Our Chief Medical Officer, Dr. Pierantonio Russo, joined on stage at Frontiers Health 2024 to discuss the impact of Machine Learning (ML) on healthcare, particularly in predicting hospital readmissions and managing chronic diseases. In this session, he highlighted a real-world study on using predictive models to identify patients with diabetes and COPD who need continuous EKG monitoring, aiming to reduce clinical and economic burdens.
Dr. Russo also caught a moment to discuss ML in more depth in the Media Lounge, highlighting several key areas where this technology is making a significant impact, particularly in predicting patient outcomes and improving treatment strategies. Let’s explore his insights!
Drawing from his session, he touched on the use of machine learning to predict hospital readmissions. By identifying patients with diabetes or COPD who are at risk of developing arrhythmias, healthcare providers can implement continuous EKG monitoring to manage these conditions more effectively and reduce the likelihood of emergency hospital visits.
He also emphasized the importance of machine learning in managing chronic diseases such as multiple sclerosis (MS). By predicting which patients are likely to progress from relapsing-remitting MS (RMS) to secondary progressive MS (SPMS), clinicians can tailor treatment plans to delay or even prevent disease progression and ensure that patients receive the most effective therapies.
Another critical area of focus was the identification and management of rare diseases. Where ML models can help pinpoint undiagnosed patients and direct them to appropriate centers for genetic testing and therapy initiation. A crucial step for early intervention and improving rare disease management.
How is EVERSANA leading the way in Machine Learning?
EVERSANA has been at the forefront of developing and publishing these innovative machine learning models, earning recognition in peer-reviewed journals. Our work showcases the potential of advanced analytics to revolutionize patient care and support the healthcare community in delivering more precise and effective treatments.
To gain deeper insights into machine learning in healthcare, we invite you to watch the full interview with Dr. Russo. Learn more about EVERSANA’s work in this space here.
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After leaving the Mayo Clinic, from 1988 to 2007, he held academic, clinical and administrative leadership positions as Chief of Cardiac Surgery, Pediatric Cardiac Surgery and Heart Transplantation at several Academic Hospitals in the…