TeleRehaB DSS: TeleRehabilitation of Balance clinical and economic Decision Support System

Telerehab DSS的目标是促进在日常临床实践中采用人工智能进行平衡康复训练。HLOBALANCE项目(TL6)的可穿戴设备和物联网设备将在现有增强现实(AR)康复训练平台的基础上扩展开发基于AI的决策支持系统(DSS)，包括平衡练习、用力游戏、认知训练和远程患者监控，以在整个临床康复路径中为专家提供建议反馈。Telerehab DSS人工智能模型的第一个组成部分将使用大量用于初始培训的回顾数据，在基线水平上评估跌倒风险、治疗有效性、结果和副作用的预后因素。Telerehab DSS的另一个人工智能支柱将引入自动平衡干预规划和管理功能。DSS将为每个患者提供一套最佳的个性化康复活动，考虑最佳的临床有效治疗以及社会经济效果和电子健康素养。后者将通过一个快速且易于使用的工具进行评估，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这些新技术的干预措施的遵从性和遵从性。最后，人工智能在telerehab DSS中最有益的使用将包括使用可穿戴设备和物联网传感设备自动远程监控患者，从而允许在家中执行康复培训计划。DSS将实时评估患者的表现、症状发生情况，并在活动进行时由虚拟AR理疗师提供纠正和激励反馈。这些绩效评估措施将反馈给DSS，以支持专家进行最耗时和最耗费精力的日常病人管理活动。

TeleRehaB 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 optimalset 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 tasksto assess patient'slevel 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.