Recent technological advancements in predictive modeling that tap some unique alternate data sources are helping to significantly boost the claims evaluation process for workers' compensation far beyond what a claim adjuster's gut instinct and overall knowledge can achieve.
These new techniques help claim managers expand the degree of information gathered, accelerate the timeliness of data collection, and validate the instinctive assessment of field personnel against the likely outcomes associated with their findings.
Moreover, while a number of factors that ultimately impact the claim are not known, predictive modeling can tap additional information from other publicly available alternate data sources to more precisely predict the claim's outcome–which can considerably increase the likelihood of an employee's return to work.
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