AI Tools are Keeping Hospital Patients Alive

11/07/23 – The Washington Post – AI Tools are Keeping Hospital Patients Alive

In a recent Washington Post article, Leana S. Wen highlights the transformative impact of AI tools in healthcare, particularly in improving patient outcomes. The piece showcases Kaiser Permanente’s success in deploying an AI tool to identify early signs of patient deterioration in hospitals, a task traditionally reliant on clinician vigilance.

This AI system integrates various data points like vital signs and lab tests to alert healthcare teams proactively, helping in the early intervention of potential health crises. The results speak for themselves: a significant reduction in mortality rates. The article also notes the effective use of AI in other hospitals, such as Johns Hopkins, for early sepsis detection.

While Bayesian’s product is referenced in the discussion, the focus remains on the broader benefits and potentials of AI in healthcare.

LINKS

Read the Washington Post 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

 

How Can LLMs Be Deployed Safely in Healthcare?

10/09/23 – Med City News – How Can LLMs Be Deployed Safely in Healthcare?

Healthcare, like most other industries, has been experimenting with the use of large language models (LLMs) over the past year to streamline things like patient communication, clinical documentation and prior authorization.

While there has certainly been a great deal of hype recently surrounding LLMs and other forms of generative AI, there has also been a lot of skepticism. When it comes to an industry like healthcare, where one small technology failure could be the difference between life and death, many stakeholders are concerned about how to mitigate the risks associated with novel LLMs entering the field.

 

LINKS

Read the Med City News 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

 

Digital Automation Platforms in Medicine

06/22/23 – Future Medicine – AI Hub – Digital Automation Platforms in Medicine

In this illuminating article written by Neri Cohen, MD PhD Chief Medical Informatics Officer at Bayesian Health, you’ll learn about the transformative impact of digital automation platforms on patient engagement and clinical outcomes.

Dr. Cohen dives into Bayesian Health’s groundbreaking AI platform, which empowers front-line clinicians by translating complex data sets into actionable insights. Developed in collaboration with Johns Hopkins, the platform has already demonstrated an 18.2% decrease in sepsis patient mortality rates and earned FDA designation as a Breakthrough Medical Device. With an adoption rate of 89% among clinicians, Bayesian’s platform is more than a technological marvel; it’s a tool clinicians trust to make data-backed decisions quickly. Dive deeper into the intersection of AI and healthcare, and explore how Bayesian Health is setting new industry standards for patient care.

LINKS

Read the Future Medicine AI Hub 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

 

4 ways the health care system should shift its thinking on AI, according to experts

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.

LINKS

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

 

As AI promises to revolutionize medical note-taking, concerns mount about accuracy and harm

03/28/23 – Stat – As AI promises to revolutionize medical note-taking, concerns mount about accuracy and harm

Fantastic article from Stat, featuring Suchi Saria, PhD exploring the nuance of clinical AI, workflow orchestration, augmentation and other “sticky” issues swirling around artificial intelligence and machine learning.

LINKS

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

Does Ethical AI Development Rely On The “Algorithmically” Underserved?

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!*

LINKS

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

2022 Year-End Review-AI: Artificial Intelligence Initiatives Accelerate in Healthcare

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.

LINKS

Read the Healthcare Innovation article

Read more about Bayesian Health’s approach to Adaptive AI

Navigating the ‘Wild West’ of AI adoption in healthcare

12/20/22 Modern Healthcare – Navigating the ‘Wild West’ of AI adoption in healthcare

Right now, clinical AI adoption in healthcare can feel like the ‘wild west’ due to the lag in the regulator’s ability to keep pace with the dynamics within the marketplace. Consequently, health systems are taking matters into their own hands, forming internal guardrails to measure performance and substantiate AI investments across their clinical ecosystems. Ultimately, it comes down to innovation, risk-appetite and, most importantly, trust.

Our founder and CEO, Dr. Suchi Saria is quoted – “You can have the best technology in the world, but if [care teams] don’t trust it, they won’t use it, and you can’t see any benefit”.

LINKS

Read the Modern Healthcare article

Read more about Bayesian Health’s approach to Adaptive AI

Early detection of sepsis with the help of AI

11/20/22 Healthcare In Europe – Early detection of sepsis with the help of AI

Suchi Saria, PhD, director of the Machine Learning and Healthcare Lab at Johns Hopkins, who led this work, explains that TREWS automatically and continuously monitors disparate clinical data, including vital signs, laboratory data, medication history, procedure and clinical history, and physician notes. It generates a continuous real-time “sepsis score” that can trigger an alert to healthcare staff. Clinical caregivers can analyse why the TREWS alert was generated, accept or dismiss it, and initiate timely treatment on patients confirmed to be septic.

‘Our results showing high physician adoption and associated mortality and morbidity reductions are a milestone for the field of AI,’ comments Saria. ‘They are the culmination of nearly a decade of significant technological investment, deep collaboration, the development of novel techniques, and rigorous evaluation. Further, what’s most exciting here is that this approach is applicable not just to sepsis but to many other critical complications.’

LINKS

Read the Healthcare In Europe article

Read more about Bayesian Health’s approach to Adaptive AI

Doctors Still Struggle to Diagnose a Condition That Kills More Americans Than Stroke

10/16/22 The Atlantic – Doctors Still Struggle to Diagnose a Condition That Kills More Americans Than Stroke

In July, Johns Hopkins researchers published a trio of studies in Nature Medicine and npj Digital Medicine showcasing an early-warning system that uses artificial intelligence. The system caught 82 percent of sepsis cases and significantly reduced mortality. While AI—in this case, machine learning—has long promised to improve health care, most studies demonstrating its benefits have been conducted using historical data sets. Sources told me that, to the best of their knowledge, when used on patients in real time, no AI algorithm has shown success at scale.

LINKS

Read The Atlantic article

Learn more about Bayesian’s peer-reviewed research on sepsis here

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