Primary care was meant to be the front door to the healthcare system, but in some ways never set up for success to begin with. We need a new operating system for primary care—one with a different, deeper understanding of the patient, the context of their world around them, and the processes we have in place to figure out who sees a doctor and when, to use the system most efficiently.In this episode of the a16z Podcast, we talk about what the primary care of the future should actually look like; what kind of data about patients we should be collecting, from where, and to tell us what; how you ask the right questions of that data, to use the resources of our  healthcare system most efficiently and for the best care; and what the PCP of the future might look like. Joining us for the conversation are General Partner Julie Yoo, physician entrepreneur Ivor Horn, a primary care pediatrician for more than 20 years, and Jeff Kaditz, CEO and founder of Q.bio, a platform that identifies and monitors each individual’s biggest health risks. 

Join an enlightening discussion with Kristen Fortney, CEO of BioAge Labs, Jeff Kaditz, co-founder of Q.Bio, David Sinclair, co-director at Harvard's Glenn Center, and Michael Snyder, Stanford's Genetics Chair. They dive into groundbreaking advancements in longevity, highlighting the importance of early disease detection and genomics. Explore innovative tools targeting aging, like the elimination of senescent cells, and how tech is revolutionizing healthcare from reactive to proactive. Discover the societal shifts towards personalized health data ownership for improved aging outcomes.

Carlos Araya, CEO of Jungla, Jeff Kaditz, CEO of Q, and Gabe Otte, CEO of Freenome, dive into the evolving world of genomics. They discuss how our understanding of DNA has transformed since the Human Genome Project, revealing it as a dynamic system. The conversation highlights the necessity of combining genomic and phenotypic data for accuracy in medical diagnostics. They also tackle commercialization hurdles and the push for preventative care, emphasizing the potential of machine learning to reshape genomics in healthcare.