@Article{info:doi/10.2196/32910，作者=“Predel, Christopher and Timmermann, Cristian and Ursin, Frank and Orzechowski, Marcin and Ropinski, Timo and Steger, Florian”，标题=“智能传感器在老年康复应用中的目标与价值冲突:伦理分析”，期刊=“JMIR Mhealth Uhealth”，年=“2022”，月=“6”，日=“23”，卷=“10”，数=“6”，页=“e32910”，关键词=“个人数据;可穿戴;老年人;自治;康复;智能传感器;机器学习;道德规范;获得卫生保健;背景:智能传感器作为康复诊断工具已经发展到覆盖越来越多的老年患者。 They promise to enable an objective assessment of complex movement patterns. Objective: This research aimed to identify and analyze the conflicting ethical values associated with smart sensors in geriatric rehabilitation and provide ethical guidance on the best use of smart sensors to all stakeholders, including technology developers, health professionals, patients, and health authorities. Methods: On the basis of a systematic literature search of the scientific databases PubMed and ScienceDirect, we conducted a qualitative document analysis to identify evidence-based practical implications of ethical relevance. We included 33 articles in the analysis. The practical implications were extracted inductively. Finally, we carried out an ethical analysis based on the 4 principles of biomedical ethics: autonomy, beneficence, nonmaleficence, and justice. The results are reported in categories based on these 4 principles. Results: We identified 8 conflicting aims for using smart sensors. Gains in autonomy come at the cost of patient privacy. Smart sensors at home increase the independence of patients but may reduce social interactions. Independent measurements performed by patients may result in lower diagnostic accuracy. Although smart sensors could provide cost-effective and high-quality diagnostics for most patients, minorities could end up with suboptimal treatment owing to their underrepresentation in training data and studies. This could lead to algorithmic biases that would not be recognized by medical professionals when treating patients. Conclusions: The application of smart sensors has the potential to improve the rehabilitation of geriatric patients in several ways. It is important that patients do not have to choose between autonomy and privacy and are well informed about the insights that can be gained from the data. Smart sensors should support and not replace interactions with medical professionals. Patients and medical professionals should be educated about the correct application and the limitations of smart sensors. Smart sensors should include an adequate representation of minorities in their training data and should be covered by health insurance to guarantee fair access. ", issn="2291-5222", doi="10.2196/32910", url="https://mhealth.www.mybigtv.com/2022/6/e32910", url="https://doi.org/10.2196/32910", url="http://www.ncbi.nlm.nih.gov/pubmed/35737429" }