Technological Solution to Optimize Outpatient Waiting Time for Medical Care Between Multiple Private Healthcare Institutions – A Preliminary Research

Cesar Castro-Velásquez, Wendy Barrera-Barrera, Daniel Burga-Durango, Jimmy Armas-Aguirre

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This article proposes a technological solution that allows optimizing the outpatient waiting time for medical care among private health care providers using React Native as a multiplatform tool, since it facilitates the creation of user interfaces efficiently and has one of the most significant numbers of contributors for any repository on GitHub, and the use of Microsoft Azure as a cloud platform due to the fact that it provides the security, privacy and integrity requirements demanded by the Peruvian Ministry of Health (MINSA). This proposal allows users to schedule their medical appointments in a private health institution according to their needs through the following phases: 1) Capture and storage of personal data, 2) Capture of search parameters, and 3) Scheduling of medical appointments. The preliminary case study of the proposal was carried out by collecting a sample of 60 patients, aged between 17 and 65 years of both sexes, who booked medical appointments in an outpatient specialty. The results were compared with the data collected in the SUSALUD user satisfaction survey and with our own survey conducted prior to the solution's implementation. This study effectively optimized medical care waiting time by 54.5%. However, this article contains the preliminary phase of this research. Therefore, it should be considered for future research and address upcoming studies in this critical area.

Idioma originalInglés
Título de la publicación alojadaAdvanced Research in Technologies, Information, Innovation and Sustainability - 3rd International Conference, ARTIIS 2023, Proceedings
EditoresTeresa Guarda, Filipe Portela, Jose Maria Diaz-Nafria
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas182-192
Número de páginas11
ISBN (versión impresa)9783031488573
DOI
EstadoPublicada - 2024
Evento3rd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2023 - Madrid, Espana
Duración: 18 oct. 202320 oct. 2023

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen1935 CCIS
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937

Conferencia

Conferencia3rd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2023
País/TerritorioEspana
CiudadMadrid
Período18/10/2320/10/23

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