A3: Industrial Hygiene 4.0 — The Next Iteration of the OEHS Profession

Felix Boachie, MS CIH CSP Moderator
McCormick & Company
Hunt Valley, MD 
United States of America
Mwangi Ndonga, CIH, CSP, CHMM Presenter
Ball Corporation
Westminster, CO 
United States of America
Dr. Emanuele Cauda Co-Presenter
Pittsburgh, PA 
John Snawder, PhD, DABT Co-Presenter
Cincinnati, OH 
United States of America
Mon, 5/23: 10:00 AM - 11:00 AM CDT
Education Session 
Music City Center 
Room: Meeting Room 105 A 


The term fourth industrial revolution (Industry 4.0) was introduced in 2015 and was the theme of the World Economic Forum in 2016. Industry 4.0 is characterized by a fusion of technologies that is blurring the lines between physical, digital, and biological spheres. In this education session, we introduce the provocative term Industrial Hygiene 4.0, an evolution from traditional IH. We will contrast current approaches to exposure assessment and other industrial hygiene activities, with tech-focused IH 4.0 ones. IH 4.0 has higher confidence in informed priors, faster data collection, structured and unstructured data, stakeholder-focused data dissemination, widely-affordable technology, and ethically-vetted decision making. The presentations will include: a) IH 1.0 vs. IH 4.0 project scoping; b) IH 4.0 big data extraction, cleaning, and tidying; c) application of machine learning algorithms; d) right sensors used right enables practitioners to collect IH 4.0 forward data; e) role of TWAs in 24/7-connected worker data sets; and f) new concepts that OEHS practitioners should start using.

Learning Outcomes

Upon completion, the participant will be able to:

• Define Industrial Hygiene 4.0.
• Anticipate the change in the OEHS profession relative to IH 4.0.
• Describe big data, machine learning, and artificial intelligence.
• Recognize the opportunities for machine learning in OEHS decision making.
• Demonstrate how right sensors used right can make IH 4.0 more accessible to workers and OEHS professionals. 

Content Level


Interactive Session Experience



Also part of the Virtual Program
Available as part of AIHce OnDemand
Big Data
Hazard Recognition/Exposure Assessment
Sensor Technology