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@ShahidNShah
Healthcare is on the brink of a seismic shift, and AI is its catalyst. Three converging trends are creating a perfect opportunity for change: (1) The Foundational Model’s growing ability to predict risks further into the future compared to traditional machine learning, (2) the rise of the self-insured healthcare industry that is motivated to address these risks, and (3) a surge in Value-Based Care (VBC) providers that focused on risk reduction. These three forces together promise to redefine healthcare as we know it fundamentally. Healthcare has long grappled with alignment issues. Let’s explain this in an example. Research found that a significant proportion (⅓ to ¼) of hospital admissions in the US are avoidable - if only someone had known earlier. At Google my team and I created predictions to predict the likelihood of avoidable admissions. However, our traditional healthcare system has little incentive to prevent these situations.
Healthcare is on the brink of a seismic shift, and AI is its catalyst. Three converging trends - the increasing predictive capabilities of the Foundational Model, the rise of self-insured healthcare, and the growing adoption of VBC providers - promise to fundamentally redefine healthcare. By leveraging AI, healthcare providers can proactively address health risks, reduce costs, and improve patient outcomes. However, the traditional healthcare system's misalignment issues have prevented it from realizing its full potential. It is crucial for healthcare providers to embrace these changes and adopt new technologies to maximize AI's benefits in healthcare.
Continue reading at forbes.com
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