Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges.

Autor:	Deniz-Garcia A; Endocrinology and Nutrition Department, Complejo Hospitalario Universitario Insular Materno Infantil, Las Palmas de Gran Canaria, Spain., Fabelo H; Complejo Hospitalario Universitario Insular - Materno Infantil, Fundación Canaria Instituto de Investigación Sanitaria de Canarias, Las Palmas de Gran Canaria, Spain.; Research Institute for Applied Microelectronics, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain., Rodriguez-Almeida AJ; Research Institute for Applied Microelectronics, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain., Zamora-Zamorano G; Endocrinology and Nutrition Department, Complejo Hospitalario Universitario Insular Materno Infantil, Las Palmas de Gran Canaria, Spain.; Instituto Universitario de Investigaciones Biomédicas y Sanitarias, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain., Castro-Fernandez M; Research Institute for Applied Microelectronics, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain., Alberiche Ruano MDP; Endocrinology and Nutrition Department, Complejo Hospitalario Universitario Insular Materno Infantil, Las Palmas de Gran Canaria, Spain.; Instituto Universitario de Investigaciones Biomédicas y Sanitarias, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain., Solvoll T; Norwegian Centre for E-health Research, University Hospital of North-Norway, Tromsø, Norway.; Faculty of Nursing and Health Sciences, Nord University, Bodø, Norway., Granja C; Norwegian Centre for E-health Research, University Hospital of North-Norway, Tromsø, Norway.; Faculty of Nursing and Health Sciences, Nord University, Bodø, Norway., Schopf TR; Norwegian Centre for E-health Research, University Hospital of North-Norway, Tromsø, Norway., Callico GM; Research Institute for Applied Microelectronics, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain., Soguero-Ruiz C; Departamento de Teoría de la Señal y Comunicaciones y Sistemas Telemáticos y Computación, Universidad Rey Juan Carlos, Madrid, Spain., Wägner AM; Endocrinology and Nutrition Department, Complejo Hospitalario Universitario Insular Materno Infantil, Las Palmas de Gran Canaria, Spain.; Instituto Universitario de Investigaciones Biomédicas y Sanitarias, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
Jazyk:	angličtina
Zdroj:	Journal of medical Internet research [J Med Internet Res] 2023 May 04; Vol. 25, pp. e44030. Date of Electronic Publication: 2023 May 04.
DOI:	10.2196/44030
Abstrakt:	The use of artificial intelligence (AI) and big data in medicine has increased in recent years. Indeed, the use of AI in mobile health (mHealth) apps could considerably assist both individuals and health care professionals in the prevention and management of chronic diseases, in a person-centered manner. Nonetheless, there are several challenges that must be overcome to provide high-quality, usable, and effective mHealth apps. Here, we review the rationale and guidelines for the implementation of mHealth apps and the challenges regarding quality, usability, and user engagement and behavior change, with a special focus on the prevention and management of noncommunicable diseases. We suggest that a cocreation-based framework is the best method to address these challenges. Finally, we describe the current and future roles of AI in improving personalized medicine and provide recommendations for developing AI-based mHealth apps. We conclude that the implementation of AI and mHealth apps for routine clinical practice and remote health care will not be feasible until we overcome the main challenges regarding data privacy and security, quality assessment, and the reproducibility and uncertainty of AI results. Moreover, there is a lack of both standardized methods to measure the clinical outcomes of mHealth apps and techniques to encourage user engagement and behavior changes in the long term. We expect that in the near future, these obstacles will be overcome and that the ongoing European project, Watching the risk factors (WARIFA), will provide considerable advances in the implementation of AI-based mHealth apps for disease prevention and health promotion. (©Alejandro Deniz-Garcia, Himar Fabelo, Antonio J Rodriguez-Almeida, Garlene Zamora-Zamorano, Maria Castro-Fernandez, Maria del Pino Alberiche Ruano, Terje Solvoll, Conceição Granja, Thomas Roger Schopf, Gustavo M Callico, Cristina Soguero-Ruiz, Ana M Wägner, WARIFA Consortium. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 04.05.2023.)
Databáze:	MEDLINE
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