Citas bibligráficas
Fernández, G., Guevara, M. (2021). Optimización del proceso de reserva de citas médicas a través de la geolocalización en Policlínicos de Lima [Trabajo de investigación, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/656084
Fernández, G., Guevara, M. Optimización del proceso de reserva de citas médicas a través de la geolocalización en Policlínicos de Lima [Trabajo de investigación]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2021. http://hdl.handle.net/10757/656084
@misc{renati/395608,
title = "Optimización del proceso de reserva de citas médicas a través de la geolocalización en Policlínicos de Lima",
author = "Guevara Guillén, Milagros Sofía",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2021"
}
Despite having a high rate of patients, public and private health centers in Peru present minimal digitization due to the low investment in systems or applications that help to organize and update the information of patients who wish to receive medical care. As a consequence, there is a poor medical appointment reservation process that lacks quality and long times for the care of people. In this context, there are several case studies on standardized applications and systems that have managed to optimize and reduce times in the reservation process and outpatient medical care. Therefore, the objective of this article is to explain our research that develops a mobile application with geolocation that allows the search for different polyclinics and reservation of outpatient medical appointments; and a web application for polyclinics that do not have an online appointment reservation system. The technological solution in general was validated both by seven polyclinics and by real patients. As a result of this validation, it was obtained that once the technological solution was implemented, there would be an improvement and satisfaction of 40% in the process of the reservation system for outpatient medical consultations in polyclinics and 35% in patients.
Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons