Videos and Podcasts
Reducing the Healthcare Gap with Explainable AI
Dave DeCaprio, CTO & Co-Founder, and Maria Palombini, Director of the IEEE SA Healthcare and Life Sciences global practice, discuss how AI presents a new perspective on transparency, reduction of bias, and a path toward health stakeholders’ trust with explainability in its applications.
Fairness is not a math problem. Healthcare disparities are a global challenge requiring more than just physical care. Identifying and leveraging social determinants of health is a largely untapped key to closing the healthcare gap. Join Dave DeCaprio, Chief Technology Officer & Co-Founder, and Maria Palombini, Director of the IEEE SA Healthcare and Life Sciences global practice, as they discuss how AI presents a new perspective on transparency, reduction of bias, and a path toward health stakeholders’ trust with explainability in its applications.
Listen to the podcast
Related Resources
A Framework for Measuring the ROI and Health Equity Impact of AI-Enabled Health Programs
Discover a useful framework that your organization can use to evaluate programs’ ROI and impact on health equity, especially when introducing an artificial intelligence / machine learning component.
Practice-Based Evidence Improving Health Equity Requires Transforming our Focus, Tools, and Systems
Access this on-demand webinar with AIMed to hear Carol McCall, Chief Health Analytics Officer at WellSect, describe how: (1) there are still significant gaps in evidence regarding effective health equity interventions, (2) closing this gap will require expanding the ways evidence is created and used, and (3) organizations are better positioned than they may think to adopt new methods now and can play an active role in improving health equity.
Context is King in Complex Interventions
Traditional program evaluation approaches fall short when it comes to assessing complex interventions, but HCOs must be capable of evaluating whether or not their programs work if they are to succeed in healthcare’s new business model. Without a “gold standard” evaluation approach, how can HCOs measure the sustainability and impact of their interventions?
