June EHS news roundup

Welcome to our June EHS news roundup!

June 14th marked the two year anniversary of the Grenfell tower fire. 72 people died in the tragedy, which grossly highlighted the UK's irregulated fire safety procedures.

In other news: safety managers warned about employee diabetes, OSHA short-staffed and leaderless, dealing with measles at work, and how machine learning reduces workplace accidents.

Read on for the full scoop.

Grenfell anniversary: Have lessons been learned two years on?

SHP Online

"With news that hundreds of buildings still have ‘unsafe’ cladding, IFSEC Global Editor Adam Bannister asked a number of fire safety experts whether, two years on from the worst residential fire in living memory, there has been an adequate cultural shift – in government, the construction industry and among responsible persons – and whether this will persist." Read more »

‘Don’t turn a blind eye to diabetes’, safety managers are warned

SHP Online

"An estimated 4.7 million people in the UK are affected by diabetes which, if not treated with proper medication and a healthy diet, can be life-threatening. Perhaps more surprisingly, around 1 million people are undiagnosed and are living with diabetes without knowing about it." Read more »

Neglect leaves OSHA short-staffed and leaderless


"A small spate of new stories surrounding Workers’ Memorial Day in late April represents the latest doom and gloom reports. One article talks of “a desperate moment for OSHA,” “OSHA’s weakened status” and a “toothless OSHA” due to a severe staffing shortage. How many times has OSHA been described as “toothless”? It’s a wonder the agency has any teeth left." Read more »

Dealing with the Measles Epidemic

EHS Today

New York recently caused a public furor by ending its religious exemption for vaccinations because of the alarming spread of measles throughout the population. Which raises an obvious question for businesses: What should employers do in the face of this epidemic?" Read more »

How Machine Learning Will Reduce Workplace Accidents


"Machine learning (ML) is a term for the processes by which a machine automatically learns to improve with experience. The use of ML (more commonly known as predictive analytics) is a growing phenomenon that is making a pivotal impact on occupational health and safety by significantly reducing costs related to both injury prevention and unforeseen equipment maintenance." Read more »

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