Shifting the Paradigm in Home Physiotherapy: Implementation and Implications of Adherence Monitoring with Artificial Intelligence

改变家庭物理治疗的范式：人工智能依从性监测的实施和意义

• 批准号: 538866-2019
• 负责人: Whyne, Cari
• 金额: $ 9.21万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Collaborative Health Research Projects
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=693403
• 关键词: Shifting; Paradigm; Home; Physiotherapy; Implementation

Physical therapy is essential for the successful rehabilitation of common shoulder injuries and following shoulder surgery. Patients may receive some training and supervision for shoulder physiotherapy through private pay or private insurance, but they are typically responsible for performing most of their physiotherapy independently at home. It is unknown how often patients perform their home exercises and if these exercises are done correctly without supervision. There are no established tools for measuring this. It is therefore unclear if the full benefit of shoulder physiotherapy treatments are being realized.Our team has recently developed a Smart Physiotherapy Activity Recognition System (SPARS) for tracking home shoulder physiotherapy exercises using sensors in a commercial smart watch and artificial intelligence (AI). SPARS was successful in identifying shoulder exercises in healthy adults in the laboratory setting. Further inquiry is required to establish theclinical effectiveness of this technology and investigate the potential individual and societal impacts of its use.The proposed research will 1) Further develop and validate the SPARS technology for evaluating adherence to shoulder exercise participation and technique in a clinical patient population with rotator cuff pathology, advancing the state-of-the-art in rehabilitation engineering AI. 2) Use SPARS to quantify the rate of home physiotherapy adherence, determine the effects of adherence on recovery, and identify barriers to successful adherence; leading to novel actionable insights on current treatment protocols. 3) Develop and pilot test an ethically conscious SPARS-powered rehabilitation program thatindividualizes patient-care based on their adherence. A careful examination of the ethical and policy challenges related to surveillance for self-managed medical treatments will help ensure SPARS and related technologies be deployed conscientiously and to a benefit of patients and society.

物理治疗对于普通肩关节损伤的成功康复和肩关节手术至关重要。患者可能会通过私人支付或私人保险接受一些肩部物理治疗的培训和监督，但他们通常负责在家中独立完成大部分物理治疗。目前尚不清楚患者多久进行一次家庭锻炼，以及这些锻炼是否在没有监督的情况下正确进行。没有现成的工具来衡量这一点。因此，目前尚不清楚肩部物理治疗的全部益处是否被实现。我们的团队最近开发了一种智能物理治疗活动识别系统（SPARS），用于使用商用智能手表和人工智能（AI）中的传感器跟踪家庭肩部物理治疗运动。SPARS在实验室环境中成功地确定了健康成人的肩部运动。需要进一步调查以确定该技术的临床有效性，并调查其使用对个人和社会的潜在影响。该研究将1)进一步开发和验证SPARS技术，用于评估患有肩袖病变的临床患者参与肩部运动的依从性和技术，推进康复工程人工智能的最新发展。2)使用SPARS量化家庭物理治疗依从率，确定依从性对康复的影响，并确定成功依从性的障碍；对当前的治疗方案提出新颖可行的见解。3)开发并试点一个具有道德意识的spars康复项目，根据患者的依从性对患者进行个性化护理。仔细审查与监督自我管理医疗有关的伦理和政策挑战，将有助于确保认真部署SPARS和相关技术，造福患者和社会。