• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • Articles
  • News
  • Events
  • Advertize
  • Jobs
  • Courses
  • Contact
  • (0)
  • LoginRegister
    • Facebook
    • LinkedIn
    • RSS
      Articles
      News
      Events
      Job Posts
    • Twitter
Datafloq

Datafloq

Data and Technology Insights

  • Categories
    • Big Data
    • Blockchain
    • Cloud
    • Internet Of Things
    • Metaverse
    • Robotics
    • Cybersecurity
    • Startups
    • Strategy
    • Technical
  • Big Data
  • Blockchain
  • Cloud
  • Metaverse
  • Internet Of Things
  • Robotics
  • Cybersecurity
  • Startups
  • Strategy
  • Technical

What’s the Data on Workplace Safety?

Dan Matthews / 4 min read.
January 14, 2020
Datafloq AI Score
×

Datafloq AI Score: 81.33

Datafloq enables anyone to contribute articles, but we value high-quality content. This means that we do not accept SEO link building content, spammy articles, clickbait, articles written by bots and especially not misinformation. Therefore, we have developed an AI, built using multiple built open-source and proprietary tools to instantly define whether an article is written by a human or a bot and determine the level of bias, objectivity, whether it is fact-based or not, sentiment and overall quality.

Articles published on Datafloq need to have a minimum AI score of 60% and we provide this graph to give more detailed information on how we rate this article. Please note that this is a work in progress and if you have any suggestions, feel free to contact us.

floq.to/g1AhE

While workplace safety has certainly improved since the introduction of the Occupational Health and Safety Act, or OSHA, in 1970, there is always room for improvement. Data has always been vital to the improvement of workplace safety and in the modern era where data is being generated at an unprecedented level, this information is more important than ever. Workplace safety data specifically can show us what is working, why it is working, and what needs to change in order to make the workplace an even safer environment.

Accidents Happen

Injuries within the workplace are, unfortunately, bound to happen sooner or later. While injuries in an office environment are not uncommon due to falls, poor ergonomics when performing repetitive motions, or bumping into stationary objects, data shows that those working in the natural resources, construction, and maintenance fields are far more likely to sustain nearly every type of injury in comparison. Injury data is important because it highlights how people are becoming injured, the severity of the injuries, and ultimately begins to show a path towards prevention.

This type of data can help a business become more informed on how extensive their workers’ compensation insurance policies should be. For instance, construction work is not only one of the more injurious jobs on the workforce, but can also be one of the most deadly due to falls from great heights, being struck by falling or fast-moving objects, electrocutions, or being caught between two objects and subsequently injured. Understanding how often and why these injuries occur can help to work towards reducing the rate that they occur.

Even as the workforce begins to incorporate more and more robotic assistance and automation tools, injuries will likely never become a thing of the past. While robots may one day take over the bulk of the more dangerous tasks in any field, gravity will always exist, which means things will drop and people will fall. Knowing the likelihood of any given injury in any given field is common sense and will help to make the workplace even safer going forward.

Prevention

Occupational health and safety specialists work tirelessly to reduce and ultimately prevent workplace injuries from occurring in the first place, and they rely on data to do so efficiently and effectively. One of the main facets of an occupational health and safety specialist’s job is to identify and record hazards documented in a workplace, then use that data to create and implement procedures and protocols to help teach employees how to prevent and react to workplace injuries. Data collection is incredibly important when it comes to developing best practices in regards to workplace safety.


Interested in what the future will bring? Download our 2023 Technology Trends eBook for free.

Consent

The regulatory body behind workplace safety standards, OSHA, requires that meticulous records be kept of all work-related illnesses and injuries. This stringent record-keeping system generates a huge amount of data that is then analyzed to create employee training programs designed to reduce injury and illness in the workplace. The data not only identifies common injuries and what causes them, but also highlights accident-prone groups or individuals, allowing a business to relocate them to a safer position in order to prevent injury from occurring.

It isn’t just this work-related injury and illness-specific data that is helping to make workplaces safer, however. Industries like the airline industry use data to predict when planes will need maintenance, reducing the likelihood of the need for unexpected repairs on the runway or malfunctions in the sky. The simple fact of the matter is that data can be applied in a huge variety of ways in order to prevent injury from occurring in the first place.

The Cost Of Workplace Injuries

One of the main draws for businesses to utilize the data at their disposal in order to increase workplace safety is to reduce the cost of injuries or illnesses to their employees overall. Up front, workers’ compensation insurance will already account for a large investment of capital varying by location, type of work, size of business, and claims history. The investment into workers’ compensation insurance policies are well worth it as they help to cover medical expenses, ongoing care costs, disability benefits, and even lost wages.

