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About this episode
Alex Tyrrell discusses the challenges and implications of Shadow AI in healthcare.
By Adam Turteltaub The rise of generative AI has brought transformative potential to healthcare—from streamlining administrative tasks to supporting clinical decision-making. But alongside these benefits comes a growing concern: Shadow AI. Alex Tyrrell , Chief Technology Officer, Health at Wolters Kluwer explains in this podcast that this term refers to the use of unauthorized, unmonitored AI tools within organizations. In healthcare, where data privacy and patient safety are paramount, Shadow AI presents a unique and urgent challenge both now and in the future. Healthcare professionals often turn to generative AI tools with good intentions—hoping to reduce documentation burdens, improve workflows, or gain insights from complex data. However, many of these tools are unproven large language models (LLMs) that operate as black boxes. They’re prone to hallucinations, lack transparency in decision-making, and may inadvertently expose Protected Health Information (PHI) to the open internet. This isn’t just a theoretical risk. The use of public AI tools on personal devices or in clinical settings can lead to serious consequences, including: Privacy violations Legal and regulatory…
People in this episode
Host: Adam Turteltaub
Guest: Alex Tyrrell
Topics covered
- generative AI
- Shadow AI
- healthcare
- data privacy
- patient safety
Keywords
- AI tools
- unmonitored AI
- healthcare professionals
- large language models
- documentation burdens
Mentioned in this episode
Products: Shadow AI, generative AI tools, large language models
Places: EU
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