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JAMIA Journal Club Webinar - September 2025

Type
JAMIA Journal Club
Credits
1.00
CME
1.00
CNE
Enhancing Systematic Literature Reviews with Generative Artificial Intelligence: Development, Applications, and Performance Evaluation Read the abstract Moderator Presenters Additional Information Disclosures Presenter The following presenters have no relevant financial relationship(s) with ineligible companies to disclose. Ying Li, PhD, Regeneron Pharmaceuticals, Inc.; Owner/Employee Individual Stocks/ Stock Options. AMIA Staff The AMIA [...]
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Live Virtual icon Live Virtual

JAMIA Journal Club Webinar - August 2025

Type
JAMIA Journal Club
Credits
1.00
CME
1.00
CNE
Primary Care Staff Membersโ€™ Experiences with Managing Electronic Health Record Inbox Messages Read the abstract Moderator Presenter Statement of Purpose The practice of primary care has changed dramatically in recent years to involve providing more care outside scheduled appointments in response to electronic messages from patients. Prior work has characterized [...]
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Developing the Informatics Workforce of Tomorrow

Type
AMIA On Demand
Credits
0.75
CME
0.75
CNE
Design and Development of a Clinical Informatics Fellowship Scheduling Dashboard Using Agile Methodologies Fellowship training in clinical informatics present unique challenges for leaders, instructors, and trainees as graduation requirements, Accreditation Council for Graduate Medical Education (ACGME) expectations, and graduate medical education (GME) budgetary requirements can be complex. We sought to [...]
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JAMIA Journal Club Webinar - July 2025

Type
JAMIA Journal Club
Credits
1.00
CME
1.00
CNE
Alert Design in The Real World: A Cross-Sectional Analysis of Interruptive Alerting at 9 Academic Pediatric Health Systems Read the abstract Moderator Presenter Statement of Purpose Design elements critical for CDS have been recommended in the literature. However, adherence to these recommendations is not clear. In this work, we assessed [...]
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JAMIA Journal Club Webinar - June 2025

Type
JAMIA Journal Club
Credits
1.00
CME
1.00
CNE
Large Language Models Are Less Effective at Clinical Prediction Tasks Than Locally Trained Machine Learning Models Read the abstract Moderator Presenter Statement of Purpose Over the past several decades, medicine has been increasingly aided by artificial intelligence (AI) and particularly machine learning (ML). While model development has advanced, it is [...]