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On Demand

JAMIA Journal Club Webinar - February 2024

Type
Webinar
Credits
1.00
CME
Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare Journal of the American Medical Informatics Association , Volume 31, Issue 2, February 2024, Pages 435–444, https://doi.org/10.1093/jamia/ocad195 Read the abstract Presenter Maryam Zolnoori, PhD, is a postdoctoral research scientist in the School of [...]
On Demand

JAMIA Journal Club Webinar - October 2023

Type
Webinar
Systematic design and data-driven evaluation of social determinants of health ontology (SDoHO) Yifang Dang and others, Systematic design and data-driven evaluation of social determinants of health ontology (SDoHO), Journal of the American Medical Informatics Association, Volume 30, Issue 9, September 2023, Pages 1465–1473. Read the abstract Watch the Recording Presenters [...]
On Demand

JAMIA Journal Club Webinar - September 2023

Type
Webinar
Automated detection of causal relationships among diseases and imaging findings in textual radiology reports Journal of the American Medical Informatics Association, ocad119, https://doi.org/10.1093/jamia/ocad119 Read the abstract Presenter Dr. Charles Kahn is Professor and Vice Chair of Radiology at the University of Pennsylvania. He is a practicing radiologist with expertise in [...]
On Demand

AMIA 10x10 with University of Utah

Type
AMIA 10x10
Course Level
Intermediate
Credits
0.00
CME
Clinical Decision Support This contribution from the University of Utah to the AMIA 10x10 program is an in-depth course about Clinical Decision Support (CDS) tools, standards, and implementation. The course is designed and taught by leaders and experts in the field. The instructors are affiliated with the Department of Biomedical [...]
On Demand

JAMIA Journal Club Webinar - August 2023

Type
Webinar
More than algorithms: an analysis of safety events involving ML-enabled medical devices reported to the FDA Read the abstract Watch the Recording Presenters Dr. David Lyell is a Postdoctoral Research Fellow at the Australian Institute of Health Innovation, Macquarie University. David studies the use of AI/ML technologies in healthcare, in [...]