Machine Learning and Augmented Intelligence Webinar – Lunch and Learn
Recorded on: February 27, 2019
CEUs: 1.0 – Technology
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.
Susan Fenton, PhD, RHIA, CPHI, FAHIMA
Susan H. Fenton, PhD, RHIA, CPHI, FAHIMA is an Associate Professor and the Associate Dean for Academic Affairs at the University of Texas School of Biomedical Informatics in Houston, TX. She is responsible for their graduate certificates, master’s and doctoral degree programs. She recently led the development of the nation’s first practice doctorate in health informatics (DHI). Dr. Fenton has received more than $7 million in grant funding and also serves on a variety of regional and national professional association committees and boards. Dr. Fenton has more than 30 years experience in health informatics and health information management. Dr. Fenton holds a B.S. in health information management from UTMB in Galveston, an MBA from the University of Houston and a PhD in health services research from Texas A&M.
Access instructions to the recording will be provided within 2 business days following receipt of payment.
NCHIMA/AHIMA Members: $15
This webinar will be available on-demand. This means that webinar will be recorded and sent out to all paid registrants, even if they register after the live webinar has occurred, or if they cannot make the time and date set for the live webinar.
No refunds, as the event is recorded and playback will be available for at least 90 days from the event date.
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If you are paying by check, select “mail a check” under payment options. You will later see instructions to print the confirmation page and mail your payment to KnowledgeConnex. The mailing address will be on the invoice. Make your check payable to KnowledgeConnex and include the confirmation/order number with the check. Checks that do not reference the confirmation number will be returned to you and will not be applied to the registration.