Approaches for the Use of AI in Workplace Health Promotion and Prevention: Systematic Scoping Review

Area of Science:

• Occupational Health
• Artificial Intelligence
• Public Health

Background:

• Artificial intelligence (AI) offers significant potential for workplace health promotion and prevention (WHPP) interventions.
• Despite AI's prevalence in other health fields, its application in WHPP research remains under-investigated.
• WHPP interventions focus on improving employee well-being and reducing workplace-related health risks.

Purpose of the Study:

• To systematically review the current utilization of AI in WHPP.
• To identify characteristics of AI studies in WHPP.
• To determine which WHPP fields and interventions are addressed by AI and their outcomes.

Main Methods:

• A systematic scoping review adhering to PRISMA-ScR guidelines was performed.
• Searches were conducted in PubMed, IEEE, and ACM databases for English-language, peer-reviewed studies from January 2000 to December 2023.
• Data extracted included study design, AI algorithms, WHPP fields, and intervention outcomes.

Main Results:

• Ten studies met the inclusion criteria, with risk prevention and modeling being the most common WHPP fields (n=6).
• Machine learning and deep learning algorithms were prevalent, often integrated into smartphone applications or utilizing smartphone data.
• Behavioral interventions typically lasted 8-12 weeks and included control groups; three studies assessed AI model robustness.

Conclusions:

• AI in WHPP is currently underexplored despite its potential for personalized interventions and risk prediction.
• Future research should expand AI applications across all WHPP domains, incorporate longitudinal data, and establish reporting guidelines.
• Broader investigation is needed to fully leverage AI for enhancing workplace health and safety.