The development of a web-based app employing machine learning for delirium prevention in long-term care facilities in South Korea.

ABSTRACT:

Background

Long-term care facilities (LCFs) in South Korea have limited knowledge of and capability to care for patients with delirium. They also often lack an electronic medical record system. These barriers hinder systematic approaches to delirium monitoring and intervention. Therefore, this study aims to develop a web-based app for delirium prevention in LCFs and analyse its feasibility and usability.

Methods

The app was developed based on the validity of the AI prediction model algorithm. A total of 173 participants were selected from LCFs to participate in a study to determine the predictive risk factors for delerium. The app was developed in five phases: (1) the identification of risk factors and preventive intervention strategies from a review of evidence-based litera

SUBMITTER: Moon KJ 

PROVIDER: S-EPMC9383654 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature