This second part explores how existing laws — from medical malpractice to product liability — are being applied to AI in healthcare. The challenge is adapting these rules to AI’s complexity and evolving standards of care. With strong safeguards, due diligence, and a focus on patient safety, organizations can responsibly harness AI’s potential while managing the risks.

As AI tools like ChatGPT and ambient scribes become embedded in healthcare, a pressing question emerges: who is responsible when things go wrong? This two-part series explores the evolving landscape of AI liability. In part one, we examine why inaction carries its own risks, how AI is already embedded in care, and the key safety and data protection concerns. Part two will dive into the legal side of the blame game: the types of liability claims healthcare organizations may fa

In an era where trust is the foundation of digital health, we’re thrilled to welcome Jeremy Hessing-Lewis as nymble’s new Data Protection and Privacy Officer. A rare blend of legal, tech, and product expertise, Jeremy will help ensure our AI is built on transparency, safety, and respect — not just for compliance, but for the future we want to build.