service loops under human confirmation and full audit.
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