Data science, machine learning, and artificial intelligence have the potential to transform healthcare in profound ways. In this episode of CXOTalk, we speak to Dr. Shez Partovi, Chief Medical, Innovation & Strategy Officer at Royal Philips to discuss how these technologies are already improving patient outcomes, diagnosing disease, and more.
The conversation includes these topics:
-- On Philips as a health tech company
-- On the role of data in healthcare transformation
-- On the need to rethink data analytics in transforming healthcare
-- On data collection and data sources in health transformation
-- On linking data science in healthcare to improved patient outcomes
-- On creating incentives for data-sharing in healthcare
-- On choosing the right problems to solve in data science
-- On avoiding bias in data-centric healthcare
-- On patient lock-in based on data silos in healthcare
-- On whom should be responsible for bad data, algorithms, and patient outcomes
-- On the future of data and AI in healthcare
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Read the full transcript for this episode: https://www.cxotalk.com/episode/how-can-data-science-ai-transform-healthcare
Shez leads Philip's global Innovation & Strategy organization, including the Chief Technology Office, Research, HealthSuite Platforms, the Chief Medical Office, Product Engineering, Experience Design, and Strategy. Innovation & Strategy, in collaboration with the operating businesses and the markets, is responsible for directing the company strategy to delight our customers and advance our growth and profitability ambitions.
Shez joined Philips from Amazon Web Services (AWS), where he served as Worldwide Head of Business Development for Healthcare, Life Sciences and Medical Devices. Prior to joining AWS in 2018, Shez spent 20 years at Dignity Health, the fifth largest health system in the U.S. He started his career in 1998 as a neuroradiologist at the Barrow Neurological Institute and was in clinical practice until 2013. In addition to his medical training at McGill University in Montreal, he has post-graduate qualifications in computer science. He helped launch the Biomedical Informatics Department at Arizona State University and taught there as a clinical professor for three years.