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The AI in Business Podcast
Who's Adopting AI in Healthcare? - with Peter Durlach of Nuance Communications
Jan 21, 2021
15:33
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Peter Durlach, Senior Vice President of Healthcare Strategy at Nuance Communications, joins to share his expertise in healthcare AI. He highlights which organizations are embracing AI technology and discusses the key factors that facilitate or hinder adoption. Durlach explores the use of machine vision in radiology for early diagnosis and the importance of trust in predictive analytics. He also addresses the integration challenges within healthcare workflows and notes how small clients often lead the innovation charge, leaving larger institutions to catch up.
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Quick takeaways
- Healthcare organizations face a complex landscape in AI adoption, influenced by technical expertise, resources, culture, and operational dynamics.
- Speech recognition is foundational in healthcare AI, with high adoption rates among clinicians, while predictive analytics shows early promise for future diagnostic practices.
Deep dives
Adoption Landscape in Healthcare AI
Many healthcare organizations are exploring AI adoption, but the landscape is complex, as not all possess the necessary technical expertise or resources. Adoption varies significantly among organizations, which can often be influenced by their culture, size, and operational dynamics. Large integrated delivery networks (IDNs) and smaller community hospitals appear to have distinct trajectories regarding AI capabilities. Understanding these adoption patterns may offer insights that apply to other industries, helping to identify common factors that drive or hinder AI utilization.
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