Pharow Peter, Lhotska Lenka, Cheshire Paul
Fraunhofer Institute for Digital Media Technology IDMT, Ilmenau, Germany.
Stud Health Technol Inform. 2013;189:27-32.
Mobile devices are becoming more and more important for services offered either directly to individuals, or indirectly as part of a therapeutic or rehabilitation procedure. Representing the work of the EFMI WG "Personal Portable Devices", this paper offers an introduction to some of the most important technical and privacy-related challenges that arise when introducing mobile sensor or actuator devices (and networks) into health care, wellness, and fitness processes in order to exploit their capability to collect, record and process personal health data. Data processing can be viewed in three classes of application, namely processes for recommendations, decision support and decision making in personalized health and wellbeing service provision. This paper therefore briefly addresses aspects such as the Medical Device Directive for certifying devices in that respect. But regardless whether being MDD-compliant or not, each class of devices may have its own benefits and weaknesses in terms of enabling health-related personalized decisions.
移动设备对于直接提供给个人的服务，或作为治疗或康复程序的一部分间接提供的服务而言，正变得越来越重要。本文代表了EFMI工作组“个人便携式设备”的工作，介绍了在将移动传感器或执行器设备（及网络）引入医疗、健康和健身流程，以利用其收集、记录和处理个人健康数据的能力时出现的一些最重要的技术和隐私相关挑战。数据处理可在三类应用中看到，即在个性化健康和福祉服务提供中的推荐、决策支持和决策过程。因此，本文简要讨论了在这方面对设备进行认证的《医疗器械指令》等方面。但无论是否符合MDD，每类设备在实现与健康相关的个性化决策方面可能都有其自身的优点和缺点。
