MACHINE LEARNING & AI: A HIMSS EVENT

LAS VEGAS, NV - MARCH 5, 2018

HIMSS18 Annual Conference
Wynn Las Vegas
Mar. 5, 2018

Trust, Transparency and Transformation

March 5, 2018
8:35am - 9:05am
Lafleur

We are in an age of disruptive technology.  While disruption is much needed in healthcare, transformation will require integration and collaboration.  Technology, including machine learning and AI analytics, is not the solution on its own; rather it is a tool that can enable a new solution.  Therefore, we must not forget the challenges of integrating technology into new or re-designed workflows and training our workforce in new or re-defined roles in order to realize the desired outcome.

In this opening keynote, renowned physician and scientist Lynda Chin takes a hard look at what else is needed for machine learning and AI to move beyond hype and deliver on its promise to transform healthcare.  It is more than just the analytics.  It boils down to needing:

  • Data: AI algorithms need data, lots of it, from clinical and real-world settings, not just a snapshot but longitudinal and contextualized
  • Ground truth:  Machine learning needs ground truth, but black and white “truth” is rare in medicine;
  • Expertise: Training algorithms requires domain expertise, not just technical competence
  • Learning: Algorithms need to evolve based on feedback, better evidence, new knowledge

At the end of the day, algorithms do not treat patients, doctors do. Therefore, as Chin explains, collaboration between the domain experts and the technologists will be necessary to establish the trust and transparency to drive adoption to realize the transformative impact of AI.

Speakers

Lynda Chin

Executive Director, Real-World Detection and Intervention Platform
University of Texas System

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