AIMC Topic: Workplace

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Artificial intelligence in the workplace: a living systematic review protocol on worker safety, health, and well-being implications.

Systematic reviews
BACKGROUND: Advancements in artificial intelligence (AI) are transforming employment and working conditions in ways that shape the safety, health, and well-being of workers. We describe a protocol for a living systematic review (LSR) that will examin...

Impact of Connected Mental Health on the Work Environment of Mental Health Clinicians: Protocol for a Systematic Literature Review.

JMIR research protocols
BACKGROUND: Many mental health professionals face work-related stress due to high job demands, limited control, and inadequate institutional support. Connected mental health (CMH) technologies such as mobile apps and teletherapy platforms are increas...

Automated Evaluation of Reflection and Feedback Quality in Workplace-Based Assessments by Using Natural Language Processing: Cross-Sectional Competency-Based Medical Education Study.

JMIR medical education
BACKGROUND: Competency-based medical education relies heavily on high-quality narrative reflections and feedback within workplace-based assessments. However, evaluating these narratives at scale remains a significant challenge.

Neural predictors of hidden, persistent psychological states at work.

Proceedings of the National Academy of Sciences of the United States of America
Common workplace challenges such as feeling overwhelmed, burned out, or disengaged often remain hidden due to fear of judgment or social norms, contributing to rising mental health crises and organizational dysfunction. This study presents a brain-ba...

Wearable sensors for monitoring workplace chemical exposures in occupational health management.

Analytical methods : advancing methods and applications
This review evaluates the current state of wearable chemical sensors for occupational health applications, emphasizing both their promise and their limitations. We systematically compare electrochemical, optical, photoionization, and chemiresistive p...

AI-Enabled, Text-Based Health Coaching and Navigation for Employees to Support Health Outcomes: Pre-Post Observational Study.

JMIR formative research
BACKGROUND: Limited, timely access to quality mental health treatment harms well-being and quality of life while costing individuals and organizations millions in increased medical spending and reduced productivity. Too few qualified professionals, i...

Boosted neural network modeling of psychological and social factors of work affecting safety performance and job satisfaction in the process industry.

BMC psychology
Psychological and social factors of work were found to influence workers' safety performance and job satisfaction. This study aimed to assess the effects of psychological and social factors of work affecting safety performance and job satisfaction of...

AI integration and workforce development: Exploring job autonomy and creative self-efficacy in a global context.

PloS one
This paper explores the relationship between Artificial Intelligence (AI) integration in the workplace, cultural orientation, and its impact on job autonomy and creative self-efficacy. Our study employs a mixed-method experimental design across 480 i...

Early detection of occupational stress: Enhancing workplace safety with machine learning and large language models.

PloS one
Occupational stress is a major concern for employers and organizations as it compromises decision-making and overall safety of workers. Studies indicate that work-stress contributes to severe mental strain, increased accident rates, and in extreme ca...