Advertisement

Waiting Time Screening in Diagnostic Medical Imaging – A Case-Based View

  • Marisa Esteves
  • Henrique Vicente
  • Sabino Gomes
  • António Abelha
  • M. Filipe Santos
  • José Machado
  • João Neves
  • José NevesEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9714)

Abstract

Due to the high standards expected from diagnostic medical imaging, the analysis of information regarding waiting lists via different information systems is of utmost importance. Such analysis, on the one hand, may improve the diagnostic quality and, on the other hand, may lead to the reduction of waiting times, with the concomitant increase of the quality of services and the reduction of the inherent financial costs. Hence, the purpose of this study is to assess the waiting time in the delivery of diagnostic medical imaging services, like computed tomography and magnetic resonance imaging. Thereby, this work is focused on the development of a decision support system to assess waiting times in diagnostic medical imaging with recourse to operational data of selected attributes extracted from distinct information systems. The computational framework is built on top of a Logic Programming Case-base Reasoning approach to Knowledge Representation and Reasoning that caters for the handling of incomplete, unknown, or even self-contradictory information.

Keywords

Waiting time Diagnostic medical imaging Knowledge representation and reasoning Logic programming Case-based reasoning Similarity analysis 

Notes

Acknowledgments

This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.

References

  1. 1.
    Nuti, S., Vainieri, M.: Managing waiting times in diagnostic medical imaging. BMJ Open 2, e001255 (2012)CrossRefGoogle Scholar
  2. 2.
    McEnery, K.W.: Radiology information systems and electronic medical records. In: IT Reference Guide for the Practicing Radiologist, American College of Radiology, USA, pp. 1–14 (2013)Google Scholar
  3. 3.
    Fotiadou, A.: Choosing and visualizing waiting time indicators in diagnostic medical imaging department for different purposes and audiences. Master’s thesis in Health Informatics, Karolinska Institutet, Sweden (2013)Google Scholar
  4. 4.
    Aamodt, A., Plaza, E.: Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Commun. 7, 39–59 (1994)Google Scholar
  5. 5.
    Richter, M.M., Weber, R.O.: Case-Based Reasoning: A Textbook. Springer, Berlin (2013)CrossRefGoogle Scholar
  6. 6.
    Balke, T., Novais, P., Andrade, F., Eymann, T.: From real-world regulations to concrete norms for software agents – a case-based reasoning approach. In: Poblet, M., Schild, U., Zeleznikow, J. (eds.) Proceedings of the Workshop on Legal and Negotiation Decision Support Systems (LDSS 2009), pp. 13–28. Huygens Editorial, Barcelona (2009)Google Scholar
  7. 7.
    Denecker, M., Kakas, A.C.: Abduction in logic programming. In: Kakas, A.C., Sadri, F. (eds.) Computational Logic: Logic Programming and Beyond: Essays in Honour of Robert A. Kowalski. LNCS (LNAI), vol. 2407, pp. 402–436. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  8. 8.
    Pereira, L.M., Anh, H.T.: Evolution prospection. In: Nakamatsu, K., Phillips-Wren, G., Jain, L.C., Howlett, R.J. (eds.) New Advances in Intelligent Decision Technologies: Results of the First KES International Symposium IDT 2009. SCI, vol. 199, pp. 51–63. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  9. 9.
    Neves, J.: A logic interpreter to handle time and negation in logic databases. In: Muller, R., Pottmyer, J. (eds.) Proceedings of the 1984 Annual Conference of the ACM on the 5th Generation Challenge, pp. 50–54. Association for Computing Machinery, New York (1984)Google Scholar
  10. 10.
    Neves, J., Machado, J., Analide, C., Abelha, A., Brito, L.: The halt condition in genetic programming. In: Neves, J., Santos, M.F., Machado, J.M. (eds.) EPIA 2007. LNCS (LNAI), vol. 4874, pp. 160–169. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  11. 11.
    Machado, J., Abelha, A., Novais, P., Neves, J., Neves, J.: Quality of service in healthcare units. In: Bertelle, C., Ayesh, A. (eds.) Proceedings of the ESM 2008, pp. 291–298. Eurosis – ETI Publication, Ghent (2008)Google Scholar
  12. 12.
    Lucas, P.: Quality checking of medical guidelines through logical abduction. In: Coenen, F., Preece, A., Mackintosh, A. (eds.) Proceedings of AI-2003 (Research and Developments in Intelligent Systems XX), pp. 309–321. Springer, London (2003)Google Scholar
  13. 13.
    Fernandes, F., Vicente, H., Abelha, A., Machado, J., Novais, P., Neves, J.: Artificial neural networks in diabetes control. In: Proceedings of the 2015 Science and Information Conference (SAI 2015), pp. 362–370, IEEE Edition (2015)Google Scholar
  14. 14.
    O’Neil, P., O’Neil, B., Chen, X.: Star Schema Benchmark. Revision 3, 5 June 2009. http://www.cs.umb.edu/~poneil/StarSchemaB.pdf
  15. 15.
    Neves, J., Vicente, H.: Quantum Approach to Case-Based Reasoning (In preparation)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Marisa Esteves
    • 1
  • Henrique Vicente
    • 2
    • 3
  • Sabino Gomes
    • 1
  • António Abelha
    • 3
  • M. Filipe Santos
    • 4
  • José Machado
    • 3
  • João Neves
    • 5
  • José Neves
    • 3
    Email author
  1. 1.Departamento de InformáticaUniversidade do MinhoBragaPortugal
  2. 2.Departamento de Química, Escola de Ciências e TecnologiaUniversidade de ÉvoraÉvoraPortugal
  3. 3.Centro AlgoritmiUniversidade do MinhoBragaPortugal
  4. 4.Centro AlgoritmiUniversidade do MinhoGuimarãesPortugal
  5. 5.Drs. Nicolas & AspDubaiUnited Arab Emirates

Personalised recommendations