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Urgent and Emergency Care: An Academic Application System Case Study

  • Daniela America da Silva
  • Fabio Kfouri
  • Samara Cardoso dos Santos
  • Luiz Henrique Coura
  • Wilson Cristoni
  • Gildarcio Sousa Goncalves
  • Leonardo Guimaraes dos Santos
  • Jose Crisostomo Ozorio Junior
  • Breslei Max Reis da Fonseca
  • Jean Carlos Lourenco Costa
  • Juliana Pasquini
  • Alexandre Nascimento
  • Johnny Marques
  • Luiz Alberto Vieira Dias
  • Adilson Marques da Cunha
  • Paulo Marcelo Tasinaffo
  • Beatriz Perondi
  • Anna Miethke-Morais
  • Amanda Cardoso Montal
  • Solange Regina Giglioli Fusco
  • Thiago Sakamoto
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 800)

Abstract

During the 1st Semester of 2018, at the Brazilian Aeronautics Institute of Technology (Instituto Tecnologico de Aeronautica – ITA), a successful Collaborative Interdisciplinary Problem-Based Learning (Co-IPBL) experience took place. At that time, more than 20 undergrad and graduate students from 3 different courses within just 17 academic weeks had the opportunity of conceptualizing, modeling, developing, and testing a Computer System based upon Big Data, Blockchain Hyperledger, Micro-services, and other emerging technologies for government and private organizations. This Co-IPBL was performed with the participation of a medical technical team from the Hospital of Clinics at the Faculty of Medicine of the University of Sao Paulo focusing in Urgency and Emergency Care. This research work was stored in a Google site and implemented as a Proof of Concept (PoC), by using emerging technologies such as the Blockchain Hyperledger. It represents one example of how to address the old problem of teaching, learning, designing, and implementing complex intelligent systems to solve health care problems, by collaboratively working with medical technical teams facing real problems of Urgency and Emergency Health Care.

Keywords

Health care system Agile method and testing Value engineering Business model canvas Collaborative problem-based learning 

Notes

Acknowledgements

The authors would like to thank: Hospital of Clinics from the Faculty of Medicine at The University of Sao Paulo; Brazilian Aeronautics Institute of Technology; Ecossistema Negocios Digitais Ltda; and Casimiro Montenegro Filho Foundation (FCMF), for their general and finantial support, during the development of this TSA4MOHIBD Project.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Daniela America da Silva
    • 1
  • Fabio Kfouri
    • 1
  • Samara Cardoso dos Santos
    • 1
  • Luiz Henrique Coura
    • 1
  • Wilson Cristoni
    • 1
  • Gildarcio Sousa Goncalves
    • 1
  • Leonardo Guimaraes dos Santos
    • 1
  • Jose Crisostomo Ozorio Junior
    • 1
  • Breslei Max Reis da Fonseca
    • 1
  • Jean Carlos Lourenco Costa
    • 1
  • Juliana Pasquini
    • 1
  • Alexandre Nascimento
    • 1
  • Johnny Marques
    • 1
  • Luiz Alberto Vieira Dias
    • 1
  • Adilson Marques da Cunha
    • 1
  • Paulo Marcelo Tasinaffo
    • 1
  • Beatriz Perondi
    • 2
  • Anna Miethke-Morais
    • 2
  • Amanda Cardoso Montal
    • 2
  • Solange Regina Giglioli Fusco
    • 2
  • Thiago Sakamoto
    • 2
  1. 1.Brazilian Aeronautics Institute of TechnologySao Jose dos CamposBrazil
  2. 2.Hospital of Clinics at the Faculty of MedicineUniversity of Sao PauloSao Jose dos CamposBrazil

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