POWER OF DATA ANALYTICS TO IMPROVE AND PERSONALIZE OUR HEALTH

Alloutcoach

In the latest episode of the Alloutcoach Podcast I spoke with Dr. Pierantonio Russo, (Corporate Chief Medical Officer @Eversana), a cardiac and heart transplant surgeon, former Chief of Cardiac Surgery and Pediatric Cardiac Surgery at a various top academic hospitals across the U.S. with expertise in machine learning, data analytics, health economics and population medicine with leadership roles at large national health plans such as Independence Blue Cross and Harvard Pilgrim Health. In this conversation he shares his enthusiasm for the potential of computation and technology to advance medicine and addresses critical topics of health equity, electronic medical records, and quality of care. Dr. Russo discusses numerous specific case studies from state of the art examples and publications from other innovators in medicine as well as from his career to explain how he has applied his experience as a clinical, administrative, and academic leader in medicine to impact large populations of patients using advanced data analytics, Machine Learning, AI and medical informatics. 3:42 What are some of the most memorable moments in your career as a cardiac transplant surgeon? 5:21 How did his experience as a cardiac surgeon spark his interest in studying the impact of computation and machine learning on advancing medicine? 6:59 How do you think health payers can partner with providers to help make better clinical decisions? 13:52 How are health providers who work at health plans responding to unprecedented growth in the volume of data to better identify and analyze patients? 16:31 Examples of predictive ML models in healthcare directly affecting and improving quality of care 22:06 Are there differences in access to genetic testing in the US vs other countries? 22:57 How can advanced ML models help identify genetic mutations earlier at the RNA level? 26:20 What is the focus of your current work at EVERSANA? 29:03 What type of data is required to ensure access to trials or treatments, adherence and maintenance of care? 33:03 How can patients hold on to their own patient records so they can expect to receive the same high quality of care as they move from one provider or health system to the next? 35:25 Dr Russo: Take caution when you interpret medical information across various social and other media outlets. 36:53 How do you hope to improve the explainability of ML/AI applications in medicine through your education and enthusiasm for their potential?