The first week of December saw Artificial Intelligence take center stage in MedTech, but not always for the right reasons. While new systems promise to revolutionize patient triage in Greece and reduce physician burnout in the US, a more alarming trend has emerged. Major health insurers are now using AI to automatically deny patient claims, raising serious ethical and regulatory questions.

This episode of MedTech Global Insights explores this AI paradox. We contrast the efficiency gains of AI scribes and national triage systems with the patient harm caused by algorithmic insurance denials. We dissect the pain point of a system where a black box makes critical healthcare decisions, leaving patients and doctors with little recourse. It's a story of innovation versus implementation, and the desperate need for smarter regulatory oversight.

Key Takeaways:

- How is AI being used to both expand and restrict access to healthcare right now?

- When an algorithm denies medical treatment, who is held accountable?

- What are the hidden regulatory risks of deploying AI-driven MedTech in the US market?

- Can a single AI product be a force for good in one country and a liability in another?

- How can MedTech startups build ethical frameworks into their AI from day one?

- What post-market surveillance is necessary for an algorithm that is constantly learning?

- Is the push for efficiency forcing companies to overlook the ethical implications of their technology?

For more insights or to discuss your MedTech regulatory strategy, contact us at [email protected] or visit https://pureglobal.com/. You can also explore our FREE AI tools and medical device database at https://pureglobal.ai/.