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Continual Screening of Patients Using mHealth: The Rolling Score Concept Applied to Sleep Medicine

机译:使用MHECHEATH的患者持续筛查:滚动得分概念适用于睡眠医学

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Continual monitoring of patients utilizing mHealth-based telemonitoring applications are more and more used for individual management of patients. A new approach in risk assessment called Rolling Score Concept uses standardized questionnaires for continual scoring of individuals' health state through electronic patient reported outcome (ePRO). Using self-rated questionnaires and adding a specific Time Schedule to each question result in a movement of the questionnaires' scores over time, the Rolling Score. A text-processing pipeline was implemented with KNIME analytics platform to extract a Score Mapping Rule Set for three standardized screening questionnaires in the field of sleep medicine. A feasibility study was performed in 10 healthy volunteers equipped with a mHealth application on a smartphone and a sleep tracker. Results show that the proposed Rolling Score Concept is feasible and deviations of scores are in a reasonable range (< 7%), sustaining the new approach. However, further studies are required for verification. In addition, parameter quantification could avoid incorrect subjective evaluation by substitution of questions with sensor data.
机译:利用基于MHECHEATH的远程应用程序的患者的持续监测越来越多地用于患者的个体管理。叫做滚动得分概念的风险评估的新方法使用标准化问卷通过电子患者报告的结果(EPRO)对个人的健康状况不断进行。使用自额定问卷并向每个问题添加特定时间计划导致调查问卷的分数随着时间的评分而导致调查表的分数。用KNIME分析平台实现文本处理管道,以提取睡眠医学领域的三个标准化筛选问卷的分数映射规则集。在智能手机和睡眠跟踪器上的10名健康志愿者中进行了可行性研究。结果表明,建议的轧制得分概念是可行的,得分的偏差在合理的范围内(<7%),维持新方法。但是,需要进一步研究验证。此外,参数量化可以通过使用传感器数据替换问题来避免不正确的主观评估。

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