MACHINE LEARNING & AI FOR HEALTHCARE: A HIMSS EVENT

Boston, MA
Westin Copley Place
June 13-14, 2019

Overview

HIMSS will present the 2019 Machine Learning and AI for Healthcare event in Boston, MA on June 13-14.

When it comes to machine learning and AI, we’re beyond hype and already seeing the influence of these technologies in healthcare. However, successful implementation that drives results depends on achieving analytics maturity and ensuring data quality and governance. So, for this event, we’re taking a holistic, workshop approach with a focus on implementation. We’ll begin with sessions on data and analytic building blocks, progressing to proven, real-world approaches for implementing machine learning and AI, and finishing with case studies that demonstrated best practices and lessons learned.

The Machine Learning and AI for Healthcare event is key for anyone looking to drive outcomes and innovation with AI and machine learning.

Expert speakers from leading healthcare organizations will share case studies that demonstrate ROI – better care, cost containment, operational improvements and efficiencies. Attendees will leave with unmatched, practical takeaways to further their own initiatives, whatever their level of experience.

Sessions will address:

  • Data governance and quality
  • Developing an analytics team
  • Scaling analytics into clinical operations
  • How to maximize impact
  • Common misconceptions of AI in Healthcare
  • Integrating machine learning and AI into clinical workflows
  • Making an AI Investment Decision
  • Case studies on using machine learning to detect social determinants of health, address rural health disparities, and detect suicidal thinking
  • And more

Attendees will learn from industry leaders from the following organizations:

  • Providence St. Joseph Health
  • Mt. Sinai Health Systems
  • Beth Israel Deaconess Medical Center
  • Advocate Aurora Health
  • Atrius Health
  • CHOC Children’s
  • UCSF
  • UNC
  • Harvard
  • Parkland Center for Clinical Innovation
  • HIMSS
  • Duke Health
  • UPMC
  • And more

 

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