Skip to main content
Showing 56 - 60 out of 87
On Demand

AMIA Health Informatics Essentials: Foundational Knowledge

Type
Health Informatics Essentials
Course Level
Introductory to Intermediate
Credits
5.00
CME
5.00
CNE
Foundational Knowledge is a component of AMIA’s Health Informatics Essentials, a series of educational offerings that promote the profession of health informatics and its power to transform health care. Target Audience Professionals involved in direct or indirect care of patients who desire to learn more about the practice of health [...]
On Demand

JAMIA Journal Club Webinar - December 2021

Type
Webinar
Predicting next-day discharge via electronic health record access logs Author You Chen, PhD, FAMIA discusses this month's JAMIA Journal Club selection: Zhang X, Yan C, Malin BA, Patel MB, Chen Y. Predicting next-day discharge via electronic health record access logs [published online ahead of print, 2021 Sep 30]. J Am [...]
On Demand

AMIA 2022 Artificial Intelligence Evaluation Showcase Informational Webinar

Type
Webinar
Artificial Intelligence is moving and shaping health and healthcare at lighting speed. The benefits of AI are multifold, but informatics research and practice is needed for the systematic and comprehensive evaluation of AI tools. AI in health and healthcare must be safely and effectively deployed in healthcare settings. Such evaluation [...]
On Demand

JAMIA Journal Club Webinar - October 2021

Type
Webinar
A likelihood-based convolution approach to estimate major health events in longitudinal health records data: an external validation study Author Lisiane Pruinelli, PhD, MS, RN, FAMIA , discusses this month's JAMIA Journal Club selection: Pruinelli L, Zhou J, Stai B, et al. A likelihood-based convolution approach to estimate major health events [...]
On Demand

JAMIA Journal Club Webinar - September 2021

Type
Webinar
Credits
1.00
CME
Identifying risk of opioid use disorder for patients taking opioid medications with deep learning Author Fusheng Wang, PhD , discusses this month's JAMIA Journal Club selection: Dong X, Deng J, Rashidian S, et al. Identifying risk of opioid use disorder for patients taking opioid medications with deep learning. J Am [...]