基于智能手机的药物摄入调度,提醒和监控

J. Zao, Mei-Ying Wang, P. Tsai, J. W. Liu
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引用次数: 47

摘要

门诊药物管理被认为是现代医疗保健中最容易出错的程序。大多数药物管理错误是由于患者从几家药店购买处方药和非处方药,并在没有适当指导的情况下在家使用。在本文中,我们介绍Wedjat,一个智能手机应用程序,帮助患者避免这些错误。Wedjat可以提醒用户按时服用正确的药物,并保留服药记录,供医疗保健专业人员日后查看。Wedjat有两个显著的特点:(1)它可以提醒患者潜在的药物-药物/药物-食物相互作用,并计划服用时间表,以避免这些不良相互作用;(2)当漏服剂量时,可自动修改服药计划。在这两种情况下,软件总是产生最简单的时间表与最少的输入数量。Wedjat与大多数智能手机上的日历应用程序一起使用,可以发出药物和用餐提醒。它还显示了药物的图片,并提供了简洁的服用说明。作为一种远程监控设备,Wedjat可以在船上保存服药记录,与主机上的数据库同步,或者将它们上传到电子病历(EMR)系统。Wedjat的原型已经在windows Mobile平台上实现。本文介绍了Wedjat的设计思想,重点介绍了其药物调度和分组算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart phone based medicine in-take scheduler, reminder and monitor
Out-patient medication administration was identified as the most error-prone procedure in modern healthcare. Most medication administration errors were made when patients ac-quired prescribed and over-the-counter medicines from several drug stores and use them at home without proper guidance. In this paper, we introduce Wedjat, a smart phone application that helps patients to avoid these mistakes. Wedjat can remind its users to take the correct medicines on time and keep an in-take record for later review by healthcare professionals. Wedjat has two distinguished features: (1) it can alert the patients about potential drug-drug/drug-food interactions and plan an in-take schedule that avoids these adverse interactions; (2) it can revise an in-take schedule automatically when a dose was missed. In both cases, the software always produces the simplest schedule with least number of in-takes. Wedjat works with the calendar application available on most smart phones to issue medicine and meal reminders. It also shows pictures of the medicine and pro-vides succinct in-take instructions. As a telemonitoring device, Wedjat can maintain medicine in-take records on board, syn-chronize them with a database on a host machine or upload them onto an electronic medical records (EMR) system. A prototype of Wedjat has been implemented on Window Mobile platform. This paper introduces the design concepts of Wedjat with emphasis on its medication scheduling and grouping algorithms.
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