AI Adoption in Healthcare: 'You Need to Trust But Verify' Says CIO
HealthLeaders Media
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Contributed by: Kate Gamble
Summary
Healthcare systems and hospitals should adopt AI tools with cautious optimism, advises Doug King, CIO of Northwestern Medicine. Despite the hype, it's crucial to validate the effectiveness of AI tools in clinical settings, particularly for early disease detection and enhancing clinical efficiency for healthcare providers. Northwestern Medicine employs a thorough evaluation process involving both engineers and clinicians to ensure AI tools are beneficial. Clinical champions play a key role in successful adoption. Furthermore, patient-facing AI tools are emerging, offering personalized patient experiences and operational efficiencies such as efficient patient messaging and symptom-checking chatbots. Safety, experience, and clear ROI are paramount when working with external AI partners, stresses David Atashroo of Qventus.
