Enhancing Workers' Compensation Claims Management Efficiency with Predictive Maximum Medical Improvement (MMI): A Computational Tool for Standardizing Treatment and Settlement Expectations
ORAL
Abstract
We present a computational Maximum Medical Improvement (MMI) tool and its significant impact on managing workers' compensation claims. This innovative tool assimilates a variety of clinical data and utilizes a patented Variable Thread Analytic Computation (VTAC) technology system to accurately forecast key factors such as claim duration and financial outcomes. Its potential to introduce transparency, efficiency, and fairness into the claim process is particularly notable, offering substantial benefits to a diverse group of stakeholders. A key strength of the tool is its reliance on proprietary impairment data, ensuring that forecasts are realistic and fostering more balanced settlement negotiations. Streamlining the claims process could extend beyond workers' compensation leading to broader healthcare and legal applications. This presentation will spotlight the primary attributes and advantages of this computational tool. It sets a foundation for a thorough investigation into the tool’s features and its broader implications, which will be covered in a future publication.
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Presenters
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Jerry L Artz
Hamline University
Authors
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Jerry L Artz
Hamline University
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John W Alchemy
RateFast Corporation
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Bruce Bolon
Hamline University
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Josiah J Biernat
RateFast Corporation