Print Page | Contact Us | Sign In | Join
Webinar - Predictive Analysis and Machine Learning
Tell a Friend About This EventTell a Friend
 

3/23/2018
When: March 23, 2018
12:00 PM - 1:00 PM
Where: United States
Contact: TxHIMA
512-540-4441


Online registration is closed.
« Go to Upcoming Event List  

Overview

You’ve heard about AI and machine learning changing the way health care is delivered, as well as the way we do our jobs in HIM. This presentation is an introductory overview to the topics, their current and proposed use, as well as recommendations for building your skills in this new field.

 

Speaker

Susan Fenton, PhD, RHIA, FAHIMA, President - TxHIMA; Associate Dean for Academic Affairs and Assistant Professor - UTHealth School of Biomedical Informatics

Susan H. Fenton, PhD, RHIA, FAHIMA, is Associate Professor and Associate Dean for Academic Affairs at the University of Texas Health Science Center at Houston (UTHealth) School of Biomedical Informatics. Dr. Fenton teaches health informatics standards and health informatics safety and security, among other topics. Dr. Fenton has served as PI for various grants, including a recently awarded $1 million ONC Curriculum Development and Training grant, a $5.4 million university-based training grant from the Office of the National Coordinator and a $900,000, 2-year health IT workforce research and training grant from the Texas Governor’s Office. The textbook, “Introduction to Healthcare Informatics,”which Dr. Fenton co-authored with Sue Biedermann, was published by AHIMA Press in July of 2013. Dr. Fenton has worked in the health information management field for nearly 30 years as a researcher, practice leader, and academician. Among other honors, Fenton has received the 2012 AHIMA Triumph Award for Research. She holds a PhD in Health Services Research from the Texas A&M School of Rural Public Health, an MBA from the University of Houston, and a BS in Health Information Management from UTMB Galveston.

 

Access Instructions
Access instructions will be provided in confirmation email. For technical assistance with the webinar, please contact txhima@txhima.org.
 
Registration

Please note: All TxHIMA webinars are available on-demand. This means that webinars will be recorded and sent out to all who have registered, even if they register after the webinar has occurred, or if they cannot make the time and date set for the live webinar.

Cancellation

On Demand webinars are non refundable. If you cannot attend the event, you may provide a substitute or cancel your reservation.

Cancellations must be in writing and received before 10 days prior to the event. You may e-mail txhima@txhima.org. The entire registration fee will be retained by TxHIMA for cancellations received after the cancellation date. A $25.00 cancellation fee will be retained by TxHIMA for cancellations received prior to the registration date.