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Digital phenotyping is a multidisciplinary field of science, [1] [2] [3] first defined in a May 2016 paper in JMIR Mental Health authored by John Torous, Mathew V Kiang, Jeanette Lorme, and Jukka-Pekka Onnela as the "moment-by-moment quantification of the individual-level human phenotype in situ using data from personal digital devices."
HRHIS is a human resource for health information system for management of human resources for health developed by University of Dar es Salaam college of information and communication technology, Department of Computer Science and Engineering, for Ministry of Health and Social Welfare (Tanzania) and funded by the Japan International Cooperation ...
Artificial intelligence in healthcare is the application of artificial intelligence (AI) to analyze and understand complex medical and healthcare data. In some cases, it can exceed or augment human capabilities by providing better or faster ways to diagnose, treat, or prevent disease.
This includes sensor-based solutions such as biosensors, wearables, connected health devices, and mobile apps to track customer behavior. This can lead to more accurate underwriting and new pricing models. [70] The application of the IoT in healthcare plays a fundamental role in managing chronic diseases and in disease prevention and control ...
Sensors is a monthly peer-reviewed, open access, scientific journal that is published by MDPI. It was established in June 2001. The editors-in-chief are Vittorio M.N. Passaro, Assefa M. Melesse, Alexander Star, Eduard Llobet, Guillermo Villanueva and Davide Brunelli. [1] Sensors covers research on all aspects of sensors and biosensors. [2]
Health systems science (HSS) is a foundational platform and framework for the study and understanding of how care is delivered, how health professionals work together to deliver that care, and how the health system can improve patient care and health care delivery. [1]
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The Veterans Health Administration (VHA), United States' largest integrated healthcare system, is an early adopter which became highly involved in the implementation and evaluation of RPM technologies. It has expanded use of RPM beyond common chronic disease applications, to post-traumatic stress disorder, cancer and palliative care.