MACHINE LEARNING & AI: A HIMSS EVENT
LAS VEGAS, NV - MARCH 5, 2018
Eric is a senior vice president for Product Development at Health Catalyst. His team is building the next generation of Health Catalyst products that leverage the awesome power of data to aid in clinical decision making. His team is responsible for a broad portfolio of applications including a patient registry platform, patient safety decision support, and new technologies like machine learning and natural language processing.
Eric has spent the majority of his career innovating and implementing technology to improve healthcare and health sciences. During the early part of his career, he built a genomics data resource to support a global research community at Northwestern University Feinberg School of Medicine. Then Eric transitioned to the clinical data warehouse team at Northwestern as one of the principal architects. His role then expanded to managing the research arm of the data warehouse. In this position, he ensured the data warehouse was effectively leveraged to power outcomes research, care improvement, and recruitment of patients into research studies.
There’s a ton of buzz around machine learning and artificial intelligence and the role they’ll play in revolutionizing and improving healthcare, but what are these evolving technologies, how are they different, and what are the multiple layers of use?
No complex health IT ever created has been plug-and-play. The same goes for ML and AI. To take full advantage of its potential, will require a lot of work.
In this morning leadership panel, our speakers look at the current state of machine learning and AI in healthcare and address where we are, where we are going, and what we need to do to get their faster.
What education do stakeholders need? What new vocabulary is required? How do you integrate ML and AI into operational and clinical processes? How do you show ROI?
Our speakers will address these questions and others head-on in a fascinating and insightful discussion that sets the stage for the speakers to follow.