Boston, MA
Westin Copley Place
11-12 June, 2020 | Boston, MA

Topics for Submissions

For the 2020 HIMSS Machine Learning & AI for Healthcare event, we want speakers who can speak authoritatively and from experience on how to implement these technologies into healthcare settings. Case studies are a priority and must demonstrate real results and share practical insights to help attendees mature their own AI and machine learning initiatives.

The goal for this event is to provide information and insights to help attendees implement these technologies so they can move the needle and help their organizations achieve clinical and strategic goals.

Topics of interest include but are not limited to:

  • Improving outcomes
  • Addressing ethical Issues
  • Infrastructure considerations: People, Processes Technology
  • Machine learning & AI’s Role in transforming healthcare
  • Predicting and preventing adverse outcomes & iIlness
  • Aligning with business goals
  • Deep Learning
  • Natural language processing (NLP)
  • Augmenting the human
  • Replacing the human
  • Improving quality & safety
  • Intelligence that drives workflow & quality
  • Improving clinical decision support
  • Governance & stakeholder support
  • Adoption & implementation best practices
  • Harnessing insights to drive clinical transformation
  • Data governance & quality
  • Interoperability
  • Building trust with clinicians
  • How to partner with vendors
  • Making learning & AI work for clinicians – avoiding workflow disruptions
  • Building an ecosystem that drives performance

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