A roadmap to implementing machine learning in healthcare: from concept to practice

A roadmap to implementing machine learning in healthcare: from concept to practice

BackgroundThe adoption of machine learning (ML) has been slow within the healthcare setting. We launched Pediatric Real-world Evaluative Data sciences for Clinical Transformation (PREDICT) at a pediatric hospital. Its goal was to develop, deploy, evaluate and maintain clinical ML models to improve p...

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Main Authors: Adam Paul Yan, Lin Lawrence Guo, Jiro Inoue, Santiago Eduardo Arciniegas, Emily Vettese, Agata Wolochacz, Nicole Crellin-Parsons, Brandon Purves, Steven Wallace, Azaz Patel, Medhat Roshdi, Karim Jessa, Bren Cardiff, Lillian Sung
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Digital Health
Subjects:
machine learning
clinical prediction models
implementation
clinical utilization
electronic health records
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2025.1462751/full
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https://www.frontiersin.org/articles/10.3389/fdgth.2025.1462751/full

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