BACKGROUND: Considering the potential importance of health care workers (HCWs) in maintaining and improving the health of society, we decided to investigate the factors affecting the health-related quality of life (HRQoL) of HCWs using machine learni...
The importance of effective clinical leadership has been reflected in an increase in leadership development programmes. However, there remains a lack of consensus regarding the optimal structure, content and evaluation of such programmes. This review...
BACKGROUND: Trust in artificial intelligence (AI) remains a critical barrier to the adoption of AI in mental health care. This study explores the formation of trust in an AI mental health model and its human-computer interface among clinicians at a w...
BACKGROUND: Case-based learning using standardized patients is a key method for teaching communication skills in medicine. Besides logistical and financial hurdles, standardized patients portrayed by actors cannot cover the complete diversity of soci...
BACKGROUND: The use of artificial intelligence (AI) methods in palliative care research is increasing. Most AI palliative care research involves the use of routinely collected data from electronic health records; however, there are few data on the vi...
BACKGROUND: Building on the assertion that nearly every clinician will eventually use artificial intelligence (AI), this study provides a triangulated qualitative analysis of the requirements, challenges, and prospects for integrating AI into routine...
Digital health is expected to improve the efficiency and quality of health. Health information technologies (HIT) imply allocated time, appropriate training, and new types of responsibility, whose physical and mental impact on health care professiona...
BACKGROUND: Effective communication is essential in medical practice, especially in dealing with the increasing number of patients presenting with mental health conditions. Feedback plays a crucial role in improving communication skills but is often ...
PURPOSE: This article explores the transformative role of artificial intelligence (AI) in healthcare medical education, highlighting the urgent need to integrate AI into medical curricula. It examines the current gaps in AI literacy among healthcare ...
This study investigates the specific impacts of Industry 4.0 technologies-such as artificial intelligence, Internet of Things (IoT), and data-driven automation-on collaboration, communication, service efficiency, and organizational performance within...
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