The AI in Business Podcast From Experimentation to Clinical-grade AI in Healthcare - with Alex Tyrrell of Wolters Kluwer
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May 5, 2026 
Alex Tyrrell, SVP and CTO of Health at Wolters Kluwer, builds clinical AI and decision support for healthcare. He discusses why pilots must scale to avoid shadow AI. He covers clinical-grade safety, clinician oversight, explainability and audit trails. He highlights workflow fit, balancing speed with safety, and the infrastructure needed to run AI inside regulated systems.
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Engage Clinicians Or Risk Shadow AI
- Healthcare organizations must move beyond pilots because clinician demand and burnout push staff toward shadow AI.Use surveys, use-case discovery, and tiered governance to engage users before unsafe shadow adoption spreads.
- Alex Tyrrell warns that delaying adoption risks unobservable, unmetered tool use that can expose PHI and move AI closer to bedside care.
Create A Structured Path For AI Usage
- Structure clinician demand with governance: run surveys, identify use cases, tier by risk, and form proper governance to provide a safe channel for AI use.Engage users so they don't resort to consumer LLMs like ChatGPT for clinical work.
- Alex Tyrrell recommends creating a clear plan and place to use AI to avoid unregulated workplace adoption and patient-data exposure.
Clinical Grade AI Requires Expert Oversight
- Clinical‑grade AI equals measured safety, efficacy, and clinician oversight not just model accuracy.Build domain‑adapted models plus licensed clinicians 'expert in the loop' to verify recommendations and preserve standards like Gold Standard Clinical Decision Support.
- Tyrrell highlights de‑skilling risk and designs UX to assist rather than replace clinical judgment.