Occupational Safety Analytics
Reduce workplace injuries and work-related musculoskeletal disorders (WMSDs)
Acute traumatic workplace injuries and WMSDs are an inevitable occurrence in labour intensive environments. These injuries can result in significant permanent or temporary disability and can be a life-changing event for employees and a significant expense for the company in time taken off for recovery and rehabilitation.
Workplace injuries and WMSD’s can be caused by a variety of workplace unsafe conditions and unsafe actions. These include overexertion, fatigue, slips, trips and falls, impact with moving machinery and vehicles, fire and explosion, electrocution etc. These can have severe, debilitating long term impacts on employees and be extremely costly to your business.
Fully understanding the most common workplace injuries and how to prevent them can have a significant impact on the safety of your employees and the longevity and profitability of your business. Data related analysis of injuries and accidents, and the medical impacts on employees provides valuable insights and a clear understanding of the causes and consequences of these unwanted events. Guided by data analytics, we address the complexities and aid in decision making for preventive initiatives, which lead to:
Saving more lives, improving health & wellbeing
Shorten EMPLOYEE rehabilitation time
Reducing productivity loss due to injuries
Improving the quality of life for employees
costs, insurance & compensation
A case study
DO InjurY rates go up during COVID WAVES?
Most data scientists, statisticians, modellers, and medical doctors are familiar with the term “Correlation Study”. This special, yet often thought of as simplistic, type of analysis can be useful for unraveling the relationship between variables.
A correlation study typically informs on whether two variables are negatively or positively dependent on one another (or neither). The ability to discern dependences can be vital in elucidating the occurrences of phenomena, and the development of predictive models. In the context of infectious and occupational diseases, such a study conducted by the Wimmy team, was implemented to determine, if any, what the correlation between workplace injuries and the Covid-19-related burden of disease might be.
The Covid-19 pandemic has brought with it a vast array of uncertainty. Over time, understanding the disease dynamics of Covid-19 alone has become less of a focal point as ongoing new evidence has emerged. As a consequence, this has allowed for the broader impact of Covid to be studied. Hence, one of our clients was interested in understanding the correlation between workplace injuries and Covid-19 related burden of disease. For the study, the workplace injuries were separated into four categories of severity, namely, safety near miss cases, first aid cases, medical treatment cases and lost time injuries. Covid-19 cases and Covid-19 deaths were the chosen indicators of the Covid-19 burden of disease for the study.
A weak correlation between workplace injuries and the Covid-19-cases and Covid-19 deaths was found. The study was then extended to look at the workplace injuries by considering the number of employees and hours worked in a month. This study is planned to be extended to other applications, by simply looking at the correlation to other occupational diseases.