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Live In Person
On Demand

Clinical Informatics Board Review Course (CIBRC) Bundle

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Type
Course
Credits
55.00
CME
Phoenix, AZ The CIBRC Bundle is a Premium Package offering all of AMIA’s clinical informatics board review tools at a discount. Participants have the opportunity to engage in self-paced learning using CIBRC Online Plus, with its 27 lectures of content directly related to the Delineation of Practice along with the [...]
Live Virtual

Effectively Scaling an Enhanced Care Management Program

Type
Webinar
Advancing CalAIM in Ventura County, California, through effectively scaling an Enhanced Care Management program focused on cohorts of patients with both clinical and non-clinical resource needs CalAIM (California Advancing and Innovating Medi-Cal), a state and federally funded 1115 Medicaid Waiver program, was introduced to health systems in 2021 offering contracting [...]
Live Virtual

JAMIA Journal Club Webinar - June 2024

Type
Webinar
Credits
1.00
CME
1.00
CNE
Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models Journal of the American Medical Informatics Association , 2024;, ocae071 Read the Abstract Presenter Statement of Purpose The timely stratification of trauma injury severity can enhance the quality of trauma care but it requires [...]
Live Virtual

National Academies of Medicine Artificial Intelligence Code of Conduct Webinar

Type
Webinar
Join us for a webinar outlining the National Academies of Medicine (NAM) Artificial Intelligence Code of Conduct (AICC) discussion draft. Several AMIA leaders are leading the AICC project and would appreciate feedback from AMIA members to take back to NAM to potentially incorporate into the final publication.
Live Virtual

JAMIA Journal Club Webinar - April 2024

Type
Webinar
Credits
1.00
CME
1.00
CNE
Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data J Am Med Inform Assoc. 2024 Jan 18;31(2):456-464. doi: 10.1093/jamia/ocad213. Read the abstract Presenters Statement of Purpose The integration of the vast available EHR data and artificial intelligence (AI) in [...]