LONDON —
Exciting news! We are thrilled to announce that Suchi Saria, PhD has been shortlisted for Health Tech Leader of the Year in the upcoming Health Tech World Awards 2023. What an honor to be recognized among such talented professionals.
Check out the link below for more information on the awards.
An informative discussion between Prof. Shafi Goldwasser, Chief Scientist and Co-Founder of Duality and Suchi Saria, Founder of Bayesian Health focused on where digital transformation and healthcare meet, and how can it impact, improve, and lead to better outcomes?
Saria asks, can the public place their trust in advanced algorithms?
The answer is yes – but only after the public becomes more aware and educated about how models can read data objectively and help healthcare providers make critical decisions. The public should also be educated about how technology is extensively and rigorously validated to help blend human ingenuity with machine-driven decision making.
Once the digital transformation of healthcare is complete – and if done well – Saria hopes to see a significant reduction in mortality rates as well as in healthcare costs. And it’s within reach within as little as 10 years – driven by the innovative technology providers, with the deep expertise of statistics, machine learning and data privacy to optimize patient care.
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.
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”.
Thrilled for Bayesian Health to be nominated to the Business Insider’s list of 33 startups to watch in 2023! The nomination news was even sweeter because it wasn’t from our existing investor base! Bayesian’s been on a ROLL since we came out of stealth last year including our most recent award at UCSF Digital Health Innovation where we were selected as top 3 among 1250 startups! We’re honored.
Care augmentation through AI done right (1) improves outcomes (2) creates caregiver capacity, (3) improves frontline experience, and (4) drives financial benefit in multiple ways! This is especially relevant in today’s environment where care delivery organizations are struggling with declining margins and staffing shortages. At Bayesian, we’re excited to be solving for these significant challenges by working with some of the smartest people and partners to invent the future of Intelligent Care Augmentation (ICA)!
PHILADELPHIA— The Business Intelligence Group announced the winners of the 2022 BIG Awards for Business program. The organization’s annual program was advertised as the “Entrepreneur of the Year” program and was launched to reward leaders in their respective fields .
“This year’s nominees have shown that resilience and determination are needed in today’s economy,” said Maria Jimenez, chief nominations officer for Business Intelligence Group. “We are so proud to reward each of our winners for setting such an inspirational example for the global business community.”
Suchi shares the honor with her co-winner, Justin Borgman, Co-founder and CEO, Starburst
CHAI co-founders Dr. Halamka and Dr. Anderson and CHAI member Suchi Saria of Bayesian Health discuss the importance and timeliness of CHAI’s mission, and share how the organization plans to prioritize patient safety, reliability, equity, transparency, and trust in the healthcare AI development process.
“AI as a field is evolving very rapidly. As a result, there is variable expertise amongst groups in how to go about implementing it correctly and evaluating whether what they’ve implemented is working. There is significant opportunity to accelerate AI adoption by sharing best practices and developing guardrails that the broader community (government, payor and provider groups) can benefit from.” Dr. Suchi Saria
Bayesian Health is proud to announce that we were selected from 1,200+ innovative companies as a 2022 UCSF Health Hub Digital Health Rising Star in the New Health Application of AI category. However, the big surprise came at the end of the ceremony when we were also selected as the rising champion across all categories!
Suchi Saria was there to accept the honors on behalf of her and Bayesian Health team’s amazing work this year! This distinction is especially meaningful as the Digital Health Awards honors outstanding health technologies and innovations dramatically transforming healthcare each year.
LINKS
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.’
