How Transparent Pricing Drives Healthcare Change
Show notes
Dr. Marty Makary—surgical oncologist at Johns Hopkins University School of Medicine, and health policy and innovation expert—has long been a passionate advocate for transparent pricing in the healthcare system. We don’t talk enough (or really at all) about price in healthcare, says Makary (instead, we talk about cost). But shedding a light on prices in healthcare—from not just what those prices are but how prices are set and the value we all receive as consumers of the system overall—can help us measure quality in medicine, and be a driver for real behavioral change in the healthcare system, correcting many of the unintended consequences of a fee-for-service system like surprise billing or unnecessary medical procedures. In this conversation with a16z General Partner Julie Yoo, Makary and Yoo discuss what price transparency in the healthcare system could really do; how we can "steer" towards the good physicians who are not just highly skilled, but make the right judgment calls based on need and holistic health, not cost; how we might distinguish between high value and low value through medical appropriateness; and how we might gain clinical wisdom from other kinds of scientific discovery beyond randomized controls, especially during the wartime protocol of COVID-19. Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a16z Show on Apple Podcasts Follow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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