The changes and the potential clinical applications of cytokines in Taiwan's major venomous snakebites patients.

Background: Taiwan habu (Protobothrops mucrosquamatus), green bamboo viper (Viridovipera stejnegeri), and Taiwan cobra (Naja atra) are the most venomous snakebites in Taiwan. Patients commonly present with limb swelling but misdiagnosis rates are high, and currently available diagnostic tools are limited. This study explores the immune responses in snakebite patients to aid in differential diagnosis.

Identifying necrotizing soft tissue infection using infectious fluid analysis and clinical parameters based on machine learning algorithms.

Background: Determining the presence of necrotizing soft tissue infection (NSTI) poses a significant hurdle. As of late, there has been a notable increase in the application of artificial intelligence (AI) machine learning techniques in identifying diseases, a shift that can be attributed to their exceptional efficiency, unbiased nature, and high precision.

Methods: Information was gathered from a cohort of 13 patients suffering from NSTI, alongside 12 patients with cellulitis.

Exploring Experiences of Conflict within Medical Teams in an Emergency Department: A Focus Group Approach during the COVID-19 Pandemic.

The factors related to conflicts in emergency departments (EDs) have been studied for decades. The post-pandemic digital era may transform the medical landscape in EDs, potentially changing the patterns of conflict between healthcare professionals. This study used focus group interviews to explore conflicts in EDs.

Impacts of interprofessional education on collaborative practice of healthcare professionals: A systematic review and meta-analysis.

Objective: To investigate and statistically synthesise data on the effects of interprofessional education on healthcare professionals' collaborative practice among healthcare professionals.

Design: A systematic review and meta-analysis.

Data Sources: Seven databases and the grey literature were searched to collect relevant studies from database inception to 15 May 2023.

Interdisciplinary simulation-based teaching and learning for healthcare professionals: A systematic review and meta-analysis of randomized controlled trials.

Aim: This study aimed to investigate the effects of interdisciplinary simulation-based teaching and learning on the interprofessional knowledge of healthcare professionals.

Background: Interdisciplinary simulation-based teaching and learning have been employed to prepare learners to collaborate in clinical settings. This strategy could help healthcare professionals to better understand each other, develop interdisciplinary shared values and promote mutual respect between professions, while reducing errors and adverse events in hospital.