Public Funding for Exrt Intelligent Healthcare Limited

Each year in Northern Ireland, approximately 4000 people suffer a stroke. eXRt aims to transform stroke rehabilitation in the UK through the integration of advanced predictive models into our established Virtual Reality (VR) platform. Utilising machine learning(ML) and artificial intelligence(AI), this initiative is designed to provide a ground-breaking approach to stroke recovery, focusing on data-driven treatment optimisation. Research indicates that intensive, high-repetition training is favourable. However, the lack of patient engagement because of the boring nature of current rehab along with over-stretched therapists means the recommended intensity and frequency just can't be reached. Our existing technology is an engaging VR rehabilitation gaming platform designed to remove the monotonous nature of conventional rehab with remote monitoring for more efficient patient management for clinicians. Providing the optimum amount of therapy and support for patients. **Objectives and Methodology** * **Development of Predictive Models**: Employ ML/AI to analyse rehabilitation data, aiming to predict recovery trajectories with a high degree of accuracy. * **Automated Collection of Key Metrics**: Introduce automatic data capture of essential metrics within the VR environment, including range of movement and coordination. * **Customised Rehabilitation Strategies**: Leverage predictive insights to create personalised rehabilitation programs, adapting to each patient's recovery profile. * **Data-Driven Clinical Decision-Making**: Equip healthcare professionals with robust predictive data, enabling precise adjustments in therapy protocols. **Innovative Aspects** * **Advanced Data Analysis Technique**s: Implement AI and ML algorithms to analyse complex datasets, identifying key recovery indicators and patterns. * **Integration of Comprehensive Metrics**: Develop algorithms for automated collection and analysis of critical rehabilitation metrics, enhancing the precision of patient assessments. * **VR Technology Integration**: Seamlessly incorporate predictive analytics into our VR platform, providing an immersive, adaptive, therapy. **Projected Outcomes and Impact** * **Improved Patient Recovery Rates**: Aim to accelerate the rehabilitation process by 30%, enhancing patient outcomes. * **Enhanced Clinical Efficiency**: Predictive analytics are expected to improve therapy effectiveness by up to 25%, allowing clinicians to effectively fine-tune treatment plans. * **Economic Impact**: stroke costs the UK economy approximately £26billion annually, the proposed solution aims to reduce rehabilitation costs by up to 20%, translating to significant savings for the healthcare system. * **Data Contribution to Stroke Research**: The data collected will enrich the understanding of stroke rehabilitation, offering valuable insights for future research in the UK. **Conclusion** This project represents a significant advancement in stroke rehabilitation, combining technological innovation and patient-centred design. It will make a substantial impact on stroke recovery in the UK, offering more efficient, personalised, and effective rehabilitation solutions.

The rehabilitation of stroke patients is one of the biggest healthcare challenges faced in modern times. Globally Stroke is the 2nd leading cause of disability, with 15 million new strokes per year and a further 80 million people currently living with a stroke. Healthcare organisations struggle financially to provide the optimum level of care to stroke patients when they are discharged home. This lack of rehabilitation care at home leads to stroke patients performing little or no physiotherapy, which thus negatively affects recovery. Upper limb motor dysfunction is the leading cause of disability affecting 75% in stroke patients globally. Stroke is a huge economic burden on healthcare organisations worldwide and we believe that our solution can help ease that burden by providing a technology-enabled cost-effective solution that can reduce physiotherapy costs, reduce hospital stay cost and readmission costs and return patients to work sooner. Our solution to this growing problem as an innovative connected-health physiotherapy device that provides personalised upper limb stroke physiotherapy within Virtual Reality (VR) for home-based physiotherapy. A web-based patient management dashboard supplements the VR system, so physiotherapists can remotely monitor and manage their patients. Built-in communication tools between the VR and the Web-based dashboard provide a higher level of communication and support between stroke patients and physiotherapists. This unique innovation provides enhanced care to patients at home and helps physiotherapists operate more efficiently than what has been possible before.