AimBig’s parent company Arriba Group recognised for their contribution to AI technology

In today’s fast-paced world, where work-related injuries and illnesses continue to impact individuals and businesses, the demand for innovative healthcare solutions has reached a critical juncture. Arriba Group is spearheading a monumental leap forward with the introduction of LOLA (Lean on Learning Assistance), an artificial intelligence (AI) technology poised to revolutionise workplace rehabilitation management and healthcare outcomes. This technology saw the Arriba Group ranked #7 in the health category of the AFR BOSS Most Innovative Companies list.

LOLA harnesses the power of machine learning and AI technology to accurately predict recovery outcomes, and the cost and duration of occupational rehabilitation services. It empowers healthcare professionals to craft tailored recovery plans, increasing the likelihood of successful workplace rehabilitation while mitigating the consequences of physical and psychological injuries or illnesses. By identifying risks and facilitating evidence-based prevention or intervention strategies, the cutting-edge technology can reduce the risks associated with chronic diseases and decrease healthcare costs linked to long-term health claims.

“LOLA is set to revolutionise the industry, improving health and work outcomes for thousands of clients and customers. It will also provide invaluable support to clinicians, employers, and insurers. We anticipate a 10% uplift in health and work outcomes, resulting in a 6.5 million-dollar saving to various Australian compensation and payment schemes that we work with,” says Michelle Barratt, Head of Innovation at Arriba Group, a family of multi-award-winning Australian companies that provide return to work, disability employment and NDIS allied health services.

The results from LOLA’s testing on individuals across Australia are nothing short of remarkable, achieving a 45% overall improvement in health outcomes. This was a 48% uplift for people with a physical condition and a 40% uplift for people with a psychological condition. This underscores the tremendous potential of LOLA and highlights the transformative impact of integrating advanced technology with personalised healthcare.

“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.

Key Highlights of the LOLA AI Technology Include:

• Instant Triage: One of the standout features of LOLA is its ability to deliver risk assessments upon uploading a client’s information, eliminating the need for time-consuming manual assessments and streamlining the allocation process.
• Data-Driven Approach: LOLA is trained on extensive datasets, enabling it to make highly accurate predictions regarding an individual’s risk factors and potential outcomes. Unlike other transactional machine learning-assisted triage models, LOLA is tailored to include demographic information, claim, clinical, and case status..
• Objective Allocation: LOLA uses technology to augment and enhance the clinician assessment process, providing a more concrete and objective basis for allocating referrals.
• Improved Outcomes: Initial data from the pilot program suggests that LOLA has the potential to significantly enhance health and work outcomes for clients, both those with physical or psychological injuries or illnesses.
• Enhanced Efficiencies: Given the current shortage of healthcare workers, LOLA facilitates more efficient utilisation of their skills where they matter most, ensuring customers get the right service, at the right time for their needs.

Over the past decade, millions of work-related injuries and illnesses have occurred, resulting in significant productivity loss and a substantial financial burden on the Australian healthcare system. From 2008 to 2018 SafeWork Australia estimates this cost to be 37.8 billion-dollars.

The Arriba Group has commenced their use of AI technology across the business and are looking for opportunities to use the learnings from the pilot more broadly within the employment services sector.