AI in occupational health management (OHM)

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.