05/05/23 – Stat – 4 ways the health care system should shift its thinking on AI, according to experts

Artificial intelligence (AI) has been making waves in various industries, and healthcare is no exception. As the potential of AI continues to unfold, experts have gathered at the recent 2023 STAT Breakthrough Summit to discuss its transformative impact on the healthcare system. Prominent figures in AI/ML: Nigam Shah, Suchi Saria, and Connor Landgraf shared their invaluable insights, shedding light on the four crucial ways in which the healthcare industry should shift its thinking regarding AI.

Amidst the increasing adoption of AI technologies, even the renowned “Godfather of AI,” Geoffrey Hinton, expressed concerns about the overwhelming power wielded by this disruptive technology. Recent months have witnessed a frenzy of efforts to harness AI in diverse sectors, and healthcare has been at the forefront of these groundbreaking endeavors.

As the boundaries of what is possible continue to be pushed, it becomes imperative for healthcare professionals, policymakers, and stakeholders to reflect on the optimal utilization of AI. This article explores the key takeaways from the discussions at the STAT Breakthrough Summit, offering insights into how the healthcare system should approach AI with a renewed mindset.

Read more about the four fundamental shifts in thinking that experts suggest are necessary for AI to truly revolutionize healthcare. By embracing these transformative concepts, the healthcare industry has the potential to unlock unprecedented advancements and redefine the standards of patient care.

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Read the Stat article

Read more about Bayesian Health’s approach to Adaptive AI

*Adams, Henry, Saria et al. Nature Medicine, 2022;
*Henry, Adams, Saria et al., Nature Medicine, 2022

 

02/28/23 The Wall Street Journal –How Doctors Use AI to Help Diagnose Patients

Thrilled to see this thoughtful discussion in the The Wall Street Journal on the important work that Bayesian Health is doing with our incredible health system partners like LifeBridge Health.

Bayesian’s platform serves as a colleague / co-pilot for doctors and nurses. It empowers clinicians with real-time care signals to manage outcomes and cost while streamlining workflows to save time.

LifeBridge clinicians are forging the path forward for what great care looks like:

• where we don’t miss any critical moments for patients,
• where we can be proactive and not reactive about patient care, and
• where we support clinicians with helpful tools to make their lives easier

We’ve already been able to see improvement in early recognition rates, reduction in treatment delays, significant reductions in length of stay, reduction in alarm fatigue and financial gain conservatively projected to the tune of ~$2Mi+ per 200 beds! And we’ve begun to expand in areas beyond sepsis!*

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Read the Wall Street Journal article

Read more about Bayesian Health’s approach to Adaptive AI

*Adams, Henry, Saria et al. Nature Medicine, 2022;
*Henry, Adams, Saria et al., Nature Medicine, 2022

12/22/22 Healthcare Innovation – Year-End Review-AI: Artificial Intelligence Initiatives Accelerate in Healthcare

Amid the challenges of calendar year 2022, one of the bright spots was the acceleration in artificial intelligence-related activity—both clinical and non-clinical—in healthcare.

“Careful examination of the sepsis tool implementations have found that, when Suchi Saria’s team at Bayesian Health looked closely at the success levels of sepsis-alert algorithms, they found that the actual rates of improvement in intervention turned out to be far more modest than they appeared at first glance.

In fact, she said, ‘I’ve seen incorrect evaluation. People measured sepsis for mortality, then deployed the tool, then used billing code data, and evaluated. But it looks as though you’ve improved mortality, but there’s a dilution effect.’” In other words, it’s turning out that clinician and clinical informatics leaders must necessarily test out and recalibrate any algorithms developed elsewhere, in their own organizations, since, as Patterson told me, clinicians document inside their own organizations’ electronic health records in individual ways.

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Read the Healthcare Innovation article

Read more about Bayesian Health’s approach to Adaptive AI