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?