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Practices for the development of applications (Apps) that contribute to the generation of data banks for use in Health
Author(s) -
Carlos ORTEGA-LAUREL,
Francisco Pérez-Martínez,
Víctor Amaury SIMENTAL-FRANCO,
Guillermo LÓPEZ-MALDONADO
Publication year - 2022
Publication title -
revista de sistemas computacionales y tic's
Language(s) - English
Resource type - Journals
ISSN - 2444-5002
DOI - 10.35429/jcsi.2022.21.8.1.10
Subject(s) - data collection , data science , population , computer science , public relations , knowledge management , business , internet privacy , medicine , political science , environmental health , sociology , social science
Nowadays it is perceived necessary that, for the deep understanding, prevention and solution of health problems, the generation and collection of data, regarding their health, of the population in general, and those of the study in specific. Such that such data eventually facilitate decision-making, based on quantitative and qualitative information, to local, regional and / or global health organizations. At the same time, information and communication technologies, and computing, through technologies such as smartphones and applications, present opportunities to facilitate the generation and collection of data, of a diverse nature, except for those concerning health, to be useful for addressing and solving problems related to health, such as social, economic, cultural and health issues. Under these premises, we propose, and consider, the good practices for the development of applications (Apps), based on the experience documented in the literature, and our own, in the development of applications, such that these experiences enable the generation and data collection related to health, such that, by following them in app development projects, it becomes possible to have data in a standardized way, so that in the future they are analyzed and transformed into useful, accessible and understandable information for the benefit of the health of human beings. This is because local, state, federal and global organizations, such as the World Health Organization, seek to have data on diseases, such as, to name a few examples: non-communicable (chronic) Diseases (CNCDs) and Mental Health (NMH) or others.

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