Description
Using a case study methodology, we outline the development, validation, and implementation process for a novel, machine learning-based CDS model that suppresses low value vaccination alerts.
Learning Objective: Participants will be able to name and discuss four key factors to consider when building and implementing ML models for suppressing clinical decision support alerts.
Authors:
Sara Chokshi, NYU School of Medicine
Ji Chen (Presenter)
NYU School of Medicine
Roshini Hegde, NYU School of Medicine
Eduardo Iturrate, NYU Langone Health
Yindalon Aphinyanaphongs, NYU School of Medicine
Javier Gonzalez, NYU School of Medicine
Devin Mann, NYU School of Medicine
Presentation Materials: