Resources

What are workplace safety analytics and how do the systems work?

Workplace safety is a crucial concern for businesses across all industries, and many organizations are investing in safety programs and technologies to prevent accidents and injuries. Workplace safety analytics is a key tool that businesses can use to gain insights into their safety programs and identify areas for improvement. Contact CompScience to learn how the Intelligent Safety Platform can help your organization with workplace safety analytics.

 

Workplace safety analytics involves collecting and analyzing data related to workplace safety, such as injury rates, incident reports, and safety training records. By applying data science techniques to this data, businesses can gain valuable insights into their safety programs, identify potential hazards, and take proactive steps to prevent accidents and injuries.

 

Data science is a field that involves using statistical and computational methods to analyze data and extract insights from it. In the context of workplace safety analytics, data science can be used to analyze a wide range of safety-related data, including:

 

  1. Injury and illness data: Businesses can collect data on the number and type of workplace injuries and illnesses that occur, as well as information on the severity of these incidents. By analyzing this data, businesses can identify trends and patterns in injury rates and target interventions to prevent common types of injuries.
  2. Incident reports: Businesses can collect data on the types of incidents that occur in the workplace, as well as information on the root causes of these incidents. By analyzing this data, businesses can identify areas where their safety programs may be falling short and take corrective action.
  3. Safety training records: Businesses can collect data on the types of safety training that workers receive, as well as information on how frequently this training is provided. By analyzing this data, businesses can identify gaps in their safety training programs and take steps to ensure that workers are adequately trained to perform their jobs safely.

 

In addition to these types of data, businesses can also collect data from a variety of other sources, such as equipment sensors, worker wearables, and safety audits. By analyzing this data in combination with other safety-related data, businesses can gain a more complete picture of their safety programs and identify potential hazards and areas for improvement.

 

One example of a business using data science to improve workplace safety is a large warehouse operator. The warehouse company uses a wide range of sensors and cameras in their warehouses to collect data on worker movements and equipment usage. This data is then analyzed using machine learning algorithms to identify potential hazards, such as workers walking into each other or equipment being operated unsafely. By analyzing this data in real-time, the warehouser can take proactive steps to prevent accidents and injuries from occurring.

 

Another example of a business using data science to improve workplace safety is a large manufacturer of heavy equipment. This manufacturer uses data from equipment sensors to identify potential hazards and proactively address maintenance issues that could lead to accidents. By analyzing this data, the manufacturer can also identify patterns and trends in equipment usage that could lead to injuries and take steps to address these issues.

 

While workplace safety analytics can provide valuable insights into safety programs and help prevent accidents and injuries, it is important to note that there are potential challenges and limitations to this approach. One major challenge is the need for accurate and reliable data, as inaccurate or incomplete data can lead to incorrect conclusions and ineffective interventions. Additionally, there may be concerns around privacy and worker surveillance, as businesses collect and analyze more data related to worker behavior.

 

To address these challenges and ensure that workplace safety analytics is used effectively, it is important to involve workers in the development and implementation of these programs. This can involve providing workers with training and education on how data science works, as well as soliciting feedback and input from workers on how to improve these programs. Additionally, businesses can work with data scientists and safety experts to ensure that their analytics programs are designed to address the unique needs and challenges of their specific industry and workplace.

 

Workplace safety analytics systems are designed to identify potential risks and hazards in the workplace, and to help organizations take proactive measures to prevent accidents and injuries. These systems use data analytics and machine learning algorithms to analyze data from various sources, such as accident reports, incident logs, safety inspections, and employee feedback.

 

Here are the key steps in how workplace safety analytics systems typically work:

 

  1. Data Collection: Workplace safety analytics systems collect data from various sources, such as accident reports, incident logs, safety inspections, and employee feedback. The data is usually collected in a centralized database.
  2. Data Cleaning and Preprocessing: The collected data is cleaned and preprocessed to ensure that it is accurate, complete, and consistent. Data cleaning involves identifying and correcting errors, such as missing values or outliers, while data preprocessing involves transforming the data into a format suitable for analysis.
  3. Data Analysis: The cleaned and preprocessed data is analyzed using statistical and machine learning algorithms to identify patterns, trends, and anomalies that may indicate potential risks and hazards in the workplace.
  4. Risk Assessment: The results of the data analysis are used to assess the level of risk associated with different activities, tasks, and areas in the workplace. This helps organizations prioritize their safety efforts and allocate resources more effectively.
  5. Risk Mitigation: Based on the risk assessment, organizations can take proactive measures to mitigate potential risks and hazards in the workplace. This may involve implementing new safety procedures, providing additional training to employees, or modifying equipment or work processes.
  6. Monitoring and Evaluation: Workplace safety analytics systems monitor the effectiveness of the risk mitigation measures implemented by the organization. This allows organizations to track progress, identify areas for improvement, and adjust their safety strategies as needed.

