In this episode of HealthTech Edge, Mike Moore speaks with Dylan McDonnell, founder of Foodini, about how AI can enhance dining safety for individuals with food allergies and dietary needs. Dylan shares his personal journey with celiac disease and the challenges he faced in finding safe dining options. Foodini aims to bridge the gap in ingredient transparency by providing restaurants with accurate allergen information through AI and dietitian reviews. The conversation also covers new regulations in California mandating allergen labeling, the onboarding process for restaurants, and the business benefits of adopting Foodini's technology. Dylan emphasizes the importance of consumer transparency and the future of food safety in the restaurant industry.

In this conversation, Mike Moore and Jack Stockert discuss the intersection of healthcare and technology, focusing on the role of AI in improving administrative efficiency and clinical care. Jack shares his journey from practicing medicine to innovating within the healthcare system, emphasizing the importance of understanding the unique challenges of healthcare while also learning from other industries. They explore the potential of AI to streamline administrative tasks, enhance patient care, and transform Medicare Advantage plans. Jack also highlights the mission of Health 2047 in fostering innovation that centers around the patient-provider relationship.

Healthcare organizations often move in cycles. They build new capabilities internally, bring in partners for scale or speed, then build again when the next wave of technology arrives.

In this episode, Mike Moore is joined by Mark Nelson, a longtime healthcare operator and technology leader, to unpack why this cycle is so common and why it’s a rational response to risk, regulation, and accountability in healthcare.

The conversation looks at how AI fits into this pattern, what healthcare leaders should consider as they plan for 2026, and how to be more intentional about what to own, where partners add value, and how to tie AI efforts to real operational outcomes.