Assessing the feasibility of a sensor-rich gait wearable and advanced behavioural science platform to improve care and rehabilitation outcomes for knee arthroplasty patients

英国每年进行超过125，400次KA（TKA），每年花费NHS约8.12亿英镑。部分由于人口老龄化以及风湿性关节炎（RA）、帕金森病（PD）和骨关节炎（OA）等疾病的增加，过去10年的成本增加了39%，手术延迟增加了33%，极大地影响了患者的活动能力、保持活跃的能力和生活质量。是一种先进的家用步态监测系统，结合了独特的专利，传感器丰富的鞋垫和适应患者的机器学习，以准确地映射，公制和基线一个人的步态对称性，旋前，旋后，压力分布，平衡，福尔斯风险和活动的重大变化，在一系列其他临床准确的指标中。由此，我们的平台可以推断出高度的准确性（已验证）许多临床上有趣的健康指标和生物标志物，例如移动性、活动、福尔斯风险评估以及测量疾病进展或治疗影响。由此，可以更准确地对患者进行手术或物理治疗的分层和优先级排序，而不是目前基于“先到先得”的基础，这会导致延迟，造成区域和社会不平等，并损害患者的生活质量。NHS目标节省=每年1.77亿英镑（约23% KA-NHS支出;2021年）。

Over 125,400 total KAs (TKAs) are carried out in the UK each years, costing the NHS ~£812M pa. Driven in part by an aging population and increase in conditions such as Rheumatoid arthritis (RA), Parkinson's Disease (PD) and Osteoarthritis (OA), the last 10 years have seen a 39% increase in cost, and a 33% increase in surgery delays, dramatically impacting patient's mobility, ability to stay active and quality of life.Path Insight (PIn), is an advanced at-home gait monitoring system that combines a unique and patented, sensor-rich insoles and patient-adapting machine learning to accurately map, metricate and baseline a persons gait symmetry, pronation, supination, pressure distribution, balance, falls risk and significant changes in activity, amongst a range of other clinically accurate metrics.From this, our platform can infer to high-degree of accuracy (validated) a number of clinically-interesting health indicators and biomarkers such as mobility, activity, falls risk assessment and measuring disease progression or therapeutic impact.From this, patients can be stratified and prioritised for surgery or physiotherapy much more accurately, rather than it being on 'first-come, first-serve' basis currently, which leads to delays, creates regional and social inequalities and damages QoL for patients. Target NHS saving = £177m pa (~23% KA-NHS spend;2021).