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Grand Challenges in Healthcare AI
a16z Podcast
Crises Can Propel Change or Stagnate Progress
Crises can act as catalysts for innovation or hinder progress depending on their nature. The staffing crisis and the COVID-19 pandemic are seen as tailwinds for artificial intelligence (AI) adoption in healthcare, as they create urgency for solutions that the traditional methods fail to address. The challenges of producing more healthcare professionals drive organizations to explore AI for operational efficiencies. Furthermore, the shift towards value-based care disrupts longstanding healthcare models, presenting a challenge for incumbents who must adapt while grappling with outdated fee-for-service frameworks. Organizations straddling these two paradigms face significant difficulties in navigating the dual pressures, highlighting the transformative potential of crises in reshaping industry standards and practices.
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