 

Overall, workplace safety analytics systems are powerful tools for organizations looking to improve workplace safety and prevent accidents and injuries. By analyzing data from various sources, these systems can help organizations identify potential risks and hazards, prioritize their safety efforts, and take proactive measures to mitigate these risks.

 

In conclusion, workplace safety analytics is a powerful tool that businesses can use to gain insights into their safety programs, identify potential hazards, and take proactive action.

 

Here’s the definition of safety analytics.

Latest Posts

Insight

May 5, 2023

How To Focus A CFO On Improving Workplace Safety?

  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
Insight

April 18, 2023

Safe Working Environments Assured with AI-Powered Risk Reduction Programs

Artificial Intelligence (AI) is transforming the way we live and work, and the field of workplace safety is no exception. AI-powered risk reduction programs are becoming an increasingly important tool for promoting a safe working environment. These programs use machine learning algorithms to analyze data from various sources and identify potential safety hazards before they […]

Read more
Annoucement

March 15, 2023

Injury Detection with AI Can Can Stop Accidents Waiting To Happen

Workplace accidents are a serious concern for businesses and employees alike. Despite the best efforts of employers and workers, accidents can still occur, leading to serious injuries and even fatalities. The impact of workplace accidents can be far-reaching and can have a lasting impact on the lives of workers and their families. Now, AI makes […]

Read more
Resources

February 7, 2023

Video: Repetitive Stress Prevention. Detecting Bending and Lifting Heavy Objects with AI.

Bending and lifting heavy objects often is not seen as a concern, but the reality is that the probability of injury increases with each repetition of the task. This is because repetitive motions, such as bending and lifting, can put stress on the same body parts and lead to repetitive stress injuries over time.   […]

Read more
Resources

February 7, 2023

Video: Preventing Repetitive Stress from Overhead Lifts with The Intelligent Safety Platform

Workers lifting objects overhead is a common task in many industries. Although it may seem harmless, it can lead to repetitive stress injury over time. This type of injury is caused by repetitive motions that put stress on the same body part, leading to pain, discomfort, and decreased mobility.   Safety managers can now prevent […]

Read more
Case Study

October 15, 2022

Workplace Safety Case Study: Workflow Improvements Reduced Lifting Exposure

Workflow improvements led to 95% reductions in lifting exposure.   Interventions: Ergonomics trainings and new material transport systems   Result: Client introduced dollies as a result of our findings around high numbers of overhead lifts occurring in their facility.   “It was such a simple solution that employees liked. It was something that was never […]

Read more
Insight

October 10, 2022

How quantifying risks and productivity gains can help get safety improvements funded

Quantifying the risks and productivity gains associated with safety improvements can be an effective way to get those improvements funded. By demonstrating the potential costs and consequences of workplace accidents and injuries, and by showing the potential benefits of safety improvements in terms of reduced costs and increased productivity, organizations can make a strong case […]

Read more
Insight

August 30, 2022

Predictive Models Can Bridge the Gap Between Safety Data and Financial Metrics

Predictive models can bridge the gap between safety data and financial metrics by using data on past accidents and injuries to predict the likelihood of future accidents and injuries, and by estimating the potential costs of those accidents and injuries. By analyzing data on past accidents and injuries, predictive models can identify trends and patterns […]

Read more
Resources

May 5, 2023

What is workers’ compensation insurance?

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
Resources

April 30, 2023

How X-Mod Affects Workers Compensation Costs and How X-Mod Is Affected By Safety Practices

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
Insight

April 27, 2023

Reducing TRIR with AI and Computer Vision

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
Resources

April 27, 2023

How To Reduce DART Rates

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
Annoucement

April 25, 2023

What’s the cost of risk?

The cost of risk is a multifaceted concept that has significant implications for individuals, organizations, and society as a whole. At its core, the cost of risk is the potential financial or non-financial loss that an entity may incur as a result of an uncertain event or outcome. In this article, we will explore the […]

Read more