Martínez-Pérez Borja, de la Torre-Díez Isabel, López-Coronado Miguel, Sainz-de-Abajo Beatriz, Robles Montserrat, García-Gómez Juan Miguel
Department of Signal Theory and Communications, and Telematics Engineering, University of Valladolid, Paseo de Belén, 15., 47011, Valladolid, Spain,
J Med Syst. 2014 Jan;38(1):4. doi: 10.1007/s10916-013-0004-y. Epub 2014 Jan 8.
The latest advances in eHealth and mHealth have propitiated the rapidly creation and expansion of mobile applications for health care. One of these types of applications are the clinical decision support systems, which nowadays are being implemented in mobile apps to facilitate the access to health care professionals in their daily clinical decisions. The aim of this paper is twofold. Firstly, to make a review of the current systems available in the literature and in commercial stores. Secondly, to analyze a sample of applications in order to obtain some conclusions and recommendations. Two reviews have been done: a literature review on Scopus, IEEE Xplore, Web of Knowledge and PubMed and a commercial review on Google play and the App Store. Five applications from each review have been selected to develop an in-depth analysis and to obtain more information about the mobile clinical decision support systems. Ninety-two relevant papers and 192 commercial apps were found. Forty-four papers were focused only on mobile clinical decision support systems. One hundred seventy-one apps were available on Google play and 21 on the App Store. The apps are designed for general medicine and 37 different specialties, with some features common in all of them despite of the different medical fields objective. The number of mobile clinical decision support applications and their inclusion in clinical practices has risen in the last years. However, developers must be careful with their interface or the easiness of use, which can impoverish the experience of the users.
电子健康和移动健康领域的最新进展推动了医疗保健移动应用的迅速创建和扩展。这类应用之一是临床决策支持系统,如今它正被应用于移动应用程序中,以方便医疗保健专业人员在日常临床决策中获取信息。本文的目的有两个。第一,对文献和商业应用商店中现有的系统进行综述。第二,分析一组应用程序样本,以得出一些结论和建议。进行了两项综述:一项是在Scopus、IEEE Xplore、Web of Knowledge和PubMed上进行的文献综述,另一项是在谷歌应用商店和苹果应用商店上进行的商业应用综述。从每项综述中挑选了五个应用程序进行深入分析,以获取更多关于移动临床决策支持系统的信息。共找到92篇相关论文和192个商业应用程序。其中44篇论文仅关注移动临床决策支持系统。谷歌应用商店上有171个应用程序,苹果应用商店上有21个。这些应用程序是为普通医学和37个不同专科设计的,尽管目标医疗领域不同,但它们都有一些共同的功能。在过去几年中,移动临床决策支持应用程序的数量及其在临床实践中的应用有所增加。然而,开发者必须注意其界面或易用性,否则可能会降低用户体验。