Creating A Reliable Digital Maternal Health Platform Using Maslow's Hierarchy and Nielsen Heuristics

N. Patel, Arianne Gleiser, Yalda Khashe
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Abstract

This research seeks to build on previous efforts to serve the needs of expectant mothers in terms of providing effective digital healthcare. The first task in accomplishing this was to determine a list of basic features needed to completely satisfy all key performance indicators and needs of a maternal healthcare website. Once this was completed and each category of the established hierarchy had been addressed, the second task could be approached. This was to ensure the platform’s usability by designing sub features with the Nielsen Heuristics in mind. The result of these tasks is a complete framework for an all-in-one platform powerful enough to assist women through pregnancy. This research is intended for doctors, specifically those interested in the evolving virtual landscape, and other healthcare professionals. We believe these people have a significant stake in the development of virtual platforms and welcome their interest and criticism. The significance of this research lies in its future potential: the actualization of the platform. A sound framework for the feature set has been established, so what follows is the implementation, which will prove useful to doctors and expectant mothers alike.
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利用马斯洛层次和尼尔森启发式创建可靠的数字孕产妇健康平台
这项研究试图在之前努力的基础上,为孕妇提供有效的数字医疗服务。实现这一目标的第一项任务是确定一份基本功能列表,以完全满足孕产妇保健网站的所有关键性能指标和需求。一旦完成了这项工作,并处理了既定层次结构的每一类问题,就可以着手执行第二项任务。这是为了确保平台的可用性,通过设计考虑到尼尔森启发式的子功能。这些任务的结果是为一个强大到足以帮助女性度过妊娠期的一体化平台提供了一个完整的框架。这项研究的对象是医生,特别是那些对不断发展的虚拟环境感兴趣的人,以及其他医疗保健专业人员。我们相信这些人在虚拟平台的发展中有着重要的利害关系,并欢迎他们的兴趣和批评。这项研究的意义在于其未来的潜力:平台的实现。已经为该功能集建立了一个健全的框架,因此接下来就是实施,这将对医生和孕妇都很有用。
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