基于Android的孕妇移动数字医疗应用程序设计

Sri Nawangsari, Robby Kurniawan Harahap, H. Rasyid, N. Herlina, Erik Ekowati, Anugriaty Indah Asmarany
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引用次数: 2

摘要

在Covid-19大流行期间减少流动性的规定已成为孕妇的一个问题。孕妇是接触该病毒的高风险群体。此外,对保健服务中心或Puskesmas的定期访问也受到限制。然后,常规就诊的减少导致孕妇的健康状况无法监测。在本文中,移动应用程序被设计并用作数字指南,以帮助监测大流行期间孕妇的状况。采用基于ADDIE框架的研究方法,采用实验与修订协作(ERC)的软件开发方法。这款手机应用名为“致敬Bidan”。“向Bidan致敬”功能就像是将一些与怀孕有关的助产士任务数字化。这个应用程序与其他应用程序的区别在于自我筛选。这种自我筛查是根据Poedji Rochyati记分卡制定的30项风险标准制定的妊娠风险水平。这个研究结果是一个移动应用程序的结果,除了一个web应用程序与web视图技术。这个应用程序已经用用例进行了黑盒测试,所有测试用例的结果都通过了。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Mobile Digital Healthcare Application For Pregnant Women Based on Android
Regulations for reducing mobility during the Covid-19 pandemic have become a problem for pregnant women. Pregnant women are a group with a high risk of being exposed to the virus. In addition, regular visits to health service centers or Puskesmas are also limited. Then the reduction in routine visits causes the health condition of pregnant women to be unable to be monitored. In this paper, the mobile application was designed and used as a digital guide to help monitor the condition of pregnant women during the pandemic. The research methods used are based on the ADDIE Framework with the software development method using the Experiment and Revision Collaboration (ERC). This mobile application is called Salute Bidan. The Salute Bidan feature is like digitizing some of the midwife tasks which consist of matters relating to pregnancy. The thing that distinguishes this application from other applications is self-screening. This self-screening was developed based on the level of pregnancy risk using the development of 30 risk criteria from the Poedji Rochyati scorecard. This research result is a mobile application in addition to the results of a web application with a web view technique. This app has been tested using black-box testing with use case and the results of all test cases passing.
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