支持电子病历的医疗传感器数据收集框架

Rakshit Wadhwa, Pushpendra Singh, Meenu Singh, Saurabh Kumar
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引用次数: 4

摘要

医疗保健数据的可用性使政府能够分析其政策的有效性,监测疾病的传播等。公共卫生保健的数据收集仍然是一个巨大的挑战,特别是在大多数数据收集仍然是在纸上完成的发展中国家。因此,最近有许多工具,例如ODK、Commcare,可以在移动设备上收集数据。同样,在数据收集过程中,越来越多地使用健康传感器来测量一些健康参数,例如心电图、血氧饱和度,但传感器测量的数据通常是手动输入到移动设备中。最后,在移动设备上收集的数据然后手动输入数据库(EMR或通用数据库),这是耗时的,并且由于手动输入而引入错误。虽然有部分解决方案可以将传感器连接到移动设备或移动设备连接到特定的EMR,但缺乏全面的端到端解决方案。在本文中,我们提出了我们的框架,它可以在移动设备上工作,允许一端收集传感器数据,并将数据存储到另一端的EMR中,从而为数据收集提供了一个全面的解决方案。该框架的要求是在采访了进行定期实地研究的医护人员后得出的。我们已经用一个公开可用的标准健康传感器和OpenMRS测试了我们的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An EMR-enabled medical sensor data collection framework
Availability of healthcare data allows governments to analyze effectiveness of their policies, monitor spread of a disease, etc. Data collection for public healthcare is still a big challenge, especially in developing countries where most of the data collection is still done on paper. Therefore, recently many tools, e.g. ODK, Commcare, have become available that allow data collection on mobile devices. Similarly, during data collection, use of health sensors to measure some of the health parameters, e.g. ECG, Oxygen Saturation, is increasing, but then the data measured by sensors is often entered manually to the mobile device. Finally, the data collected on a mobile device is then entered into a database (either an EMR or a general database) manually, which is time consuming and introduces error due to manual input. While partial solutions that enable connectivity of sensors to mobile device or mobile device to a specific EMR are available, there is a lack of a comprehensive end-to-end solution. In this paper, we present our framework which works on mobile devices to allow collection of sensor data at one end and stores data into an EMR on the other end, thus provides a comprehensive solution for data collection. The requirements of the framework were derived after interviewing healthcare workers who conduct regular field studies. We have tested our framework with a publicly available standard health sensor and OpenMRS.
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