MACHINE LEARNING & AI: A HIMSS EVENT

LAS VEGAS, NV - MARCH 5, 2018

HIMSS18 Annual Conference
Wynn Las Vegas
Mar. 5, 2018

Joshua Rubin

Program Officer, Learning Health System Initiatives
University of Michigan Medical School

Joshua Rubin, JD, MBA, MPH, MPP is program officer for Learning Health System Initiatives at the University of Michigan Medical School’s first-of-its-kind Department of Learning Health Sciences, and is a member of the editorial board of the Learning Health Systems open access journal published by John Wiley & Sons, Inc.. He serves as executive director and vice president of the board of directors of the Joseph H. Kanter Family Foundation.

He is also pro bono executive director of the Vlasic & Roth Lab dedicated to research and development for a LHS, as well as president of the board of directors of Promoting Awareness, Victim Empowerment (PAVE). Rubin serves on the HIMSS Interoperability and HIE Committee, has spoken at a number of HIMSS conferences about the LHS, and has been interviewed by as well as published in several HIMSS publications.

March 5, 2018
9:55am - 10:20am
Lafleur

Over the past several years, artificial intelligence and machine learning, with their ability to analyze, process, and adapt to large volumes of data, information, and knowledge to solve complex problems, have garnered significant investment among the world’s most successful corporations, including Google, Apple, Facebook, Amazon, IBM, GM and Uber.

Healthcare is also now stepping into the AI spotlight in a variety of application areas, including natural language processing (NLP), medical image recognition, clinical decision support, diagnosis, and prediction. But to what degree is healthcare embracing these technologies? What are the perceptions, expectations, sourcing approaches, and initiatives?

In this session, Chilmark Research, a health IT research firm, will shed light on those questions by sharing the results of a survey that included 100+ senior healthcare executives.  

Key areas addressed by the survey:

  • What are the major perceptions of artificial intelligence and machine learning by leading healthcare organizations in terms of applicability, timeframes, and benefits?
  • What are the most compelling health care use cases for AI and machine learning and to what extent are they being pursued in healthcare?
  • How can AI and machine learning enable healthcare organizations to become learning health systems?
March 5, 2018
12:40pm - 1:00pm
Lafleur

One of the best ways learn is to network with your peers. This session will provide an opportunity to meet speakers and attendees who have similar privacy and security challenges and discuss solutions to those challenges.

Here's how it works:

Speakers will be stationed at different tables in the ballroom, and attendees can circulate and speak one-on-one or in groups with individual speakers. The speakers have been assigned different topics, but other topics can also be addressed.

Mingle, share and learn in this interactive environment.

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