Skip to main navigation Skip to search Skip to main content

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

  • Universidad Peruana de Ciencias Aplicadas

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

Abstract

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.

Original languageEnglish
Title of host publicationAdvanced Research in Technologies, Information, Innovation and Sustainability - 3rd International Conference, ARTIIS 2023, Proceedings
EditorsTeresa Guarda, Filipe Portela, Jose Maria Diaz-Nafria
PublisherSpringer Science and Business Media Deutschland GmbH
Pages182-192
Number of pages11
ISBN (Print)9783031488573
DOIs
StatePublished - 2024
Event3rd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2023 - Madrid, Spain
Duration: 18 Oct 202320 Oct 2023

Publication series

NameCommunications in Computer and Information Science
Volume1935 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference3rd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2023
Country/TerritorySpain
CityMadrid
Period18/10/2320/10/23

Keywords

  • Appointment scheduling
  • medical appointment
  • Outpatient waiting time

Fingerprint

Dive into the research topics of 'Technological Solution to Optimize Outpatient Waiting Time for Medical Care Between Multiple Private Healthcare Institutions – A Preliminary Research'. Together they form a unique fingerprint.

Cite this