What is risk assessment? Do you check for rain before deciding to carry an umbrella? Doing so is an example of risk assessment, which describes a process for answering three basic questions on a particular hazard:
Exoskeletons used in the workplace are referred to as “industrial exoskeletons.” Their purpose is to augment, amplify, or reinforce the performance of a worker’s existing body components—primarily the lower back and the upper extremity (arms and shoulders). Despite a lack of research, manufacturers of these devices claim productivity gains, work quality improvements, and a reduction of the risk of work‐related musculoskeletal disorders (WMSDs).
What does Artificial Intelligence (AI) have to do with workplace safety and health? NIOSH has been at the forefront of workplace safety and robotics, creating the Center for Occupational Robotics Research (CORR) and posting blogs such as A Robot May Not Injure a Worker: Working safely with robots. However, much remains unknown regarding the related field of AI, specifically the application of AI at work.
They may have been on to something. The National Institute for Occupational Safety and Health (NIOSH) believes that having the right amount of knowledge helps protect workers from harmful levels of chemicals. For this reason, NIOSH recently released a report on occupational exposure banding to assess chemical hazards in the workplace.
Mine was painting fences in my neighborhood. I combined my love of the outdoors with earning money! One homeowner paid me in silver dollars that he had won in Las Vegas.
Whether painting fences, working in the family business, or working in a local shop, restaurant, or office, summer jobs provide valuable opportunities for young people so they can earn money, gain independence, build self-esteem, and explore vocational interests.
The term artificial intelligence, usually referred to as AI, first came into use in the 1956, when computer scientists began to predict that machines had the potential to be programmed to “think” and learn from experience, just like human beings. It was in the 2010s that AI became more of a reality, thanks to the availability of practically unlimited storage capacity on computers, along with faster, cheaper processing power, and a flood of big data.
The opioid overdose epidemic continues to claim lives across the country with a record 47,600 overdose deaths in 2017[i]. The crisis is taking an especially devastating toll on certain parts of the U.S. workforce. High rates of opioid overdose deaths have occurred in industries with high injury rates and physically demanding working conditions such as construction, mining, or fishing[ii],[iii].
In 1735, Benjamin Franklin wroteExternal that “an ounce of prevention is worth a pound of cure.” We might think he was referring to health and medicine—not so. Mr. Franklin was recommending a metal enclosure to prevent bits of hot coals from starting a building fire. He also recommended training and equipping firefighters.
It’s February, which means that Valentine’s Day is right around the corner, and love is in the air. At the National Institute for Occupational Safety and Health (NIOSH), we like to use this time of year as an opportunity to show our appreciation for the personal protective equipment (PPE) that keeps the people we love safe.
In this spirit, NIOSH recently set a goal to improve the safety and health of fire fighters by reducing their exposure to harmful contaminants due to unclean or inadequately cleaned PPE.
It’s a new year, and in many ways a fresh start; but not for the NORA (National Occupational Research Agenda) councils that continue to build on the efforts of the past two years. The ten sector councils from the second decade of NORA carried forward their work to improve occupational safety and health in industry sectors.
Among the articles in the March 2021 issue of ISHN magazine, we discuss fall prevention in regards to the musculoskeletal system, look into building a culture of safety, learn about NFPA 652 compliance and consider advancements in materials manufacturing.