TeleRehabilitation of Balance clinical and economic Decision Support System

平衡临床和经济决策支持系统的远程康复

• 批准号: 10070260
• 金额: $ 19.84万
• 依托单位: GUYS AND ST THOMAS NHS FOUNDATION TRUST
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10070260
• 关键词: TeleRehabilitation; Balance; clinical; economic; Decision

eleRehaB DSS targets the promotion of AI adoption in everyday clinical practice for balance rehabilitation training. An AI-based decision support system (DSS) will be developed expanding upon the existing Augmented Reality (AR) rehabilitation training platform, with its balance exercises, exergames, cognitive training and remote patient monitoring with wearables and IoT devices from HOLOBALANCE project (TL6), to provide suggestive feedback for experts through the entire clinical rehabilitation pathway. The first component of AI models of TeleRehaB DSS will assess prognostic factors for risk of falls, treatment effectiveness, outcomes and side effects at baseline level, using a high volume of retrospective data for initial training. The other AI pillar of TeleRehaB DSS will introduce automated balance intervention planning and management functionality. The DSS will provide for each patient an optimal set of personalised rehabilitation activities, considering the best clinically effective treatment in conjunction with socio-economic effectiveness, and eHealth literacy. The later will be evaluated with a quick and easy to use tool with simple tasks to assess patient's level of technological awareness (i.e. use of smart devices, AR and IoT equipment), in order to predict if this is going to affect compliance and adherence with interventions that rely on the use of such novel technologies. Finally, the most beneficial use of AI in TeleRehaB DSS will consist of automated remote patient monitoring with wearables and IoT sensing devices, allowing rehabilitation training programs to be performed at home. The DSS will evaluate in real-time patient performance, symptoms occurrence with virtual AR physio's providing corrective and motivational feedback as activities are performed. These performance evaluation measures will be fed back to the DSS to support experts with their most time and effort-consuming activities of day-to-day patient management.

eleRehaB DSS的目标是促进在日常临床实践中采用AI进行平衡康复训练。将开发一个基于人工智能的决策支持系统（DSS），扩展现有的增强现实（AR）康复训练平台，其平衡练习，exergames，认知训练和远程患者监测与可穿戴设备和物联网设备从HOLOBALANCE项目（TL6），通过整个临床康复路径为专家提供建议性反馈。TeleRehaB DSS的AI模型的第一个组成部分将使用大量的回顾性数据进行初始训练，评估基线水平的福尔斯风险、治疗有效性、结局和副作用的预后因素。TeleRehaB DSS的另一个AI支柱将引入自动平衡干预规划和管理功能。DSS将为每位患者提供一套最佳的个性化康复活动，考虑到最佳的临床有效治疗，以及社会经济效益和电子卫生知识。后者将通过一种快速易用的工具进行评估，该工具具有简单的任务，以评估患者的技术意识水平（即使用智能设备，AR和物联网设备），以预测这是否会影响依赖于使用此类新技术的干预措施的依从性和依从性。最后，人工智能在TeleRehaB DSS中最有益的用途将包括使用可穿戴设备和物联网传感设备进行自动远程患者监测，允许在家中进行康复训练计划。DSS将实时评估患者表现、症状发生情况，虚拟AR理疗师在活动进行时提供纠正和激励反馈。这些绩效评估指标将反馈给DSS，以支持专家进行最耗时和最费力的日常患者管理活动。