Supporting clinical decision making in the emergency department for paediatric patients using machine learning: A scoping review protocol.

ABSTRACT:

Introduction

Machine learning as a clinical decision support system tool has the potential to assist clinicians who must make complex and accurate medical decisions in fast paced environments such as the emergency department. This paper presents a protocol for a scoping review, with the objective of summarising the existing research on machine learning clinical decision support system tools in the emergency department, focusing on models that can be used for paediatric patients, where a knowledge gap exists.

Materials and methods

The methodology used will follow the scoping study framework of Arksey and O'Malley, along with other guidelines. Machine learning clinical decision support system tools for any outcome and population (paediatric/adult/mixed) for use in the emergenc

SUBMITTER: Leonard F 

PROVIDER: S-EPMC10653406 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature