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
Built on a hospital's existing clinical systems, the platform uses confirmed clinical rules to flag comorbidity risks, delivers alerts to the physician workstation, outpatient text messages and specialist consultation, and records how physicians respond.
One FDE, a month and a half: products, billing, referrals, follow-up, and service delivery connected across five interfaces at a rehabilitation hospital.
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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