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Big Data Based m-Health Application to Prevent Health Hazards: A Design Science Framework

机译:基于大数据的M健康应用,以防止健康危害:设计科学框架

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Background: Every year about three million Muslims visit the Holy City of Makkah in Saudi Arabia to perform the Hajj. Because of the large number of people present during this period, pilgrims can be subjected to many health hazards. An adequate system to minimize these health hazards is needed to support the pilgrims who attend the Hajj. This study justifies the need for developing a large data-based m-Health application to identify the health hazards encountered during the Hajj. Materials and Methods: In developing a big data-based m-Health application, this study follows the framework suggested by Hevner. The design of the science framework allows the development of a technological solution (i.e., design artifact) of the problem through a series of actions. The design involves rigorous knowledge of the environmental factors, including knowledge of the construction and evaluation of technological solutions, that are important and relevant to an existing problem. Results: Based on the design science framework, the process of artifact development can be classified into Artifact Design, Artifact Implementation, and Artifact Evaluation. This paper presents the Artifact Design step for the design of the big data-based m-Health application, which has an Environmental Relevance Cycle, a Knowledge-based rigor Cycle, and an Artifice development and design cycle. The big data-based m-Health application is a prototype and must be evaluated using the evaluation-and-feedback loop process until the optimum artifact is completely built and integrated into the system. Conclusion: Development of a big data-based m-Health application using a design science framework can support the effective and comprehensive plan of the government of Saudi Arabia for preventing and managing Hajj-related health issues. Our proposed model for developing and designing a big data-based m-Health application could provide direction for developing the most advanced solution for dealing with the Hajj-related health issues in the future.
机译:背景:每年约有300万穆斯林访问沙特阿拉伯的圣城Makkah,以执行HAJJ。由于在此期间存在的大量人,因此朝圣者可以受到许多健康危害。需要最大限度地减少这些健康危害的适当系统来支持参加HAJJ的朝圣者。这项研究证明了需要开发大型数据的M健康申请,以确定HAJJ期间遇到的健康危害。材料和方法:在开发基于数据的大数据的M健康应用中,本研究遵循HEVNER建议的框架。科学框架的设计允许通过一系列动作开发问题的技术解决方案(即设计工件)。该设计涉及对环境因素的严格知识,包括技术解决方案的建设和评估知识,这与现有问题很重要。结果:基于设计科学框架,工匠开发过程可以分为工件设计,工件实现和工件评估。本文提出了设计基于大数据的M-Health应用程序的工件设计步骤,其具有环境相关性周期,基于知识的严格周期和技巧开发和设计周期。基于大数据的M健康应用程序是一种原型,必须使用评估和反馈循环过程进行评估,直到完全构建并集成到系统中的最佳伪像。结论:使用设计科学框架开发基于大数据的M健康申请,可以支持沙特阿拉伯政府的有效和全面计划,以防止和管理与哈哈相关的健康问题。我们提出的开发和设计基于数据的M-Health应用程序的模型可以提供开发最先进的解决方案,以便将来处理HAJJ相关的健康问题。

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