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Identification of UIDPs for Developing Medical Apps

  • Viviana Yarel Rosales-Morales
  • Laura Nely Sánchez-Morales
  • Giner Alor-Hernández
  • José Luis Sánchez-Cervantes
  • Nicandro Cruz-Ramírez
  • Jorge Luis García-Alcaraz
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 865)

Abstract

User Interface Design Patterns (UIDPs) improve the interaction between the users and the applications through interfaces with a suitable navigability, intuitive and without restrictions in the size of the screen, to show the content. Nowadays UIDPs are very used in the development of new apps. For medical domain there are 2 types of apps: (1) apps focused on health professionals: control of appointments and files, medical encyclopedias, among others; and (2) apps focused on citizens in general: self-care of health, medical calculators, health service locators, among others. UIDPs are not considered and analyzed in the design and development process of medical apps. In this work, we carried out an analysis of UIDPS suitable for the development of medical apps, in order to identify the most used user graphical interfaces for this kind of applications. The aim of this work is to provide a guide that allows to developers incentive the use of best practices for future developments of medical apps. In conclusion, the use of best practices for the medical apps development will improve the interaction of users with the apps and it will increase the use of these apps since these are intended to make day-to-day easier of patients and their families.

Keywords

Development of mobile applications Medical apps M-Health User Interface Design Patterns (UIDPs) 

Notes

Acknowledgments

This work was supported by Tecnológico Nacional de México (TecNM) and sponsored by the National Council of Science and Technology (CONACyT) and the Secretarial of Public Education (SEP) through PRODEP (Programa para el desarrollo professional Docente).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Viviana Yarel Rosales-Morales
    • 1
  • Laura Nely Sánchez-Morales
    • 1
  • Giner Alor-Hernández
    • 1
  • José Luis Sánchez-Cervantes
    • 1
  • Nicandro Cruz-Ramírez
    • 2
  • Jorge Luis García-Alcaraz
    • 3
  1. 1.Tecnológico Nacional de México/I.T. OrizabaOrizaba, VeracruzMexico
  2. 2.Centro de Investigación en Inteligencia Artificial, Universidad VeracruzanaXalapa, VeracruzMexico
  3. 3.Departamento de Ingeniería Industrial, Universidad Autónoma de Ciudad JuárezCiudad Juárez, ChihuahuaMexico

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