Challenges of Making AI Tools Patient-Facing in Healthcare

Implementing patient-facing AI tools in healthcare is challenging due to the historical centralized expertise, making it crucial to bridge different communities to cater to patient needs. While there is a shift towards patients becoming users of AI tools, especially those historically not built by health systems, patient-facing AI tools demand a substantial focus on safety, quality, and regulatory compliance. Ensuring consistency, reliability, and avoiding confabulations are critical hurdles to overcome before deploying AI tools to patients, necessitating dedicated years of focus and evidence-based data.

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