Software Applications in the Diagnosis of Chronic Diseases: A Systematic Review Across a 10-year Period

German Villavicencio Villanueva, Rolando Javier Berru Beltran, Romulo Rogery Vargas Garcia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The aim of this research was to present the approaches in the use of software applications in the diagnosis of chronic diseases in health centers through an analysis of the scientific literature of the last 10 years. The procedures of the PRISM methodology were used for the making of this paper. After an exhaustive search in scientific databases, 24 articles were selected, using as search criteria the previously mentioned period of time and terms such as 'software applications', 'diagnosis', 'chronic diseases' and other related terms. As a result, we obtained that there are various approaches in the use of software applications in the diagnosis of chronic diseases and these can be organized into three categories: support for medical professionals, optimization of resources used in diagnosis and training for new doctors or practitioners. Finally, we conclude that in recent years a large amount of research has been published on the use of software applications in the diagnosis of chronic diseases, which do not try to replace medical professionals, but rather seek to complement their work to make it more efficient and accurate.

Original languageEnglish
Title of host publicationProceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021
ISBN (Electronic)9781665444453
DOIs
StatePublished - 2021
Event2nd IEEE Engineering International Research Conference, EIRCON 2021 - Virtual, Lima, Peru
Duration: 27 Oct 202129 Oct 2021

Publication series

NameProceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021

Conference

Conference2nd IEEE Engineering International Research Conference, EIRCON 2021
Country/TerritoryPeru
CityVirtual, Lima
Period27/10/2129/10/21

Keywords

  • Diagnosis of chronic diseases
  • Health clinics
  • Software applications

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