Course Overview
This 10-module course provides participants with the tools and methodologies to leverage data analytics in enhancing occupational health and mental wellbeing strategies. Designed for HR professionals, data analysts, health and safety officers, and organizational leaders, the course focuses on applying data-driven OHS decision making, HR analytics for mental health trends, and reporting on employee health metrics. Participants will learn how to collect, analyze, and interpret data to optimize workplace wellbeing programs and effectively track the impact of health interventions.
DURATION
10 Days
Target Audience
-
HR Analysts and Data Professionals
-
Occupational Health and Safety Officers
-
Organizational Psychologists
-
Corporate Wellness Managers
-
Compliance and Risk Officers
Course Level: Intermediate to Advanced
Learning Objectives
By the end of this course, participants will:
-
Apply analytics to improve occupational health and mental wellbeing outcomes
-
Implement methods for measuring impact of wellbeing programs
-
Use HR analytics for mental health trends in strategic planning
-
Perform data-driven OHS decision making for risk prevention
-
Analyze absenteeism and presenteeism data to identify root causes
-
Improve reporting on employee health metrics to internal and external stakeholders
COURSE OUTLINE
Module 1: Introduction to Data Analytics in Occupational Health
-
Role of data in workplace health strategy
-
Overview of analytics frameworks and tools
-
Identifying key OHS and mental health indicators
Module 2: Data Collection and Management
-
Sources of employee health data
-
Ensuring data accuracy, privacy, and security
-
Integrating HR, EHS, and wellness program data
Module 3: HR Analytics for Mental Health Trends
-
Recognizing trends in stress, burnout, and engagement
-
Dashboards and alerts for early detection
-
Using predictive analytics for mental health risk modeling
Module 4: Measuring Impact of Wellbeing Programs
-
Designing KPIs for health initiatives
-
Tracking utilization and outcomes of wellness programs
-
Evaluation methods for “measuring impact of wellbeing programs”
Module 5: Absenteeism and Presenteeism Analysis
-
Tools for “analyzing absenteeism and presenteeism data”
-
Identifying patterns linked to health or workplace stress
-
Linking insights to workforce planning and policies
Module 6: Advanced Data Visualization and Communication
-
Creating meaningful dashboards and infographics
-
Customizing reports for various audiences
-
Storytelling with data for wellness advocacy
Module 7: Reporting on Employee Health Metrics
-
Key elements of “reporting on employee health metrics”
-
Internal and external reporting standards
-
Case Study: Transparent health data reporting for ESG and compliance
Module 8: Data-Driven Decision Making in OHS
-
Practical models for “data-driven OHS decision making”
-
Scenario analysis and decision trees
-
Embedding analytics in HSE risk management
Module 9: Ethics, Bias, and Responsible Use of Data
-
Avoiding bias in health-related data interpretation
-
Ethical data use and consent
-
Ensuring inclusivity and equity in analysis
Module 10: Developing a Health Analytics Action Plan
-
Building a roadmap for analytics in occupational health
-
Integrating mental health and OHS insights into HR strategy
-
Final Project: Designing a data dashboard for wellness and OHS outcomes
Customized Training
This training can be tailored to your institution needs and delivered at a location of your choice upon request.
Requirements
Participants need to be proficient in English.
Training Fee
The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.
Certification
A certificate from Ideal Workplace Solutions is awarded upon successful completion.
Accommodation
Accommodation can be arranged upon request. Contact via email for reservations.
Payment
Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.
For further inquiries, please contact us on details below:
