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International Conference on Computational Science and Its Applications

ICCSA 2013: Computational Science and Its Applications – ICCSA 2013 pp 214–229Cite as

Systematic Mapping of Architectures for Telemedicine Systems

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7973))

Abstract

The use of telemedicine systems is becoming increasingly common these days. Telemedicine systems exist for the purposes of education, improving the accuracy of medical diagnoses through the provision of a second opinion, and remote patient monitoring. Accordingly, the number of software solutions is increasing. Software Architecture is a subarea of Software Engineering whose goal is to study the system components, their external properties, and their relationships with other software. A good architecture can allow a system meets the mainly requirements of a project, such as performance, reliability, portability, easy maintenance, interoperability, etc. Aiming to find out what architectural styles that proposes a better performance in systems for telemedicine, a systematic mapping was done. With this mapping, it was possible to find taxonomies related to telemedicine systems, architectural styles commonly used in these systems and technologies relevant to the area.

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Author information

Authors and Affiliations

  1. Informatics Center, UFPB, João Pessoa, Brazil

    Glauco de Sousa e Silva, Ana Paula Nunes Guimarães, Hugo Neves de Oliveira, Tatiana Aires Tavares & Eudisley Gomes dos Anjos

  2. CISUC – Centre for Informatics and Systems, Universidade de Coimbra, Portugal

    Eudisley Gomes dos Anjos

Authors
  1. Glauco de Sousa e Silva
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  2. Ana Paula Nunes Guimarães
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  3. Hugo Neves de Oliveira
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  4. Tatiana Aires Tavares
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  5. Eudisley Gomes dos Anjos
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Editor information

Editors and Affiliations

  1. L-I.S.U.T. - D.A.P.I.t. Facoltà Ingegneria, Università degli Studi della Basilicata, Viale dell’Ateneo Lucano, 10, 85100, Potenza, Italy

    Beniamino Murgante

  2. Covenant University, Canaanland, Ota, Nigeria

    Sanjay Misra

  3. Partimento di Scienze e Tecnologie per LAgricoltura, le Foreste, la Natura e lEnergia, Università degli Studi della Tuscia, Via S. Camillo de Lellis, snc, 01100, Viterbo, Italy

    Maurizio Carlini

  4. Dipartimento di Scienze dell’Ingegneria Civile e dell’Architecttura, Politecnico di Bari, Via Orabona, 4, 70125, Bari, Italy

    Carmelo M. Torre

  5. International University VNU-HCM, Quarter 6, Linh Trung, Thu Duc, Ho Chi Minh City, Vietnam

    Hong-Quang Nguyen

  6. School of Business Systems, Monash University, 3800, Clayton, VIC, Australia

    David Taniar

  7. Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, Higashi-ku, 813-8503, Fukuoka, Japan

    Bernady O. Apduhan

  8. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

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de Sousa e Silva, G., Guimarães, A.P.N., de Oliveira, H.N., Tavares, T.A., dos Anjos, E.G. (2013). Systematic Mapping of Architectures for Telemedicine Systems. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2013. ICCSA 2013. Lecture Notes in Computer Science, vol 7973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39646-5_16

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  • DOI: https://doi.org/10.1007/978-3-642-39646-5_16

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  • Online ISBN: 978-3-642-39646-5

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