Data comes into play here as well, as insurance companies are utilizing their huge data pools and analyzing them in order to streamline their operations. Data analysis allows insurance companies to quickly process claims that are determined to be of a low risk of fraudulence, better estimate their loss reserve, detect what claims are likely to be fraudulent, and overall speed along the claims process.

Utilizing data to avoid workplace injuries or illnesses in the first place is preferable, because even though workers’ compensation insurance will often cover much of the cost associated with a lapse in workplace safety, there are hidden costs as well. Other costs can include overtime costs paid out to other employees covering the injured employee’s workload, hiring and training a replacement worker, and a general loss of productivity due to rescheduling and accommodation for the injured worker.

At the end of the day, data relating to workplace safety does so much more than simply track who is suffering from what type of injury. When used properly, this data can help to reduce instances of workplace injury, saving a business a huge amount of money and time in the long run. 

Categories: Big Data
Tags: Big Data, big data knowledge, health, safety, workforce

About Dan Matthews

Dan Matthews is a writer and content consultant from Boise, ID with a passion for tech, innovation, and thinking differently about the world. You can find him on Twitter and LinkedIn.

Primary Sidebar

E-mail Newsletter

Sign up to receive email updates daily and to hear what's going on with us!

Publish
AN Article
Submit
a press release
List
AN Event
Create
A Job Post

Related Articles

How to leverage novel technology to achieve compliance in pharma

March 23, 2023 By Terry Wilson

IoT protocol and commnication standards

March 22, 2023 By Patrick R

Top 6 Cybersecurity Certification Programs in 2023

March 22, 2023 By Lucia Adams

Related Jobs

  • Software Engineer | South Yorkshire, GB - February 07, 2023
  • Software Engineer with C# .net Investment House | London, GB - February 07, 2023
  • Senior Java Developer | London, GB - February 07, 2023
  • Software Engineer – Growing Digital Media Company | London, GB - February 07, 2023
  • LBG Returners – Senior Data Analyst | Chester Moor, GB - February 07, 2023
More Jobs

Tags

AI Amazon analysis analytics application applications Artificial Intelligence benefits BI Big Data business China Cloud Companies company costs crypto Data design development digital engineer environment experience finance financial future government Group health information machine learning mobile news public research security services share skills social social media software strategy technology

Related Events

  • 6th Middle East Banking AI & Analytics Summit 2023 | Riyadh, Saudi Arabia - May 10, 2023
  • Data Science Salon NYC: AI & Machine Learning in Finance & Technology | The Theater Center - December 7, 2022
  • Big Data LDN 2023 | Olympia London - September 20, 2023
More events

Related Online Courses

  • How to Become a Trusted Advisor with Jagdish Sheth
  • CIO/CISO Benelux Summit
  • ''
More courses

Footer


Datafloq is the one-stop source for big data, blockchain and artificial intelligence. We offer information, insights and opportunities to drive innovation with emerging technologies.

  • Facebook
  • LinkedIn
  • RSS
  • Twitter

Recent

  • How BlaBlaCar Built a Practical Data Mesh to Support Self-Service Analytics at Scale
  • How Blockchain Technology Can Enhance Fintech dApp Development
  • How to leverage novel technology to achieve compliance in pharma
  • The need for extensive data to make decisions more effectively and quickly
  • How Is Robotic Micro Fulfillment Changing Distribution?

Search

Tags

AI Amazon analysis analytics application applications Artificial Intelligence benefits BI Big Data business China Cloud Companies company costs crypto Data design development digital engineer environment experience finance financial future government Group health information machine learning mobile news public research security services share skills social social media software strategy technology

Copyright © 2023 Datafloq
HTML Sitemap| Privacy| Terms| Cookies

  • Facebook
  • Twitter
  • LinkedIn
  • WhatsApp

In order to optimize the website and to continuously improve Datafloq, we use cookies. For more information click here.

settings

Dear visitor,
Thank you for visiting Datafloq. If you find our content interesting, please subscribe to our weekly newsletter:

Did you know that you can publish job posts for free on Datafloq? You can start immediately and find the best candidates for free! Click here to get started.

Not Now Subscribe

Thanks for visiting Datafloq
If you enjoyed our content on emerging technologies, why not subscribe to our weekly newsletter to receive the latest news straight into your mailbox?

Subscribe

No thanks

Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

Necessary Cookies

Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.

If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.

Marketing cookies

This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.

Keeping this cookie enabled helps us to improve our website.

Please enable Strictly Necessary Cookies first so that we can save your preferences!