Immediate Vault

How to Strengthen Your Safety Program and Cut Workers Compensation Costs

Controlling business costs is top-of-mind for organizations of all sizes and can take many forms, from moving the business to a less expensive building in a more economical part of town to cutting advertising costs. Many companies overlook one key way to control costs that can be easily implemented and managed while also improving work culture overall: implementing a safety program to better manage workers compensation costs. When the average workers compensation claim is around $40,000, taking steps to mitigate workers compensation risks and better manage claims can be a great opportunity for any business to both ensure the safety of its workers and protect the bottom line.

Risk professionals can help reduce costs by taking steps to implement any of the following:

  • Improved safety programs
  • More active involvement in claims management
  • Build out a return to work program

Encourage your internal teams to establish a well-planned and detailed new hire onboarding program that reinforces a strong safety culture. Here are some steps that you can integrate into your existing onboarding program that will also help control unnecessary or redundant workers’ compensation claim costs.

Practice Makes Perfect

Onboarding new employees means taking the time to acclimate them to how your business operates in terms of safety procedures, jobsite dos/don’ts, and any potential hazards. Repetition is key for any new employee learning the ropes, but especially for those workers who are jumping into a new role. Ensure all new hires have the appropriate time and space to practice any safety protocols and consider implementing a safety quiz at the end of a designated orientation period to test retention.

Use the Buddy System

Provide each new employee with a veteran employee buddy. This partnership aims to help the new employee get acclimated more quickly to the new environment. During their time together, the veteran employee can discuss safety concerns and identify potential hazards. As worksites can become overwhelming with the amount of hustle and bustle, it will be critical for the new employee to have a partner who is able to help keep an eye out for them and monitor their safety until they are ready to venture out on their own.

Cultivate a Culture of Safety

Encourage managers and team leaders to commit to safety goals and practice what they preach. Setting an example for employees early means that management must be “all in” on safety. This ensures that employees on all levels understand that safety is a company-wide priority. Building a foundation of safety-focused programs with the goal of keeping claim costs low will be key to solidifying each employee’s connection to the organization.

There are myriad ways to reduce workers’ compensation costs. What will be most important to your organization is taking into consideration the time and resources it will take to efficiently improve this area of your business. Whether your team decides to do this independently or with the help of a vendor like a PEO, it is essential for companies to prioritize this part of their business to reduce risk. 

Using Ergonomics to Ease Employees’ Return to the Office

Strategies for returning employees to offices continue to evolve due to the emergence of new COVID-19 variants and changes in government regulations. While some workers may feel excitement and a renewed sense of focus, there is also notable hesitancy to be physically working side-by-side and accepting changes in the physical workspaces to which employees are returning. Many employees may be coming back to the office from less-than-ideal workstation setups at home, which could have been a source of pain and discomfort. On the other hand, new workstations or office layout changes can also create physical problems if these spaces are modified solely for COVID-related safety without considering healthy ergonomic conditions as well.

Employers may benefit from being proactive and planning for flexibility in the work space design to accommodate sudden changes. When designing and managing the new work environment and planning for flexibility to change layout and design as the pandemic continues to evolve, a concerted effort on ergonomics can help ease employees’ reintegration back into the office. This can help maintain a high level of work productivity and may even help with employee retention by creating positive workplace experiences and demonstrating care for workers.

Managing the new work environment

In recent months, the layout of many office spaces has likely changed to increase safety measures. Some companies are now moving to an open work model—commonly known as space sharing—where employees no longer have an assigned desk that can be customized to their needs. Other companies may be opting for layouts with greater separation between work desks, which can result in new ergonomic challenges such as reduction in the size of work area, increased reaching and awkward postures.

Feedback is important. Employers need to listen to how employees are feeling, what concerns they have, and what they physically need in the office to be set up for success. Ongoing, frequent communication is necessary to maintain trust and help employees feel at ease with changes in their work conditions. To proactively address any concerns, business leaders can utilize tools such as employee surveys and returning-to-office packages. Surveys are vital to gauge a sense of employee readiness and hesitations while also showing employees that their managers are listening to their concerns. Capturing employee feedback also helps employers prepare for potential setbacks.

Ergonomics training programs and self-help checklists can be successful tools to ease the return to office and help employees experience less physical discomfort as well as improve employee productivity, profitability and, ultimately, even job satisfaction. Ergonomics training should be customized to address the concerns employees may face upon return to the office environment. The training and checklists should provide guidance on solutions and adjustments that employees can implement in their workspaces to achieve maximum comfort and avoid the risk of injury.

Retaining employees

In November 2021, a record 4.5 million workers quit their jobs, and the Great Resignation has showed little signs of stopping in 2022, with January resignations falling just shy of that record at 4.3 million. It is clear that stress related to the COVID-19 pandemic has been one of the key factors contributing to the labor shortage. Business leaders have found that a portion of the workforce may not feel safe or find it necessary to return to the office. There are many facets of such sentiments that employers must consider, and while ergonomics are not necessarily the driving concern for workers, employers can help move the needle by improving conditions for employees in as many ways as possible. Ergonomics initiatives and investing in the office environment offer ways to help improve employee morale and reduce discomfort and physical stressors that lead to injuries.

Implementing wellness routines can also help keep employees physically and mentally healthy. Business leaders should encourage workers to maintain healthy lifestyles, take regular breaks, and take days off to spend time with friends and family. Lastly, early intervention is key when addressing problems in the workplace. Leaders must provide clear resources for employees who have concerns. If employees have no direction on what to do when they have concerns, they are more likely to become dissatisfied and leave the workplace.  

