September 5 - 6, 2024
| Boston
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Leverage the Power of Machine Learning and AI in Healthcare

The COVID-19 pandemic has exposed stark inadequacies and existing disparities within public healthcare infrastructures around the world and accelerated the use of virtual healthcare, machine learning (ML) and artificial intelligence (AI) applications. With successful implementation, adoption and optimization of these tools, healthcare systems across the world are seeing how important these technologies can be to revolutionize how healthcare data is analyzed and delivered, and how it can impact organizational structure and patient care.

The Machine Learning & AI for Healthcare Forum will offer practical, concrete examples of how ML and AI have an impact in healthcare today. We’ll look at where the technology is being applied, how to avoid bias in the data, and how to implement this tech to help improve the delivery of care at leading healthcare organizations.

Key Program Takeaways

  • Apply need-to-know concepts before MLAI is introduced in your organization
  • Learn how to maximize the impact of machine learning and AI
  • Hear case studies on using machine learning and AI to detect bias
  • See how to integrate machine learning and AI into clinical workflows
  • Understand the how MLAI will affect the patient experience
  • Discover how to scale analytics into clinical operations

See Full Schedule
 

This year’s program will include sessions on

  • Turning machine learning into a practical tool rather than a one-off project
  • Multiple fireside chats with other clinicians on what they would like to see from the technology they use daily
  • How to use and share data in an impactful way that can give actionable insights
  • The different implications of using data in a meaningful way, regardless of size of your organization
  • Small group digital dialogues where you can discuss key topics with peers
  • Addressing the legal and ethical questions when introducing new tools to your organization
  • How bias can affect the data you use and the populations you serve
  • Updated FDA regulations regarding machine learning
  • How to continue practicing empathy and listening with the patient in a digital environment

Please note, this program is subject to change at any time. You have the option to purchase digital-only registration access. You’ll experience a unique program with personalized learning from the convenience of home.

Contacts

HIMSS Media - Healthcare Information and Management Systems Society

4300 Wilson Boulevard - Suite 250
Arlington, VA 22203 USA
For general inquiries: eventregistration@himss.org

Press

Karen Groppe
Karen.Groppe@himss.org

Registration and General Inquiries

Events Team
eventregistration@himss.org

Speaker Relations

Chianti Seitz
Chianti.Seitz@himss.org

Sponsor Services

Elizabeth George
Elizabeth.George@himss.org

Sponsorships

Sales Team
hello@himssmedia.com

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