As Suchi continues to break new ground in healthcare, letâs all hope that she is right.
Hear Suchi talk about:
Why Bayesian Health?
⢠Smart humans make decisions based on new incoming data and historical knowledge.
⢠In healthcare, with vast data available in just the last several years, Bayesian aims to operationalize that decision making by surfacing data in an easy and usable way to augment clinicians who are doing more with less, treating sicker patients, and often feeling burnt out.
State of play of AI/ML in healthcare:
⢠Digital tools adoption and ChatGPT has led to a lot of excitement but also hype.
⢠Behind the curtain (and the marketing) of AI/ML solutions:
⢠Look for teams that have deep expertise in both the technology and the domain.
⢠Expect reproducible results â clinically validated; financially validated; and stakeholder approved.
⢠This is really hard. Progress will not happen overnight. But the opportunity is real. This means putting one foot in front of the other every day.
Finding her compass â healthcare:
⢠Meant moving from doing what was very hard to doing what was very important and meaningful.
⢠Itâs personal. Losing her nephew to sepsis fueled the urgency and her focus âto solve thisâ.
Professional growth and where she spends her time:
⢠Every moment of growth has come from a moment of crisis.
⢠She may have a brutal schedule, but work is play and play is work. Early mornings start with just thinking and often end watching comedy. Living in NYC, every day can be an adventure.
Future opportunity with AI/ML in healthcare:
⢠Expect an explosion of diagnostic software tools that can aid clinicians in real time with patient specific risk assessments.
⢠Expect to see measurable clinical impact in the areas of:
⢠Early detection
⢠Timely improvement in outcomes
⢠Reduction in diagnostic errors
⢠Time savings for clinicians
⢠Overall reduction in healthcare waste
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BIO
Suchi Saria is the Founder and CEO of Bayesian Health, the John C. Malone Associate Professor of computer science, statistics, and health policy, and the Director of the Machine Learning and Healthcare Lab at Johns Hopkins University. She has published over 50 peer-reviewed articles with over 3000 citations and was recently described as âthe future of 21st century medicineâ by The Sloan Foundation. Her research has pioneered the development of next-generation diagnostic and treatment planning tools that use statistical machine learning methods to individualize care.
At Bayesian Health, Dr. Saria is leading the charge to unleash the full power of data to improve healthcare, unburdening caregivers and empowering them to save lives. Backed by 21 patents and peer-reviewed publications in leading technical and clinical journals, Bayesian leverages best-in-class machine learning and behavior change management expertise to help health organizations unlock improved patient care outcomes at scale by providing real-time precise, patient-specific, and actionable insights in the EMR.
Dr. Sariaâs work has received recognition in numerous forms including best paper awards at machine learning, informatics, and medical venues, a Rambus Fellowship (2004-2010), an NSF Computing Innovation Fellowship (2011), selection by IEEE Intelligent Systems to Artificial Intelligenceâs â10 to Watchâ (2015), the DARPA Young Faculty Award (2016), MIT Technology Reviewâs â35 Innovators under 35â (2017), the prestigious Sloan Research Fellowship (2018), and the World Economic Forum Young Global Leader (2018). In sepsis, a life-threatening condition, her work first demonstrated the use of machine learning to integrate diverse signals to make early detection possible (Science Trans. Med. 2015)....