The COVID-19 pandemic has forced businesses to alter operations, and as the landscape continues to change, employee retention and workplace concerns could become even more at risk. When bringing employees back to the office, companies may experience more success if they implement and sustain their ergonomics programs, maintain ongoing communication, and create a workplace where employees’ well-being is clearly valued.

RIMS TechRisk/RiskTech: Emerging Risk AI Bias

On the second day of the RIMS virtual event TechRisk/RiskTech, CornerstoneAI founder and president Chantal Sathi and advisor Eric Barberio discussed the potential uses for artificial intelligence-based technologies and how risk managers can avoid the potential inherent biases in AI.

Explaining the current state of AI and machine learning, Sathi noted that this is “emerging technology and is here to stay,” making it even more imperative to understand and account for the associated risks. The algorithms that make up these technologies feed off data sets, Sathi explained, and these data sets can contain inherent bias in how they are collected and used. While it is a misconception that all algorithms have or can produce bias, the fundamental challenge is determining whether the AI and machine learning systems that a risk manager’s company uses do contain bias.

The risks of not rooting out bias in your company’s technology include:

  • Loss of trust: If or when it is revealed that the company’s products and services are based on biased technology or data, customers and others will lose faith in the company.
  • Punitive damage: Countries around the world have implemented or are in the process of implementing regulations governing AI, attempting to ensure human control of such technologies. These regulations (such as GDPR in the European Union) can include punitive damages for violations.
  • Social harm: The widespread use of AI and machine learning includes applications in legal sentencing, medical decisions, job applications and other business functions that have major impact on people’s lives and society at large.

Sathi and Barberio outlined five steps to assess these technologies for fairness and address bias:

  1. Clearly and specifically defining the scope of what the product is supposed to do.
  2. Interpreting and pre-processing the data, which involves gathering and cleaning the data to determine if it adequately represents the full scope of ethnic backgrounds and other demographics.
  3. Most importantly, the company should employ a bias detection framework. This can include a data audit tool to determine whether any output demonstrates unjustified differential bias.
  4. Validating the results the product produces using correlation open source toolkits, such as IBM AI Fairness 360 or MS Fairlearn.
  5. Producing a final assessment report.

Following these steps, risk professionals can help ensure their companies use AI and machine learning without perpetuating its inherent bias.

The session “Emerging Risk AI Bias” and others from RIMS TechRisk/RiskTech will be available on-demand for the next 60 days, and you can access the virtual event here.

RIMS TechRisk/RiskTech: Opportunities and Risks of AI

On the first day of the RIMS virtual event TechRisk/RiskTech, author and UCLA professor Dr. Ramesh Srinivasan gave a keynote titled “The Opportunities and Downside Risks of Using AI,” touching on the key flashpoints of current technological advancement, and what they mean for risk management. He noted that as data storage has become far cheaper, and computation quicker, this has allowed risk assessment technology to improve. But with these improvements come serious risks.

Srinivasan provided an overview of where artificial intelligence and machine learning stand, and how companies use these technologies. AI is “already here,” he said, and numerous companies are using the technology, including corporate giants Uber and Airbnb, whose business models depend on AI. He also stressed that AI is not the threat portrayed in movies, and that these portrayals have led to a kind of “generalized AI anxiety,” a fear of robotic takeover or the end of humanity—not a realistic scenario.

However, the algorithms that support them and govern many users’ online activities could end up being something akin to the “pre-cogs” from Minority Report that predict future crimes because the algorithms are collecting so much personal information. Companies are using these algorithms to make decisions about users, sometimes based on data sets that are skewed to reflect the biases of the people who collected that data in the first place.

Often, technology companies will sell products with little transparency into the algorithms and data sets that the product is built around. In terms of avoiding products that use AI and machine learning that are built with implicit bias guiding those technologies, Srinivasan suggested A/B testing new products, using them on a trial or short-term basis, and using them on a small subset of users or data to see what effect they have.

When deciding which AI/machine learning technology their companies should use, Srinivasan recommended that risk professionals should specifically consider mapping out what technology their company is using and weigh the benefits against the potential risks, and also examining those risks thoroughly and what short- and long-term threats they pose to the organization.

Specific risks of AI (as companies currently use it) that risk professionals should consider include:

  • Economic risk in the form of the gig economy, which, while making business more efficient, also leaves workers with unsustainable income
  • Increased automation in the form of the internet of things, driverless vehicles, wearable tech, and other ways of replacing workers with machines, risk making labor obsolete.
  • Users do not get benefits from people and companies using and profiting off of their data.
  • New technologies also have immense environmental impact, including the amount of power that cryptocurrencies require and the health risks of electronic waste.
  • Issues like cyberwarfare, intellectual property theft and disinformation are all exacerbated as these technologies advance.
  • The bias inherent in AI/machine learning have real world impacts. For example, court sentencing often relies on biased predictive algorithms, as do policing, health care facilities (AI giving cancer treatment recommendations, for example) and business functions like hiring.

Despite these potential pitfalls, Srinivasan was optimistic, noting that risk professionals “can guide this digital world as much as it guides you,” and that “AI can serve us all.”

RIMS TechRisk/RiskTech continues today, with sessions including:

  • Emerging Risk: AI Bias
  • Connected & Protected
  • Tips for Navigating the Cyber Market
  • Taking on Rising Temps: Tools and Techniques to Manage Extreme Weather Risks for Workers
  • Using Telematics to Give a Total Risk Picture

You can register and access the virtual event here, and sessions will be available on-demand for the next 60 days.