Indexing and Retrieval of Medical Resources for a Telemedical Platform

  • Bartosz Kukawka
  • Szymon Wilk
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7339)

Abstract

In this paper we present an indexing and retrieval service for a telemedical platform. While the service has been deployed in the Wielkopolska Center of Telemedicine (WCT) – a platform to facilitate teleconsultations and education in the field of traumatology, it is general enough to be used in other settings. The service is composed of loosely coupled modules and implemented with open source frameworks and systems (e.g., Heritrix, MetaMap and Lucence). It automatically extracts medical resources from selected web-based repositories, indexes them using MeSH terms and finally retrieves resources relevant in the current context (e.g., the currently consulted case) without a need to formulate a query by the user. We also report results of a computational experiment conducted to help make specific implementation decisions for selected modules of the described service.

Keywords

Medical Resource Query Expansion Mean Average Precision Implementation Decision XPath Expression 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Binczewski, A., Kurowski, K., Mazurek, C., Stroiński, M.: A concept of a patient-centered healthcare system based on the virtualized networking and information infrastructure. In: eTELEMED 2011: The 3rd International Conference on eHealth, Telemedicine, and Social Medicine, pp. 51–58 (2011)Google Scholar
  2. 2.
    Sackett, D., Rosenberg, W., Gray, J., Haynes, R., Richardson, W.: Evidence based medicine: what it is and what it isn’t. British Medical Journal 312(7023), 71–72 (1996)PubMedCrossRefGoogle Scholar
  3. 3.
    Westbrook, J., Coiera, E., Gosling, A.: Do online information retrieval systems help experienced clinicians answer clinical questions? Journal of the American Medical Informatics Association 12(3), 315–321 (2005)PubMedCrossRefGoogle Scholar
  4. 4.
    Aronson, A., Lang, F.: An overview of MetaMap: historical perspective and recent advances. Journal of the American Medical Informatics Association 17(3), 229–236 (2010)PubMedGoogle Scholar
  5. 5.
    Lu, Z., Kim, W., Wilbur, W.: Evaluation of query expansion using MeSH in PubMed. Information Retrieval 12(1), 69–80 (2009)PubMedCrossRefGoogle Scholar
  6. 6.
    Mao, W., Chu, W.: Free-text medical document retrieval via phrase-based vector space model. In: AMIA Annual Symposium Proceedings, pp. 489–493 (2002)Google Scholar
  7. 7.
    hERSH, W., Buckley, C., Leone, T., Hickam, D.: OHSUMED: an interactive retrieval evaluation and new large test collection for research. In: Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, vol. 201. Springer-Verlag New York, Inc. (1994)Google Scholar
  8. 8.
    Aronson, A., Mork, J., Gay, C., Humphrey, S., Rogers, W.: The NLM indexing initiative’s Medical Text Indexer. In: Medinfo 2004: Proceedings of the 11th World Congress on Medical Informatics, pp. 268–272. IOS Pr. Inc. (2004)Google Scholar
  9. 9.
    Robertson, S., Hull, D.: The TREC-9 filtering track final report, pp. 25–40. NIST Special Publication (2001)Google Scholar
  10. 10.
    Turpin, A., Scholer, F.: User performance versus precision measures for simple search tasks. In: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, vol. 18. ACM (2006)Google Scholar
  11. 11.
    Cimino, J.: An integrated approach to computer-based decision support at the point of care. Transaction of the American Clinical and Climatological Association 118(273–288) (2007)Google Scholar
  12. 12.
    Abidi, S., Kershaw, M., Milios, E.: Bird: a strategy to autonomously supplement clinical practice guidelines with related clinical studies. In: Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS 2005), vol. 141b (2005)Google Scholar
  13. 13.
    O’Sullivan, D., Wilk, S., Michalowski, W., Farion, K.: Automatic indexing and retrieval of encounter-specific evidence for point-of-care support. Journal of Biomedical Informatics (43), 623–631 (2010)Google Scholar
  14. 14.
    Knoblock, C., Lerman, K., Mniton, S., Muslea, I.: Accurately and reliably extracting data from the Web: a machine learning approach. In: Intelligent Exploration of the Web, pp. 275–287 (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Bartosz Kukawka
    • 1
  • Szymon Wilk
    • 1
  1. 1.Poznań University of TechnologyPoznańPoland

Personalised recommendations