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Enlyte uses A.I. to turn physical therapy notes into workers' comp risk scores
Risk & Insurance reports that Enlyte is using A.I. to standardize inconsistent PT documentation into a single predictive risk score, aiming to improve early visibility into claim outcomes.
A.I. is being applied to workers' compensation through physical therapy documentation, which can contain clinical detail, patient-reported outcomes, and psychosocial cues that may help flag whether a claim is likely to recover smoothly or become complicated, according to Risk & Insurance.
Risk & Insurance reports that Enlyte is addressing a key obstacle, inconsistent note formats and heavy manual review requirements, by teaching A.I. to normalize disparate outcome measures into a single risk score.
Risk & Insurance notes that Kim Radcliffe, Enlyte’s senior vice president of product management, argues physical therapists are often well positioned to detect early warning signs and that A.I. can reduce documentation burden that constrains PT productivity.
The outlet also frames the approach as cautious, with Enlyte’s work focused on converting unstructured PT notes into earlier, predictive insight for workers’ comp claims.