Basic knowledge of occupational health management

Introduction to occupational health management (OHM)

• Definition of terms and basic models of occupational health management: from health promotion to salutogenesis.
• Using key figures correctly: what can be gleaned from internal and public key figures and how this information can be used to make a case to management.

Setting priorities and levers

• The development of disease: multifactorial cause analysis.
• Derived from the key figure analysis: Where should we really start?
• The principle of data-supported, pinpoint intervention.
• Use of AI for key figure analysis.

Mandate, roles, steering committee

• The role of health managers in the overall corporate structure.
• The BGM steering committee and its composition.
• Addressing, picking up and involving stakeholders in the company.
• A must-have: the robust mandate for health managers.
• Involvement of management, executives and works council.
• Committee structure for various types of companies and groups.

Core strategies and overall process

• Data-driven decisions on priorities: Develop offerings based on data.
• Early detection of health issues: Analysis and visualization of health indicators, data from risk assessments (mental health), and demographic group indicators (GDPR-compliant).
• Strengthening self-care: in-house social counseling, EAP, and external support services.
• Introduce absence management as a process.

Use of AI in health management

• Use of large language models for the analysis of data, reports, and specialist literature.
• Possible uses of advice chatbots.
• Discussion of data protection aspects and presentation of a solution approach with local AI models for non-urgent tasks.

Note: The use of AI is explained using examples and at a basic level. Detailed technical training is not part of the seminar.