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ZotCare: a flexible, personalizable, and affordable mhealth service provider.
Labbaf, Sina; Abbasian, Mahyar; Azimi, Iman; Dutt, Nikil; Rahmani, Amir M.
Afiliación
  • Labbaf S; Department of Computer Science, University of California, Irvine, Irvine, CA, United States.
  • Abbasian M; Department of Computer Science, University of California, Irvine, Irvine, CA, United States.
  • Azimi I; Institute for Future Health, University of California, Irvine, Irvine, CA, United States.
  • Dutt N; Department of Computer Science, University of California, Irvine, Irvine, CA, United States.
  • Rahmani AM; Institute for Future Health, University of California, Irvine, Irvine, CA, United States.
Front Digit Health ; 5: 1253087, 2023.
Article en En | MEDLINE | ID: mdl-37781455
The proliferation of Internet-connected health devices and the widespread availability of mobile connectivity have resulted in a wealth of reliable digital health data and the potential for delivering just-in-time interventions. However, leveraging these opportunities for health research requires the development and deployment of mobile health (mHealth) applications, which present significant technical challenges for researchers. While existing mHealth solutions have made progress in addressing some of these challenges, they often fall short in terms of time-to-use, affordability, and flexibility for personalization and adaptation. ZotCare aims to address these limitations by offering ready-to-use and flexible services, providing researchers with an accessible, cost-effective, and adaptable solution for their mHealth studies. This article focuses on ZotCare's service orchestration and highlights its capabilities in creating a programmable environment for mHealth research. Additionally, we showcase several successful research use cases that have utilized ZotCare, both in the past and in ongoing projects. Furthermore, we provide resources and information for researchers who are considering ZotCare as their mHealth research solution.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Front Digit Health Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Front Digit Health Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos