Data Collection and Management of mHealth, Wearables, and Internet of Things in Digital Behavioral Health Interventions With the Awesome Data Acquisition Method (ADAM): Development of a Novel Informatics Architecture

The integration of health and activity data from various wearable devices into research studies presents technical and operational challenges. The Awesome Data Acquisition Method (ADAM) is a versatile, web-based system that was designed for integrating data from various sources and managing a large-...

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Bibliographic Details
Published in:	JMIR mHealth and uHealth 2024-08, Vol.12, p.e50043-e50043
Main Authors:	Pulantara, I Wayan, Wang, Yuhan, Burke, Lora E, Sereika, Susan M, Bizhanova, Zhadyra, Kariuki, Jacob K, Cheng, Jessica, Beatrice, Britney, Loar, India, Cedillo, Maribel, Conroy, Molly B, Parmanto, Bambang
Format:	Article
Language:	English
Subjects:	Adult Behavior Therapy - instrumentation Behavior Therapy - methods COVID-19 - epidemiology Data collection Data Collection - instrumentation Data Collection - methods Design eHealth Infrastructures Exercise Female Humans Innovations in Clinical Trials and Research Data Management Internet of Things Intervention Male mHealth for Data Collection and Research Mobile Applications - standards Mobile Applications - statistics & numerical data Mobile Applications - trends Physical fitness Questionnaires Real time Smartphones Software Surveys and Questionnaires Telemedicine Third party Tools, Programs and Algorithms User needs Viewpoint Wearable computers Wearable Devices and Sensors Wearable Electronic Devices - standards Wearable Electronic Devices - statistics & numerical data Wearables and MHealth Viewpoints
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