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AI and Healthcare

How is AI Changing Healthcare Decision Making?—with Mika Newton

Feb 14, 2025
Mika Newton and Bob Battista dive into how AI is revolutionizing healthcare decision-making. They discuss AI's ability to analyze clinical evidence and personalize treatment recommendations. The conversation highlights the challenges of regulatory restrictions and data silos that hinder progress. They emphasize the importance of accessible data for maximizing AI's potential and explore how adaptable healthcare guidelines can enhance patient outcomes, particularly in oncology.
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Podcast summary created with Snipd AI

Quick takeaways

  • AI enhances healthcare decision-making by synthesizing clinical evidence and creating personalized treatment pathways tailored to individual patient histories.
  • Challenges like data silos and regulatory restrictions hinder AI's full potential in integrating critical healthcare information for improved outcomes.

Deep dives

The Role of AI in Accessing Pharmaceutical Knowledge

AI's capability to enhance healthcare decision-making is significantly impacted by restricted access to critical data held within pharmaceutical companies. Much of the valuable information, such as patient-reported outcomes and historical call center data, remains behind firewalls, limiting AI's ability to answer pressing healthcare questions. However, AI excels in synthesizing existing scientific knowledge, including creating knowledge graphs that link drugs to their mechanisms of action and overall efficacy within clinical pathways. Organizations like EveryCure are leveraging AI for drug repurposing by starting from foundational data, but full potential is only realized when all relevant knowledge can be integrated into large language models.

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