Developing software IVO for clinical, laboratory, therapeutic and cost data collection for Sickle Cell Anemia

• Andréia Insabralde de Queiroz Cardoso

  Author

• Maria Lúcia Ivo

  Federal University of Mato Grosso do Sul

  Author

• Marcos Antonio Ferreira Júnior

  Federal University of Mato Grosso do Sul

  Author

• Luiz Fernando Delboni Lomba

  Institute of Education, Science and Technology of Mato Grosso do Sul

  Author

• Caroline Neris Ferreira Sarat

  Federal University of Mato Grosso do Sul

  Author

• Carolina Mariano Pompeo

  Federal University of Mato Grosso do Sul

  Author

• Mayk Penze Cardoso

  Federal University of Mato Grosso do Sul

  Author

• Maurício Duailibi Neto

  Institute of Education, Science and Technology of Mato Grosso do Sul

  Author

• Raphael Viana de Paula Leite

  Institute of Education, Science and Technology of Mato Grosso do Sul

  Author

• Jander Santos Souza

  Federal University of Mato Grosso do Sul

  Author

• Felipe Machado Mota

  Federal University of Mato Grosso do Sul

  Author

The challenge to improve the treatment of Sickle Cell Disease (SCD) is to plan for managers and health professionals, as well as to estimate the necessary costs. To this end, research should be developed to support the health area, with emphasis on the development of software that complements data collection. For these reasons, the objective of this study is to describe the development of software for the collection of cost information and clinical, laboratory and therapeutic data of patients with SCD, which can be used in the future by other areas of health. This is an experimental and applied research focused on technological production. The applied process model was incremental and followed the steps of communication, planning, modeling and development.  The first version is in the testing phase and presents the record format, does not require internet connection, can interact with Windows®, Linux® or MacOS® operating systems and encrypt data for storage. In the next increments, the customization of the fields with a broad structure for data collection; data export in spreadsheet format for use in external tools; creation of customized reports and central database stands out.

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Copyright (c) 2019 Andréia Insabralde de Queiroz Cardoso, Maria Lúcia Ivo, Marcos Antonio Ferreira Júnior, Luiz Fernando Delboni Lomba, Caroline Neris Ferreira Sarat, Carolina Mariano Pompeo, Mayk Penze Cardoso, Maurício Duailibi Neto, Raphael Viana de Paula Leite, Jander Santos Souza, Felipe Machado Mota

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