HomeMachine LearningCollaborate on a nationwide randomized study of AI in real-world virtual care

Collaborate on a nationwide randomized study of AI in real-world virtual care

Exploring the Future of AI in Healthcare: A Nationwide Study

AI systems capable of clinical reasoning and dialogue have the potential to dramatically increase access to medical expertise and care while giving doctors back time with their patients where it really matters. However, the responsible development of these technologies requires a rigorous, evidence-based approach. Over the past several years, our teams have explored the “art of the possible” through research systems that demonstrate clinician-level capabilities in simulated settings. Although we have begun testing the safety and feasibility of these systems in clinical settings, taking the next step in evaluating these systems requires additional rigor and scale. This involves investigating the utility and impact of AI in virtual care involving more patients across a wide range of geographies and conditions and with controlled comparisons.

Launching a New Phase of AI Research

Today, we are announcing an important milestone in this ongoing research journey: in partnership with Included Health, a leading U.S. healthcare provider, we will launch, pending Institutional Review Board (IRB) approval, a nationwide, prospective, randomized, consented study to evaluate AI in a real-world virtual care environment. This new research will build on our foundational research into the use of AI for diagnostic and management reasoning, personalized health information, and health information navigation.

From Simulated to Real-World Settings

This work represents a significant evolution in our research. The first studies published in Nature first evaluated the diagnostic reasoning capabilities of our AI system, including its assistive effect for doctors. We then compared the system’s conversational diagnostic capabilities to those of primary care physicians in simulated settings with patient actors. In addition to understanding capabilities, we also explored a physician-centric paradigm with asynchronous AI monitoring. Our first step toward testing conversational AI in real-world clinical settings was a single-center feasibility study in partnership with Beth Israel Deaconess Medical Center. The objective of the study was to demonstrate system security based on outcome measures such as the number of interruptions by the security supervisor in response to security issues. We observed strong indications of safety in this initial study and look forward to sharing the results once completed.

For more detailed insights into this significant advancement, you can visit the source link Here.

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