A pilot program indicates artificial intelligence (AI) rehabilitation tool LOLA has potential to significantly improve claims outcomes for workers forced to take time off due to physical or psychological conditions. 

LOLA, which stands for Lean on Learning Assistance, is an AI health triage tool that predicts recovery outcomes. Tests achieved a 45% overall improvement in health outcomes – 48% for physical conditions and 40% for psychological conditions, Arriba Group Head of Innovation Michelle Barratt says. 

“This underscores the tremendous potential of LOLA and highlights the transformative impact of integrating advanced technology with personalised healthcare,” she said. 

“It will provide invaluable support to clinicians, employers and insurers. We anticipate a substantial uplift in health and work outcomes, resulting in a $6.5 million saving to various Australian compensation and payment schemes that we work with.” 

The technology eliminates time-consuming manual assessments, makes highly accurate predictions regarding an individual's risk factors and potential outcomes with models tailored to include demographic information, claim, clinical, and case status, enhances clinician assessment processes with and objective basis for allocating referrals. 

LOLA helps healthcare professionals to tailor recovery plans, identifying risks and creating evidence-based prevention or intervention strategies – cutting the cost of long-term health claims.  

“The purpose of LOLA is to challenge the predictive model by implementing changes. We want to prove the model wrong. When it tells us a person is at high risk of long-term physical or psychological disability, we use evidence-based early intervention health approaches to create a different outcome. It is a disruptive approach with a model that relearns and recalculates the outcome predictions,” explains Ms Barratt. 

Arriba Group CEO Marcella Romero says AI is crucial for enhancing healthcare outcomes.  

"AI is not here to replace clinicians but to enhance their capabilities and provide more targeted care,” she said.