N^o 11 – When Is Your Data Fit For Purpose?

“To truly protect workers, organizations need to take action and break the hazard cycle by implementing controls and process improvements that reduce or eliminate ergonomic risk factors,” Join LifeBooster’s Program Manager & Ergonomist, William Thomas, as we discuss how organizations can trust their data and act on it.

How confident are you that the data that you are using to make risk management decisions accurately reflect the highest impact opportunities? A targeted data collection strategy enables you to collect accurate, reliable risk data so that you can stop worrying about he accuracy of your data, and can start taking action to protect your employees.

Collecting accurate data and conducting comprehensive assessments is key to risk management and enables organizations to understand when and where to prioritize corrective actions. However, this work relies on the expertise of assessors to know when, where, and how  to collect accurate risk data so that it fits its intended purpose.

Confidence in Your Data is Key to Risk Management

To truly protect workers, organizations need to take action and break the hazard cycle by implementing controls and process improvements that reduce or eliminate ergonomic risk factors. This means trusting your data and making the right risk prioritization decisions based on the data insights. Being confident in your data means being confident in your decision-making and Multi-Point Wearable systems enable this by ensuring that you are collecting representative data that accurately reflects the risk of injury facing your frontline employees.

Wearables Can Provide Accurate, Trustworthy Data for Decision Making

Designing a wearables program that reflects your goals enables you to collect the right data to meet your organizational needs and clearly prioritize your risk control efforts to the highest impact opportunities. Having confidence in the accuracy of your data, and using these risk insights to inform organizational decision-making is key to driving continuous improvement.

Data Can Be Integrated Cross-Functionally to Proactively Mitigate Risk

This might include identifying opportunities to integrate risk data cross-functionally into change management processes and engineering workflows to help proactively eliminate ergonomic risk factors. Implementing risk data as part of your strategic initiatives and organizational decision-making enables you to elevate your risk management process by providing the right data insights, at the right time, to help prevent decisions that can create downstream ergonomic risk for your frontline teams.

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