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

关节外科（关节成形术）每年花费NHS超过14亿英镑，每年进行321，000例手术，数量不断增长。这些手术不仅昂贵，（~ 11，433英镑膝关节/~ 33，321英镑髋关节;自2012年以来，真实的成本增加了39%），它们还需要广泛的，以患者为主导的，如果他们想真正成功，让病人重新获得充分的活动能力和生活质量，就必须在家里进行预防和康复训练。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，导致疼痛加重，功能状态降低，并给英国经济带来显著的社会护理成本。PathStance（Ps）解决了NHS对准确可靠的家庭康复设备的关键需求，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机器学习，以准确地映射，度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的指标，实时。这些数据与触觉和物理治疗结合使用，为用户提供高精度的实时矫正反馈，帮助用户进行居家康复训练，并为临床医生提供准确、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群的活动水平、降低足部溃疡风险、对于NHS，我们的技术将改善康复服务的可及性;为临床医生提供准确的临床数据;支持NHS，NICE和英国政府关于健康老龄化，远程医疗和康复授权的政策;使关节成形术患者恢复健康，运动和生活质量比目前的护理方法快30%。最终，我们相信该技术将帮助NHS节省每位患者约1，418英镑的非手术治疗费用=每年潜在节省2.48亿英镑，相当于NHS关节置换术总支出的约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.