Facilitating the development of cross-platform mHealth applications for chronic supportive care and a case study.,Journal of Biomedical informatics

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Facilitating the development of cross-platform mHealth applications for chronic supportive care and a case study.
Journal of Biomedical informatics ( IF 4.0 ) Pub Date : 2020-04-07 , DOI: 10.1016/j.jbi.2020.103420
Devasena Inupakutika ₁ , Sahak Kaghyan ₁ , David Akopian ₁ , Patricia Chalela ₂ , Amelie G Ramirez ₂

Affiliation

Mobile health (mHealth) apps have received increasing attention, due to their abilities to support patients who suffer from various conditions. mHealth apps may be especially helpful for patients with chronic diseases, by providing pertinent information, tracking symptoms, and inspiring adherence to medication regimens. To achieve these objectives, researchers need to prototype mHealth apps with dedicated software architectures. In this paper, a cloud-based mHealth application development concept is presented for chronic patient supportive care apps. The concept integrates existing software platforms and services for simplified app development that can be reused for other target applications. This developmental method also facilitates app portability, through the use of common components found across multiple mobile platforms, and scalability, through the loose coupling of services. The results are demonstrated by the development of native Android and cross-platform web apps, in a case study that presents an mHealth solution for endocrine hormone therapy (EHT). A performance analysis methodology, an app usability evaluation, based on focus group responses, and alpha and pre-beta testing results are provided.

中文翻译：

促进跨平台mHealth应用程序的开发，以进行长期支持治疗和案例研究。

移动医疗（mHealth）应用程序能够为患有各种疾病的患者提供支持，因此受到越来越多的关注。通过提供相关信息，跟踪症状并激发对药物治疗的依从性，mHealth应用程序可能对慢性病患者特别有用。为了实现这些目标，研究人员需要使用专用软件体系结构对mHealth应用进行原型设计。在本文中，提出了一种基于云的mHealth应用程序开发概念，用于长期患者支持护理应用程序。该概念集成了用于简化应用程序开发的现有软件平台和服务，可将其重用于其他目标应用程序。通过使用跨多个移动平台发现的通用组件以及可扩展性，这种开发方法还促进了应用程序的可移植性，通过服务的松散耦合。案例研究提供了用于内分泌激素疗法（EHT）的mHealth解决方案，该结果通过本地Android和跨平台Web应用程序的开发得到了证明。提供了性能分析方法，基于焦点小组的响应的应用程序可用性评估以及alpha和beta测试结果。

更新日期：2020-04-21

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