The emerging field of mobile health

By Steven R. Steinhubl, E. Muse, Eric J. Topol. Science Translational Medicine, 2015

719 citations recorded by the source corpus.

Mobile technologies can transform clinical research and health care worldwide—and save money. 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.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, General Health Professions

View Paper: https://www.semanticscholar.org/paper/43e3736cb7f08f922a720f2fc8f73a031ee78d6c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

  1. Stephen M. Schueller

In Computer Vision and Pattern Recognition

  1. Martin McKee
  2. Yuxi Wang
  3. A. Torbica
  4. Stephen M. Schueller
  5. D. Stuckler

In General Health Professions

  1. Stephen M. Schueller

Citations in the corpus