HIMSS18 Annual Conference
Wynn Las Vegas
Mar. 5, 2018

How the Cloud Enables Machine Learning and Personalized Medicine

March 5, 2018
4:10pm - 4:35pm
Mouton 2

Personalized medicine and machine learning are two of the hottest topics in healthcare, and no event at HIMSS would be complete without offering a perspective on their potential to transform healthcare. In this session, attendees will learn how the cloud offers a great opportunity to maximize their combined potential to drive value by improving outcomes.

Zeeshan Syed, founder of Health at Scale and director and clinical associate professor at Stanford Medicine, will discuss the use of the public cloud's development capabilities for iterative design of powerful machine learning systems and the execution of massive-scale experiments for machine-based learning.

As a case study, Zahoor Elahi, senior vice president of Optum, will discuss how UnitedHealthcare leveraged Health at Scale's machine-learning cloud platform to coordinate care for 40 million members and proactively refer patients to individually-optimal providers within complex care networks.

Key takeaways:

  • As more clinical and claims data becomes available, cloud-based machine learning allows for continuous refinement of predictive algorithms.
  • Cloud deployment allows modular machine learning algorithms to be updated and improved via input from a multi-disciplinary team of stakeholders.
  • Cloud computing democratizes machine learning and makes it accessible to different stakeholders in the health care system.
  • Running parallel experiments at scale allows machine learning to iteratively get smarter about predicting optimal providers for specific patients.


Zeeshan Syed

Director of the Clinical Inference and Algorithms Program
Stanford Health Care

Zahoor Elahi

Senior Vice President of Strategic Product Management

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