Reed Group, publisher of the return-to-work (RTW) reference toolset MDGuidelines, announced the release of its upgraded predictive modeling tool for tailoring RTW durations.
Many factors can influence recovery times, and employers, insurers, TPAs and healthcare practitioners all struggle to accurately predict when injured or ill employees will be able to return to work. Predictive modeling tools employ statistical techniques that allow general RTW guidelines to be more closely tailored based on factors such as age, job class, and the presence of additional (co-morbid) health conditions.
The new version of the predictive model is fully integrated and presented in-line with the textual RTW guidelines. It offers a Days Saved Calculator to help stakeholders understand the impact of proper case management.
MDGuidelines' enhanced predictive modeling tool allows users to:
- Quickly choose from a list of common co-morbid conditions (such as diabetes or obesity) with one click. * Input up to three co-morbid conditions.
- Further tailor the prediction with fields for workers' compensation and geography.
- Compare the tailored guideline (based on thousands of real-world cases) to the expected physiological healing time for the primary injury. This comparison helps case managers identify psychosocial factors that may extend the absence and apply additional resources as needed to help the employee back to work sooner.
- Input the employee's salary to calculate the direct cost of the employee's projected absence.
- Calculate the estimated savings if the case is managed to the physiological recovery duration instead of the real-world recovery duration.
"This tool gives return-to-work stakeholders the functionality they need to achieve better outcomes, reduce costs and help employees return to their normal productive endeavors," says Jon Seymour, MD, president, guidelines, for Reed Group.
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