The effects of applying artificial intelligence to triage in the emergency department: A systematic review of prospective studies.

Introduction: Accurate and rapid triage can reduce undertriage and overtriage, which may improve emergency department flow. This study aimed to identify the effects of a prospective study applying artificial intelligence-based triage in the clinical field.

Design: Systematic review of prospective studies.

Online Mindfulness-Based Interventions for Healthcare Professionals: A Scoping Review.

Background: Healthcare professionals work in challenging environments with extended working hours and excessive workloads to provide high-quality care. However, they hardly get the time to care for themselves. Online mindfulness-based interventions-which are not restricted by time or location-can be a powerful strategy to help healthcare professionals.

Development of an Artificial Intelligence-Based Tailored Mobile Intervention for Nurse Burnout: Single-Arm Trial.

Background: Nurse burnout leads to an increase in turnover, which is a serious problem in the health care system. Although there is ample evidence of nurse burnout, interventions developed in previous studies were general and did not consider specific burnout dimensions and individual characteristics.

Objective: The objectives of this study were to develop and optimize the first tailored mobile intervention for nurse burnout, which recommends programs based on artificial intelligence (AI) algorithms, and to test its usability, effectiveness, and satisfaction.

Nurses' media competency: A concept analysis.

Objectives: To analyze and define the concept of nurses' media competency.

Design: Concept analysis.

Data Sources: We conducted a literature search in PubMed, CINAHL, PsycInfo, and RISS International, as well as a hand-search, for relevant articles published between January 1990 and April 2023.

The Potential of Chatbots for Emotional Support and Promoting Mental Well-Being in Different Cultures: Mixed Methods Study.

Background: Artificial intelligence chatbot research has focused on technical advances in natural language processing and validating the effectiveness of human-machine conversations in specific settings. However, real-world chat data remain proprietary and unexplored despite their growing popularity, and new analyses of chatbot uses and their effects on mitigating negative moods are urgently needed.

Objective: In this study, we investigated whether and how artificial intelligence chatbots facilitate the expression of user emotions, specifically sadness and depression.

Factors influencing the burnout dimensions among nurses: A cross-sectional study in South Korea.

Aim: To investigate the factors influencing three dimensions of burnout among clinical nurses in South Korea.

Design: Descriptive, correlational and cross-sectional study.

Methods: We recruited 300 clinical nurses to participate in an online survey conducted in June 2021.

Symptoms and management of long COVID: A scoping review.

Aim: This scoping review aims to describe published work on the symptoms and management of long COVID conditions.

Background: Symptoms and management of COVID-19 have focused on the acute stage. However, long-term consequences have also been observed.