Gurupur Varadraj P
School of Global Health Management and Informatics, University of Central Florida, Orlando, FL, USA.
Mhealth. 2022 Apr 20;8:18. doi: 10.21037/mhealth-21-39. eCollection 2022.
The article is a narrative review that briefly describes some of the recent advances in healthcare data management that will have positive effect on mHealth. The advances described in this article are in fact innovation introduced by the author to the field of data management with respect to electronic health records. The research delineated is transdisciplinary in nature and will potentially have positive impact on healthcare outcomes. Also, the article illustrates the necessity for an out of the box thinking approach to improve mHealth while discussing the current impending issues related to data incompleteness of electronic health records and the much-needed decision support systems for mHealth. It is to be noted that most of the electronic health records are now accessed by patients through mobile devices. These mobile devices will run as clients while much of the heavy computing is performed using servers. Here it is important to discuss some of the important technologies and methods used for decision making. The article attempts to present a discussion on how this myriad of intertwining technologies support this decision making with respect to electronic health records. More importantly it is these processes that assist in decision making and efficiency for both mHealth users and providers. In this respect, the article first provides insights on the complexities of decision making involved with electronic health records. This is followed by a discussion on the problem of data incompleteness of electronic health records. Finally, the author provides some insights into the gravity of the problem of data incompleteness in terms of revenue loss/gain for healthcare providers.
本文是一篇叙述性综述，简要介绍了医疗保健数据管理方面的一些最新进展，这些进展将对移动健康产生积极影响。本文所述的进展实际上是作者在电子健康记录的数据管理领域引入的创新。所描述的研究本质上是跨学科的，可能会对医疗保健结果产生积极影响。此外，本文在讨论与电子健康记录数据不完整相关的当前紧迫问题以及移动健康急需的决策支持系统时，说明了采用创新思维方法来改善移动健康的必要性。需要注意的是，现在大多数患者通过移动设备访问电子健康记录。这些移动设备将作为客户端运行，而大部分繁重的计算则由服务器完成。在此，讨论一些用于决策的重要技术和方法很重要。本文试图就这众多相互交织的技术如何支持与电子健康记录相关的决策进行讨论。更重要的是，正是这些流程有助于移动健康用户和提供者的决策制定和提高效率。在这方面，本文首先深入探讨了与电子健康记录相关的决策复杂性。接着讨论了电子健康记录数据不完整的问题。最后，作者从医疗保健提供者的收入损失/收益角度，对数据不完整问题的严重性提供了一些见解。
