Contents
Introduction to AI in BGM
- Definition and importance of AI in healthcare management.
- Historical development and current trends.
Possible applications of AI in healthcare management
- Preventive health measures.
- Diagnosis and treatment of health problems.
- Personalized health promotion.
AI-supported analysis of health data
- Data acquisition and processing.
- Analysis for health risks.
- Health monitoring and evaluation.
Personalized health promotion through AI
- Individual health plans and recommendations.
- Coaching and support from AI systems.
- Feedback and motivation for employees.
Automation of processes in BGM
- Scheduling and resource management.
- Communication and information exchange.
- Integration with other company systems.
data privacy and ethics in AI-supported BGM
- Security measures for health data.
- Transparency and trust in dealing with AI.
Practical examples and use cases of AI in BGM
- Successful implementation of AI solutions.
- Lessons learned and recommendations for implementation.
Learning environment
In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.
Your benefit
- Gain insights into the many possible applications of artificial intelligence in occupational health management and understand how AI-based solutions can help optimize your health promotion measures.
- By learning about current trends and best practices, you will be able to make your OHM more effective and targeted and promote the health and productivity of your employees in the long term.
Methods
Trainer input, practical case studies, discussion, exchange of experiences, question and answer sessions.
Recommended for
BGM managers, HR managers, health managers, company managers who are interested in innovative solutions for optimizing occupational health management.
Further recommendations for "AI in occupational health management (OHM)"
Seminar evaluation for "AI in occupational health management (OHM)"







Start dates and details

Tuesday, 03.02.2026
00:01 h - 23:59 h