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inSERT -- An NFC-based Self Reporting Questionnaire for Patients with Impaired Fine Motor Skills

机译:inSERT-基于NFC的自我报告调查表,适用于精细运动技能受损的患者

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Self-reporting patient data are valuable feedback for medical treatment and care process, as well as for clinical trial studies and support of medical treatment. However, traditional paper-based medical patient longitudinal surveys or questionnaires for health and well-being status information are time- and cost-consuming, and may suffer from low patient compliance. Consequently, an NFC-based electronic data capture prototype called inSERT has been designed that allows quick and easy self-reporting for patients. inSERT allows patient monitoring enabling, electronic acquisition of well-being data right from the patient's home and real time representation of patient data, enabling direct medical intervention by physicians. The functional requirements for the inSERT system were determined through an extensive, user-centric elicitation process. We chose Near Field Communication (NFC) as a technology, for which the interaction paradigm is quick to learn and is intuitive, without prior knowledge being necessary, it is almost as simple as to fill out a paper-based questionnaire. Particularly for the target group (elderly people and people with impaired fine motor skills) - those who are not familiar with the use of mobile phones or computers - it makes NFC a very promising field compared to the control with touch based displays or computer mouse. The prototype is currently evaluated in a field test. The technical feasibility, implementation details, limitations and future research approaches are discussed in this paper.
机译:自我报告的患者数据对于药物治疗和护理过程以及临床试验研究和药物治疗支持都是有价值的反馈。然而,用于健康和幸福状态信息的传统的基于纸质的医疗纵向调查或问卷调查既费时又费钱,并且可能会导致患者依从性低下。因此,已经设计了一种称为inSERT的基于NFC的电子数据捕获原型,该原型可让患者快速轻松地进行自我报告。 inSERT允许患者监测启用,直接从患者家中以电子方式获取健康数据以及实时呈现患者数据,从而实现医生的直接医疗干预。通过广泛的以用户为中心的启发过程来确定inSERT系统的功能要求。我们选择近距离通信(NFC)作为一种技术,其交互范例快速学习且直观,无需先验知识,几乎就像填写纸质问卷一样简单。特别是对于目标人群(老年人和精细运动技能受损的人群)-不熟悉手机或计算机使用的人群-与基于触摸显示器或计算机鼠标的控件相比,它使NFC成为一个非常有前途的领域。该原型目前在现场测试中进行评估。本文讨论了技术可行性,实施细节,局限性和未来的研究方法。

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