{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"How I Tested That","title":"Moses Adedoyin | How I Test Before Real Patients","html":"","width":"100%","height":180,"duration":2712,"description":"Summary\n\nIn this episode, I’m joined by Moses Adedoyin. Moses is leading Venture Design & Innovation over at GuideWell, where he’s testing new healthcare solutions to help patients.\nWe discuss what testing looks like when you work in one of the most heavily regulated environments imaginable. Moses shares how his background in engineering and simulation helped shape the way he approaches testing and how his team built a lab where they could test new ideas safely before introducing them into a live healthcare environment.\nWe deep dive into the real world practicality of using synthetic data to increase the fidelity of experiments and how that can dramatically reduce the time and cost required to evaluate new solutions. Moses and I explore digital twins, AI-assisted simulation, and how technology enables healthcare teams to spend less time on administrative work and more time actually helping patients in need.\nIf you want to learn more about testing in highly regulated healthcare, using AI and synthetic data, then you’ll love this episode.\nTakeaways\nTesting in regulated environments requires a different path. In healthcare, teams can’t always “just talk to customers” or run a quick experiment because PHI, consent, security, procurement, and regulation all shape what is possible.\nSynthetic data can help teams build evidence earlier. Moses’ team uses synthetic data to test concepts, technology, and early value before involving real patient data, which helps reduce both cost and cycle time.\nIncrease data fidelity as the evidence gets stronger. Their progression moves from little or no data, to synthetic data, to de-identified data, and eventually to real PHI only when the experiment justifies it. \nThe goal is faster, higher-quality decisions, not just faster experiments. Synthetic data can help eliminate weak technologies or partners before teams spend months navigating legal, security, and procurement requirements.\nSynthetic data does not replace real patients. It can...","thumbnail_url":"https://img.transistorcdn.com/hRAQ0Cvexq2Nhl7H1KPLfxWZ14skSKkH4xG8JMRnoOM/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzUwMDU0LzE3MDg3/MTI0NTQtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}