Turn Data into Action
Damian Mingle, MBA
Chief Data Scientist | Intermedix
Nolan Rhem, MBA
Vice President, Operations | Intermedix
Artifical Intelligence (AI) and machine learning hold great promise for clinical and operational improvement in healthcare. However, deploying a new technology in the clinical setting can be exceptionally challenging. This can be especially true for organizations attempting to establish a machine learning-based approach to clinical care given the large quantities of standardized data, potential workflow changes, and general education required to make it successful.
This session provides a blueprint for deploying machine learning enabled technology and processes in the clinical setting. Packed with first hand insights and lessons learned from real world deployments, it offers examples of how to introduce, implement and communicate the complex concepts of a sustainable data science strategy.
Demonstrate how to introduce machine learning to your organization.
Describe successes and roadblocks experienced when taking machine learning from the lab to the field.
Explore expert insight on communicating complex machine learning concepts in a way providers and administrators can understand.
Discover how to make a machine learning approach sustainable in the clinical setting.
About the HIMSS Clinical & Business Intelligence Community
Our Community offers opportunities to obtain practical knowledge and guidance to help you turn data into action.
We share tools, resources, and best practices about data use and management solutions that are efficient, effective and measurable. Together we can help our healthcare organizations sustain business healthy while delivering quality patient care.
Engage with peers and industry leaders through virtual learning sessions. Share your knowledge, ideas, and thoughts through monthly interactive webinars and social media engagement.
Join the Community and be a part of the movement Turn Data into Action.
[Steps to join: Clink on the previous link | Click on "Edit Participations" | Check the “Clinical & Business Intelligence Community” box | Click "Save"]
The community convenes virtually most 4th Thursdays of the month from 1:00-2:00 pm ET.