07/21/22 STAT – Serving as a ‘clinical colleague,’ AI shows potential to reduce sepsis deaths in real-world studies
Reducing sepsis death through Bayesian’s machine learning solution. “The most effective tools will be those that enhance, rather than try to replace, the capabilities of bedside clinicians: those that turn a large volume of data and information into actionable knowledge and wisdom””
Learn more about Bayesian’s peer-reviewed research on sepsis here
07/21/22 NATURE MEDICINE – A real-time early warning system for sepsis detection shows promising adoption by healthcare providers and important improvements in patient outcomes.detection shows promising adoption by healthcare providers and important improvements in patient outcomes.
Sepsis is a notoriously difficult condition to manage, mainly because of challenges with its early detection, and it continues to have a high mortality rate; a recent meta-analysis reported a pooled 30-day rate of 24%. Sepsis can develop outside or inside the hospital, on general care units or in the ICU — in one study, 41% of cases occurred outside the ICU, where patients are less closely monitored.
Read the NATURE MEDICINE editorial
Learn more about Bayesian’s peer-reviewed research on sepsis here
07/21/22 Politico – Artificial Intelligence Offers Hope in Reducing Sepsis Deaths
Interesting article from Politico about Bayesian Health AI technology’s ability to detect sepsis earlier. “There are very few studies that have looked at actual outcomes post deployment of a model like this,” said Steven Lin, executive medical director of Stanford’s Healthcare AI Applied Research team. “They looked at adoption and what actually made it work — not just that it did work, but how did it work.”
Learn more about Bayesian’s peer-reviewed research on sepsis here
07/22/22 AI Thority – Bayesian Health and Johns Hopkins University Announce Ground-Breaking Results With a Clinically Deployed Artificial Intelligence Platform
New health AI system from Bayesian detects sepsis earlier. Where Early AI Deployments Have Failed to Produce Real-World Results, Bayesian Demonstrates Reduced Mortality, Long-Term Efficacy, High Adoption and Fewer False Alerts in a Trio of Prospective, Peer-Reviewed Studies
Learn more about Bayesian’s peer-reviewed research on sepsis here
Hospitals and health systems are rolling out more tools that analyze and crunch data to try to improve patient care—raising questions about when and how it’s appropriate to integrate race and ethnicity data….READ MORE
The healthcare sector has met artificial intelligence with a mixture of excitement and apprehension. In a world where clinicians are overwhelmed by data, many view predictive AI solutions as necessary tools that can be paired with human expertise and judgment. When done ‘right’, these tools… READ MORE
Race can sound like straightforward information to collect from patients—but changes to how race has been categorized over time, how consistently demographic information is asked of patients and how patients think about race make it a data point worth taking with a grain of salt in patient records, experts say… READ MORE
LifeBridge Health Selects Bayesian Health’s Research-Backed AI Platform to Help Diagnose and Treat Pressure Injury, Sepsis, and Patient Deterioration
NEW YORK, OCTOBER 20, 2021—Bayesian Health today announced that LifeBridge Health will be deploying its AI-based clinical decision support platform to help diagnose and treat pressure injury, sepsis, and patient deterioration. Bayesian Health’s platform operates within Epic and Cerner electronic medical records (EMR), deploying state-of-the-art artificial intelligence and machine learning (AI/ML) strategies to detect patient complications early.
Bayesian Health’s research-based AI platform takes existing EMR data, analyzing patient, clinical and third-party data with its industry-leading AI/ML models. The platform sends accurate and actionable clinical signals within existing workflows when a critical condition is detected, helping physicians and care team members accurately diagnose, intervene, and deliver timely care. The technology also includes a performance optimization engine which helps secure long-term physician, nurse and care team engagement with the tool.
“Like all health systems, our physicians must navigate large amounts of health data as they make decisions about patient care. As we look for ways to support our teams, we are interested to see how this new tool may work within the current workflow while allowing for some customization to augment the decision-making process for each provider or practice,” says Tressa Springmann, senior vice president and chief information officer at LifeBridge Health.
“LifeBridge has always looked for new and innovative ways to deliver high quality, compassionate care, and Bayesian Health’s research-backed platform will help LifeBridge Health’s physicians and care team members deliver on this mission,” said Suchi Saria, CEO of Bayesian Health. “I’m also thrilled to welcome Lee and Gary to Bayesian Health as founding members of our advisory board. They recognize the immense opportunity for health systems to improve patient outcomes and save lives by leveraging the Bayesian platform to augment physician and nurse decision-making with crucial data.”
Lee Sacks, MD, is the former Chief Medical Officer at Advocate Aurora, responsible for safety, quality, population health, insurance, claims, risk management, research, and medical education. He previously served as Executive Vice President, Chief Medical Officer of Advocate Health Care as well as the founding CEO of Advocate Physician Partners.
“Health Systems remain under market pressure to improve outcomes while reducing costs,” said Lee Sacks, MD. “Though health systems have made substantial investments in their EMR over the last decades, most are struggling to leverage their data in a way that supports clinicians in improving outcomes. Bayesian Health’s evidence-based AI/machine learning platform applied to sepsis outperforms what has been in the marketplace, and as a platform solution applied to many clinical areas, I believe it will enable health systems to achieve the dual goals of improving outcomes while reducing costs.”
Gary E. Bisbee, Jr., PhD, is founder, chairman and CEO of Think Medium, a digital media company focused on healthcare leadership, and sits on the Cerner board of directors. Prior to Think Medium, Bisbee was co-founder, chairman and CEO of The Health Management Academy, and he served as CEO and in various board of directors roles at ReGen Biologics, Inc., Aros Corporation, and APACHE Medical Systems, Inc.
Said Gary E. Bisbee, Jr, PhD, “Building technology that can adeptly analyze and manage messy EMR and healthcare data is hard. Building technology that physicians and nurses want to use day in and day out is even harder. Bayesian’s platform is uniquely positioned to bridge the gap between basic data and information a clinician needs to support a care decision. Accurate and actionable clinical decision support–that physicians want to use–is long overdue in the space, and the impact Bayesian Health will have on patient outcomes will be substantial.”
With a research-first foundation of over 21 patents and peer-reviewed research papers, Bayesian Health is approaching the market with a transparent and results focused strategy. It recently published a large, five site study analyzing use and practice impact over two years for Bayesian’s sepsis module. The platform drove 1.85 hour faster antibiotic treatment and demonstrated high, sustained adoption by physicians and nurses (89% adoption), driven by the sensitivity and precision of the insights and user experience of the software.
Bayesian Health’s technology overcomes common hurdles faced by many in the field by using cutting edge strategies to increase precision, make the models stronger, and encourage behavior change and on-going use. As a result, Bayesian’s technology accuracy is 10x higher than other solutions in the marketplace, driving tangible patient outcomes. To learn more about Bayesian Health, visit bayesianhealth.com.
Bayesian Health is on a mission to make healthcare proactive by empowering physicians and care team members with real-time data to save lives. Just like the best physicians continually incorporate new data to refine their prognostication of what’s going on with a patient, Bayesian Health’s research-based AI platform integrates every piece of available data to equip physicians and nurses with accurate and actionable clinical signals that empower them to accurately diagnose, intervene, and deliver proactive, higher quality care.
Bayesian Health, a health data startup created by Johns Hopkins researcher Suchi Saria, PhD, launched its artificial intelligence-powered clinical decision support platform on the commercial market July 12, according to a news release. READ MORE
