AOHC Encore 2024-114 Global OEM for the UN Workforce: Mission Possible

Video Transcription

Video Summary

In a presentation by Dr. Jasmika Goldoni-Lestadius and Dr. Matthias Lademann on the UN Occupational Health and Safety Management System, they discuss the Global OEM Initiative within the UN workforce. The initiative is led by the UN Health Intelligence Working Group composed of UN Medical Directors for interagency data management, analysis, and visualization. This group aims to assess health and safety risks at three levels: population health management, workplace, and general environment. They have been collecting data through surveys since 2013, with over 61 million data points collected so far. The surveys address various aspects of health and safety, including mental health, physical health, COVID-19 impact, ergonomics, and disability inclusion. The presentation highlighted the challenges faced by the UN workforce, such as high workload demands, lack of resources, and lack of time for family and friends. The presentation also discussed the development of dashboards for data visualization and analysis to aid in decision-making. Furthermore, the speakers emphasized the importance of knowledge dissemination, data literacy for leaders, and the use of artificial intelligence and machine learning for data analysis. They also mentioned plans for the future, including the validation of the survey tool, integration of psychosocial risk assessment, and the inclusion of environmental factors in health assessments. The presentation showcased the efforts of the UN in promoting occupational health and safety among its diverse workforce and the continuous improvements being made to ensure a healthy work environment for all employees.

Keywords

UN Occupational Health and Safety Management System

Global OEM Initiative

UN Health Intelligence Working Group

Interagency data management

Population health management

Workplace safety

Data visualization

Mental health

COVID-19 impact

Artificial intelligence and machine learning