Steinhubl Steven R, Muse Evan D, Topol Eric J
Scripps Translational Science Institute, La Jolla, CA 92037, USA.
Sci Transl Med. 2015 Apr 15;7(283):283rv3. doi: 10.1126/scitranslmed.aaa3487.
The surge in computing power and mobile connectivity have fashioned a foundation for mobile health (mHealth) technologies that can transform the mode and quality of clinical research and health care on a global scale. Unimpeded by geographical boundaries, smartphone-linked wearable sensors, point-of-need diagnostic devices, and medical-grade imaging, all built around real-time data streams and supported by automated clinical decision-support tools, will enable care and enhance our understanding of physiological variability. However, the path to mHealth incorporation into clinical care is fraught with challenges. We currently lack high-quality evidence that supports the adoption of many new technologies and have financial, regulatory, and security hurdles to overcome. Fortunately, sweeping efforts are under way to establish the true capabilities and value of the evolving mHealth field.
计算能力和移动连接的激增为移动健康（mHealth）技术奠定了基础，这些技术能够在全球范围内改变临床研究和医疗保健的模式与质量。不受地理边界限制，围绕实时数据流构建并由自动化临床决策支持工具提供支持的、与智能手机相连的可穿戴传感器、即时诊断设备和医疗级成像技术，将改善医疗护理并增进我们对生理变异性的理解。然而，将移动健康纳入临床护理的道路充满挑战。我们目前缺乏支持采用许多新技术的高质量证据，并且还需克服财务、监管和安全方面的障碍。幸运的是，各方正在做出全面努力，以确立不断发展的移动健康领域的真正能力和价值。
