Published on in Vol 16, No 9 (2014): September
![Crowdsourcing Knowledge Discovery and Innovations in Medicine Crowdsourcing Knowledge Discovery and Innovations in Medicine](https://asset.jmir.pub/assets/0380e890d80396070e068fa26aab57e8.png 480w,https://asset.jmir.pub/assets/0380e890d80396070e068fa26aab57e8.png 960w,https://asset.jmir.pub/assets/0380e890d80396070e068fa26aab57e8.png 1920w,https://asset.jmir.pub/assets/0380e890d80396070e068fa26aab57e8.png 2500w)
1 Institute for Medical Engineering and Science, Laboratory of Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, United States
2 Beth Israel Deaconess Medical Center, Division of Pulmonary, Critical Care and Sleep Medicine, Harvard Medical School, Boston, MA, United States
3 Engineering Systems Division, Massachusetts Institute of Technology, Cambridge, MA, United States
4 Beth Israel Deaconess Medical Center, Department of Medicine, Harvard Medical School, Boston, MA, United States
5 Smart Scheduling, Inc., Cambridge, MA, United States
6 UVA Center for Wireless Health, Departments of Anesthesiology and Neurosurgery, University of Virginia School of Medicine, Charlottesville, VA, United States
*all authors contributed equally