Pathstance - Transforming a simple, prescribed NHS wearable, into a sensor-rich, at-home monitoring and rehabilitation device

英国国家医疗服务体系每年花费超过14亿英镑进行关节手术（关节成形术），每年进行32.1万例手术，而且数量还在增长。这些手术不仅昂贵（膝关节约11,433英镑/髋关节约33,321英镑，自2012年以来实际成本增加了39%），而且如果要真正成功，让患者恢复完全的活动能力和生活质量，还需要大量的、由患者主导的家庭康复训练。然而，不幸的是，超过50%的关节置换术患者没有继续进行推荐的康复锻炼或术后护理，导致疼痛加剧，功能状态下降，并给英国经济带来了巨大的社会护理成本。为了满足NHS对准确可靠的家庭康复设备的关键需求，PathStance （Ps）是一个改变游戏规则的家庭远程医疗系统，它结合了独特的专利传感器丰富的鞋垫和患者适应的机器学习，可以实时准确地绘制、测量和基线一个人的步态对称性、压力分布、平衡和跌倒风险，以及一系列其他临床准确指标。然后将这些数据与触觉和物理治疗相结合，为用户提供高度精确的实时矫正反馈，用于家庭康复练习，并为临床医生提供准确的、可量化的数据，从而改进护理计划。在早期试验中，这种方法已被证明在提高老年人的活动水平、降低足部溃疡风险以及提高对规定护理康复计划的依从性和参与度方面取得了成功。对于NHS，我们的技术将改善获得康复服务的机会；为临床医生提供准确的临床数据；支持NHS、NICE和英国政府在健康老龄化、远程医疗和康复赋权方面的政策；使关节置换术患者恢复健康、活动和生活质量比目前的护理方法快30%。最终，我们相信这项技术将帮助NHS在每位患者的非手术治疗费用上节省约1418英镑=每年可能节省2.48亿英镑，相当于NHS关节成形术总费用的18%。

Joint surgery (arthroplasty) costs the NHS more than £1.4bn/annum, with 321,000 conducted per annum wit volume growing.These operations are not only expensive (~£11,433 Knee/~£33,321 Hip; a 39% increase in real cost since 2012), they also require extensive, patient-led, at-home prehabilitation and rehabilitation exercises if they are to be truly successful and for patients to regain their full mobility and quality-of-life.Unfortunately, however, more than 50% of all arthroplasty patients do not continue recommended rehabilitation exercises or aftercare, leading to worsened pain, reduced functional state, and significant social care cost to the UK economy.Addressing a key NHS demand for accurate and reliable at-home rehabilitation devices, PathStance (Ps), is a game-changing at-home telemedicine system that combines unique and patented sensor-rich insoles and patient-adapting machine learning to accurately map, metricate, and baseline a person's gait symmetry, pressure distribution, balance, and fall-risk, among a range of other clinically accurate metrics, in real-time. This data is then used in combination with haptics and physiotherapy to provide highly-accurate corrective feedback to users in real-time for at-home rehabilitation exercises and provides clinicians with accurate, quantifiable data from which improvements to care plans can be made.In early trials, this approach has proven successful in increasing activity levels in aging populations, reducing foot ulcer risk, and improving adherence and engagement with prescribed care rehabilitation plans.For the NHS, our technology will improve access to rehabilitation services; provide clinically accurate data to clinicians; support NHS, NICE, and UK GOV policies on healthy ageing, telemedicine, and recovery empowerment; enable arthroplasty patients to recover health, movement, and quality of life up to 30% faster than current care approaches alone.Ultimately, we believe the technology will help the NHS save ~£1,418 in non-operative treatment costs per patient = £248m potential saving per annum, equivalent to~18% of total NHS arthroplasty spend.