Mobile health: the power of wearables, sensors, and apps to transform clinical trials
Autor: | Pei Wang, Veena Misra, Ian Ferguson, John J. Mastrototaro, Michelle Crouthamel, Brian M. Bot, Linda A. Malek, John D. Hixson, Glen de Vries, Leonard V. Sacks, Aydogan Ozcan, Pamela C. Baker, Bernard H. Munos |
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Rok vydání: | 2016 |
Předmět: |
0301 basic medicine
Telemedicine Computer science business.industry General Neuroscience media_common.quotation_subject Health technology Wearable computer Data science General Biochemistry Genetics and Molecular Biology 03 medical and health sciences 030104 developmental biology 0302 clinical medicine History and Philosophy of Science Analytics Health care Mobile technology Quality (business) business Mobile device 030217 neurology & neurosurgery media_common |
Zdroj: | Annals of the New York Academy of Sciences. 1375:3-18 |
ISSN: | 0077-8923 |
Popis: | Mobile technology has become a ubiquitous part of everyday life, and the practical utility of mobile devices for improving human health is only now being realized. Wireless medical sensors, or mobile biosensors, are one such technology that is allowing the accumulation of real-time biometric data that may hold valuable clues for treating even some of the most devastating human diseases. From wearable gadgets to sophisticated implantable medical devices, the information retrieved from mobile technology has the potential to revolutionize how clinical research is conducted and how disease therapies are delivered in the coming years. Encompassing the fields of science and engineering, analytics, health care, business, and government, this report explores the promise that wearable biosensors, along with integrated mobile apps, hold for improving the quality of patient care and clinical outcomes. The discussion focuses on groundbreaking device innovation, data optimization and validation, commercial platform integration, clinical implementation and regulation, and the broad societal implications of using mobile health technologies. |
Databáze: | OpenAIRE |
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