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 rehabilitation management and healthcare outcomes.
LOLA is an AI Health triage tool that predicts recovery outcomes. It empowers healthcare professionals to craft tailored recovery plans, increasing the likelihood of successful 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 substantial 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.
Every week, Arriba Group engages over 800 new clients, with over 10,000 individuals currently under their care in rehabilitation, health, and wellbeing programs.
“Arriba Group envisions a future where AI and human expertise collaborate to deliver better healthcare outcomes, and LOLA represents a substantial step toward realising this vision. In an ever-evolving healthcare landscape, AI is crucial for enhancing healthcare outcomes and LOLA stands as a testament to revolutionise healthcare, offering hope to individuals and organisations striving for improved health and wellness,” says Marcella Romero, CEO and Founder of Arriba Group.
Ms. Romero emphasises that "AI is not here to replace clinicians but to enhance their capabilities and provide more targeted care. Understanding AI is essential for both healthcare professionals and clients, as AI will play an increasingly prominent role in our lives."
For more information, visit: https://www.arribagroup.com.au/mental-health-month/
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Distributed by Lanham Media for Arriba Group
Media contact: Greg Townley| greg@lanhammedia.com.au | 0414 195 908
NOTES FOR MEDIA:
As part of Mental Health Month, Michelle Barratt will lead a seminar on AI in mental health, exploring the potential of AI to reshape the mental health industry by providing more efficient and accessible services. The seminar will also delve into ethical concerns related to AI, such as privacy, bias, transparency, and the necessity of human oversight in healthcare decision-making.
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About Arriba Group
Arriba Group is reshaping the future of thousands of Australians through return to work, disability employment and NDIS allied health services. It is made up of three health companies - AimBig Employment, LiveBig, and Rehab Management - that have been created to give people their best opportunity in life.
Key Facts:
- 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.
About us:
Contact details:
Media contact: Greg Townley| greg@lanhammedia.com.au | 0414 195 908
