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Live In Person
On Demand

Clinical Informatics Board Review Course (CIBRC) Bundle

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
CalAIM rollout in Ventura County, California: 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 program, was introduced to health systems in 2021 offering contracting for enhanced care management [...]
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 - May 2024

Type
Webinar
Credits
1.00
CME
1.00
CNE
Sociotechnical feasibility of natural language processing-driven tools in clinical trial eligibility prescreening for Alzheimer’s disease and related dementias Journal of the American Medical Informatics Association , Volume 31, Issue 5, May 2024, Pages 1062–1073, Read the Abstract Presenter Statement of Purpose Current clinical trials continue to suffer from low recruitment [...]
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 [...]