09/12/23 – Recognizing Sepsis Awareness Month 2023: Every Second Counts

September is Sepsis Awareness Month, a critical period for shedding light on a condition that remains the leading cause of hospital deaths in the United States. Initiated by the Sepsis Alliance in 2011, this annual awareness campaign brings together individuals, healthcare professionals across various disciplines, and organizations large and small to amplify the urgency of understanding and combating sepsis.

The Staggering Statistics

Sepsis is a severe and often fatal response to infection, affecting a staggering 1.7 million people and causing the death of 350,000 adults in the U.S. each year. What’s more alarming is that research indicates up to 80% of sepsis-related deaths could potentially be prevented with swift diagnosis and treatment. For every hour that treatment is delayed, the risk of mortality skyrockets by approximately 8%. These numbers underline the imperative nature of education and awareness about sepsis.

At the Core of Bayesian Health’s Mission

Early detection and timely intervention are not just statistical factors; they lie at the very heart of Bayesian Health’s mission. Our commitment to driving efficacy in clinical AI directly aligns with the pressing need for rapid evaluation and treatment of sepsis. By developing tools that empower healthcare providers to diagnose sepsis early, we’re not just innovating; we’re striving to save lives.

Act Now: Resources for Awareness

Our team at Bayesian Health advocates for effective and immediate action to raise sepsis awareness. We strongly recommend taking advantage of the following resources to escalate public understanding of sepsis in your community:

• Sepsis Alliance – Sepsis Awareness Month Toolkit: This comprehensive guide provides in-depth information and ideas for promoting awareness. Download it here.
• The National Association of County Health Officials: They offer a variety of materials and educational pieces on how you can get ahead of sepsis. Visit their website for more information.

Awareness is the first step towards a significant impact. This Sepsis Awareness Month, let’s unite to disseminate knowledge, drive timely interventions, and ultimately, save lives.

Spread the word, because when it comes to sepsis, every second counts.

o3/05/23 –Reducing Variability of Care with Bayesian’s AI Platform

Inconsistent and variable care delivery can lead to negative consequences for hospitals, patients, and payers. Bayesian’s AI platform is designed to help reduce variability in care, improve clinical outcomes, and enhance overall patient satisfaction.

Defining Variability

Variability of care refers to the differences in the way patients are treated and the outcomes they receive based on a wide array of factors such as demography, what hospital they have access to and the care practices employed in their treatment. There are many factors contributing to variability, including lack of evidence-based protocols and fragmented care delivery systems.

The Impact of Variable Care Practices

Variability of care can lead to unequal access to care, inconsistent quality of care, and higher costs for patients, hospitals and payers. These can affect patient satisfaction and create a lack of trust in the healthcare system. Payers also face financial consequences from variability in care, as they may have to cover the cost of additional treatments, longer hospital stays, or readmissions.

How Bayesian’s AI Platform Addresses Variability

Bayesian’s AI platform is designed to address variability in care by providing clinicians with real-time insights and personalized treatment recommendations. The platform uses an adaptive, modular framework that considers a patient’s unique physiology, clinical protocol, provider workflow, and hospital operations. This approach helps clinicians make more informed decisions and reduces the likelihood of variability in care delivery for a wide range of critical condition areas such as sepsis, all-cause deterioration, pressure injuries, and transitions of care, just to name a few.

Practical Uses of Bayesian’s Clinical AI to Standardize Care Practices:

• Bayesian’s AI platform can be tailored to different clinical settings and hospital needs, providing a personalized approach to care.
• The multi-modal platform identifies patterns and trends in patient data that traditional practices/methods may miss.
• Bayesian provides access to evidence-based guidelines and best practices, leading to better treatment decisions and outcomes.
• By automating certain tasks, the platform reduces the time it takes to provide care, improving patient outcomes and reducing costs associated with unnecessary procedures and extended hospital stays.

Our Unique Approach

Unlike previously studied models, Bayesian’s approach is clinically grounded, thinking like a clinician. Clinicians use the platform as an extra set of eyes and ears, making it an effective tool in improving the overall quality of care. The platform uses Bayesian statistical models to analyze patient data, such as medical history, lab results, and vital signs. These models allow clinicians to identify potential risks and predict patient outcomes based on data from similar patients. The platform also provides real-time feedback to clinicians on their treatment plans, alerting them to any potential issues or opportunities for improvement.

Benefits of Reducing Variability

Variability in care can have negative consequences for hospitals, patients, and payers. However, with Bayesian’s AI platform, clinicians can have access to real-time insights and personalized treatment recommendations that can help reduce variability in care delivery. By using Bayesian’s AI platform, hospitals can improve clinical outcomes, enhance patient satisfaction, and reduce costs associated with longer hospital stays or readmissions.