Open mHealth Architecture: A Primer for Tomorrow's Orthopedic Surgeon and Introduction to Its Use in Lower Extremity Arthroplasty
Open mHealth Architecture: A Primer for Tomorrow's Orthopedic Surgeon and Introduction to Its Use in Lower Extremity Arthroplasty
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DOI：
10.1016/j.arth.2016.11.019
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发表时间：
2017-04-01
影响因子：
3.5
通讯作者：
Mont, Michael A.
中科院分区：
文献类型：
--
作者：
Ramkumar, Prem N.;Muschler, George F.;Mont, Michael A.
背景资料：最近公私合作解锁和利用所有可用的健康数据，对公共卫生和个性化医疗，特别是在骨科领域，有着巨大的影响。如今，智能手机和“可穿戴设备”等基于消费者的技术存储了大量的个人健康数据（被称为“mHealth”），当处理和情境化时，有可能为整形外科医生打开关于他们病人的新的洞察窗口。方法：在本报告中，和未来的技术考虑mHealth和开放式架构的定义与下肢关节成形术的具体例子。结果：当前移动健康领域的一个局限性是无数可用应用程序之间的碎片化和缺乏互联性。目前缺乏开放的mHealth架构背后的重要性是通过提供改进的研究，提高工作流程效率和骨科医生的价值捕获来强调的。对于整形外科医生，尤其是下肢关节成形术专业的整形外科医生，存在利用现有移动的健康数据的机会，通过实施提供通用数据标准和全球互联网络的“开放”架构，将患者的小数据转化为有洞察力的大数据。(C)2016 Elsevier Inc. All rights reserved.
Background: The recent private-public partnership to unlock and utilize all available health data has large-scale implications for public health and personalized medicine, especially within orthopedics. Today, consumer based technologies such as smartphones and "wearables" store tremendous amounts of personal health data (known as " mHealth") that, when processed and contextualized, have the potential to open new windows of insight for the orthopedic surgeon about their patients.Methods: In the present report, the landscape, role, and future technical considerations of mHealth and open architecture are defined with particular examples in lower extremity arthroplasty.Results: A limitation of the current mHealth landscape is the fragmentation and lack of interconnectivity between the myriad of available apps. The importance behind the currently lacking open mHealth architecture is underscored by the offer of improved research, increased workflow efficiency, and value capture for the orthopedic surgeon.Conclusion: There exists an opportunity to leverage existing mobile health data for orthopaedic surgeons, particularly those specializing in lower extremity arthroplasty, by transforming patient small data into insightful big data through the implementation of " open" architecture that affords universal data standards and a global interconnected network. (C) 2016 Elsevier Inc. All rights reserved.