Workers compensation
Workers compensation
Tailored, efficient solutions for a complex task
Milliman workers compensation solutions
Claims consulting
Milliman workers compensation insight
WC Market Outlook: After years of successive rate decreases, how can workers’ compensation insurers stay ahead of the curve to maintain profitability?
Claim analytics using artificial intelligence represents a proven method to reduce claim severity and improve the efficiency of claim-handling resources.
Using predictive modeling to forecast large workers compensation costs: A case study
Nodal™, our web-based predictive modeling and decision-support system, accurately identified 95% of high-cost claims for the Intergovernmental Risk Management Agency before they happened, reducing costs by over 15%.
Improvements in predictive analytics help with early identification of workers comp reinsurance claims
Today, the advances with machine learning software and text-mining algorithms are necessary tools for the early identification of claims most likely to become excess loss claims.
Subcontractors: How a common business practice could lead to a mountain of insurance costs
What are the risks associated with uninsured subcontractors and what can be done to prevent them from threatening a company’s bottom line?
2017 California Hospitals Workers’ Compensation Benchmarking Report
Workers’ compensation remains one of the most complex exposures for employers. This study provides fundamental healthcare industry benchmarks from which informed decisions related to managing workers’ compensation in California can be made.