Steve Yaskin’s Post

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CEO @ Health Gorilla | Forbes Technology Council Member

Every time a brand name investor posts a rallying cry “time to fix the $4T US healthcare”, many entrepreneurs will pay attention. There will be a rush into healthcare, primarily in the HIT field, and, lately, AI. What is important to understand, is that US healthcare is not a $4T market in terms of TAM/SAM calculations. It is a thousand small markets, none of which would be attractive to VC capital by itself, if thoroughly understood and well-defined. There are hundreds of incumbents in this highly fractured environment and some of them had monopolised their niches. While this is true, the Healthcare overall expense of 20% of GDP is unsustainable. How do you look at this spend empirically, sans the hype? Look for horizontal underlying patterns and market-spanning issues and yes, one has to be on top of regulatory space and learn it as well as their technology. All these are huge barriers to entry, but absolutely required for developing long term healthcare solutions. One of these horizontal and paramount issues is amount of healthcare data produced, collected and exchanged. Of total amount of data produced in the world now, 30% is generated by healthcare. 97% was of that data is unused. That should be a rallying cry.

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Healthcare represents a colossal, untapped market ripe for technological disruption. By leveraging AI and modern tech, we can streamline operations, enhance patient engagement, and drastically improve health outcomes. This is about using technology to save lives and make healthcare more efficient and accessible. a16z Bio + Health's Vijay Pande, PhD and Daisy Wolf call on tech to come build in healthcare in one of our most popular articles of 2023. Read it here: https://lnkd.in/eV2UT8Ce

Hey Tech, It’s Time To Build. In Healthcare. | Andreessen Horowitz

Hey Tech, It’s Time To Build. In Healthcare. | Andreessen Horowitz

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Gerard Grundler

Accelerating Strategy via Partner Ecosystem Development

2mo

The unwilling led by the unknowing.

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