According to the Bureau of Labor Statistics, just over half of all work-related musculoskeletal disorders (MSDs) result from poor ergonomics. Proactively mitigating ergonomic risks can help prevent injury and improve productivity.
Each year, millions of American workers develop health problems with the potential to temporarily or permanently prevent them from working. In the large majority of cases, employees can stay at work or return to work.
Medical and case management strategies have been a major driver of improved recovery outcomes for illness or injury. However, research suggests these strategies are only one component of a successful return-to-work process.
Even though many injured workers are capable of staying at work during recovery – or returning after a brief recovery period – administrative roadblocks may hinder their return to work at full duty. The employer's role is critical to resolving issues.
Paul Drennan, vice president and claim data scientist at The Hartford, talks about big data and why it is such a critical value proposition for large, loss-sensitive companies.
Drennan explains how predictive modeling supports the workers' compensation claim handler.
Drennan discusses how predictive modeling is transforming how claim examiners identify and manage high-risk workers' compensation claims.
Drennan explains how predictive modeling supports The Hartford's subrogation process, and why it is such a critical value proposition for large, loss-sensitive companies.