Explore AI’s data challenges in healthcare with Ryan Sousa, VP of Data and Analytics/AI at Pivot Point Consulting. With decades of experience, including leadership roles at Amazon and Nokia-acquired startups, he discusses AI’s data complexity, ethical considerations of AI in healthcare access, and key insights for healthcare leaders. Tune in to gain expert perspectives on AI’s evolving role in healthcare.
In the most recent HIMSSCast, we explore the crucial concerns relating to artificial intelligence in healthcare. Ryan Sousa, a specialist with more than 30 years of expertise in data innovation in a range of industries, including healthcare, joins us to discuss the data issue presented by AI and its implications for the development of healthcare information technology (HIT).
As the Vice President of Data and Analytics/AI at Pivot Point Consulting, a Vaco Company, and also holding the role of Chief Data and Analytics Officer at Children’s Minnesota, Ryan brings a wealth of knowledge to the conversation. Having previously served as the Senior Vice President of two startups later acquired by industry giants Amazon and Nokia, he has been at the forefront of data-driven innovation. Notably, he played a pivotal role in driving the analytics transformation at Seattle Children’s in his capacity as the Chief Data and Analytics Officer.
During the interview, Ryan Sousa addresses three key challenges within the realm of AI and healthcare. Firstly, he dives into AI’s data predicament, highlighting the complexities and opportunities it presents. Secondly, the discussion revolves around the intersection of AI and the right to health, emphasizing the ethical considerations surrounding the use of artificial intelligence in promoting equitable healthcare access. Lastly, Ryan provides insights into what healthcare executives and clinicians need to be aware of regarding AI’s current landscape.
Tune in to this episode as Ryan Sousa offers his expertise, drawing from his extensive background in data and analytics, to provide valuable insights into the evolving landscape of AI in healthcare.
