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The emerging field of mobile health

Science Translational Medicine · 2015 · Vol. 7(283) · pp. 283rv3–283rv3
Steven R. SteinhublEvan D. MuseEric J. Topol

Abstract

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.

Mobile Health and mHealth ApplicationsIoT and Edge/Fog ComputingContext-Aware Activity Recognition SystemsmHealthWearable computerComputer scienceMobile technologyField (mathematics)TelemedicineQuality (philosophy)Scale (ratio)Health carePoint of care

MeSH terms

AutomationDecision MakingHumansSoftwareTelemedicinePoint-of-Care SystemsDecision Support Systems, ClinicalBiomedical TechnologyComputers, HandheldCell PhoneLab-On-A-Chip Devices

Funding

  • Qualcomm
  • National Institutes of Health
  • National Center for Advancing Translational Sciences
Citations
790
FWCI
105.43
field-weighted impact
References
24
Percentile
100%
vs. same field & year
Citations per year
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