The Agentic Patient 4: Finding Insurance and Red Team Analysis

When Demetri Giannikopoulos was diagnosed with multiple sclerosis, his community neurologist handed him a sheet with fifty medication options and told him to pick one. That was a long time ago. Today he's the Chief Innovation Officer at RadAI, overseeing how artificial intelligence gets deployed in radiology across US health systems — and he's spent two decades learning how to navigate a healthcare apparatus that, in his words, "is not designed for sick patients."

In this conversation Demetri explains why the most valuable thing AI has done for him as a patient isn't clinical — it's the 50 pages of insurance underwriting documents he fed into ChatGPT to save several thousand dollars on a plan that looked, on paper, worse. He walks through his "red team" prompting technique, the error he caught in a radiology report where legacy speech-recognition software had dropped the word "no," and why he thinks the regulatory debate around AI in healthcare should look less like drug approval and more like how we regulate nuclear power. If you want a ground-level view of what AI can and cannot do inside the American medical system, this is where to start.

Additional resource with prompt tips: https://aipatients.org/ Additional resource: Scanxiety toolkit: https://edge.sitecorecloud.io/americancoldf5f-acrorgf92a-productioncb02-3650/media/ACR/Files/Clinical/Patient-Family-Centered-Care/PFCC-Scanxiety-Toolkit-Brochure-Digital-Version.pdf Full Agentic Patient series: https://www.facesofdigitalhealth.com/agentic-patient-blog

Detailed summary and tips from Demetri: https://www.facesofdigitalhealth.com/agentic-patient-blog/red-teaming-your-health-plan-demetri-giannikopoulos-on-responsible-ai-the-cures-act-and-what-patients-should-actually-do

6 tips on AI use for patients: https://fodh.substack.com/p/the-agentic-patients-are-here