Data science can be used to analyze data on workplace accidents and injuries in order to identify trends and patterns, and to identify areas for improvement. Some specific ways in which data science can be used to reduce workplace accidents include:
Overall, data science can be a valuable tool for reducing workplace accidents by helping organizations to identify high-risk areas, predict and prevent accidents, improve safety training, and enhance safety reporting.
Learn more about predictive safety analytics from the team at CompScience.
May 16, 2023
Learn about transformational safety analytics from CompScience that utilizes workplace video to generate predictive models from that safety managers and ergonomists can use to report and improve injury rates in manufacturing, logistics, construction and more. This 45 min webinar was presented by Kris Mizel, CSP, Head of Loss Control and Lauren Wandell, Head of Ergonomics […]Read more
May 5, 2023
Workers’ compensation insurance is a type of insurance that provides benefits to employees who are injured or become ill as a result of their work. The purpose of workers’ compensation insurance is to ensure that employees have access to medical care and financial support in the event of a workplace injury or illness, and to […]Read more
May 5, 2023
Here are a few strategies that may be helpful in convincing a CFO to prioritize workplace safety. It may not be clear at first why improving safety with analytics is important, but reducing accidents and improving an X-mod has high impact on costs. Talk with CompScience about how we can help reduce injuries with […]Read more
April 30, 2023
The Experience Modification Rate (X-Mod) is a factor that affects a company’s workers’ compensation costs. A high X-Mod indicates that a company has a higher than average number of claims, which can result in higher insurance premiums. From the perspective of safety managers, a high X-Mod suggests that a company’s safety program may not be […]Read more
April 27, 2023
TRIR (Total Recordable Incident Rate) is a measure of how many work-related injuries and illnesses occur in a workplace, usually expressed as a rate per 100 employees per year. AI (Artificial Intelligence) and computer vision can help reduce TRIR by improving workplace safety through the use of advanced technologies. We have measurably reduced TRIR for […]Read more
April 27, 2023
Reducing the dart rate is a critical goal for any safety manager, as it directly relates to the safety and well-being of employees in the workplace. The dart rate, also known as the days away, restricted, or transferred rate, measures the number of days employees are away from work due to occupational injuries or illnesses. […]Read more