
Danny van Leeuwen discusses his experiences with AI in healthcare as a nurse and patient.
As a nurse with MS, I’m interviewed about AI’s real role in care: pattern recognition, human-in-the-loop skepticism, and the Three T’s and Two C’s framework. Click here to view the printable newsletter. More readable than a transcript . Click here for a verbatim transcript Summary I sit in the guest chair on Practical AI in Healthcare with Steve Labkoff. I walk through my experience feeding my own symptom logs, lab results, and ten years of clinician notes into an AI LLM: a physical therapy referral I needed and hadn’t scheduled, a medication side effect my neurologist later confirmed, and a rating scale buried in my chart that no one had surfaced. I describe the less impressive side: the four-pound box of unsorted paper my primary care practice mailed me and the 296 pages of unsearchable PDFs I got back from another system in fifteen minutes. Along the way, I lay out my framework for judging any digital health tool, the Three T’s and Two C’s: time, trust, talk, control, and connection, and explain why I insist on keeping humans in the loop even though the research on that is more complicated than people assume. This isn’t a pitch…
Host: Danny van Leeuwen
Guest: Steve Labkoff
Organizations: Practical AI in Healthcare, DCI Network
Explore listener stats, chart rankings, contacts and more on the Health Hats, the Podcast podcast page.