Data Management in Medicine: The EPIweb Information System, a Case Study and Some Open Issues

  • Pierpaolo Vittorini
  • Ferdinando di Orio
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4254)


Data management in medicine usually takes place through the usage of heterogeneous and legacy systems. So far, these information systems were rarely reusable into other investigations and, expecially in multicenter studies, their development absorbed part of the given funding. To overcome these limitation, we developed the EPIweb system, i.e. a totally configurable web-based information system which helps the epidemiologists/public health practitioners to conduct their (distributed) researches by following a workflow made up of the selection of the remote centers, the creation of the questionnaires, the data entry, the statistical processing of the data, and the generation of the technical reports. The most important EPIweb features are shown in the paper by means of a recent investigation conducted with the system. Finally, we discuss some open issues regarding the improvement of the EPIweb system in the direction of scientific workflow management.


Data Entry Middle School Student Nutritional Habit Syndromic Surveillance System Remote Center 
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.


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  1. 1.
    Raghupathi, W., Tan, J.: Strategic IT applications in health care. Communications of the ACM 45, 56–61 (2002)CrossRefGoogle Scholar
  2. 2.
    Hauck, K., Smith, P.C., Goddard, M.: The Economics of Priority Setting for Health Care – A Literature Review. The World Bank (2003)Google Scholar
  3. 3.
    Eubank, S., Guclu, H., Kumar, A., Marathe, M., Srinivasan, A., Toroczkal, Z., Wang, N.: Modelling disease outbreaks in realistic urban social networks. Science 429, 180–184 (2004)Google Scholar
  4. 4.
    Capocaccia, R., Gatta, G., Roazzi, P., Carrani, E., Santaquilani, M., De Angelis, R., Tavilla, A.: The EUROCARE Working Group: The EUROCARE-3 database: methodology of data collection, standardisation, quality control and statistical analysis. Annals of Oncology 14, 14–27 (2003)CrossRefGoogle Scholar
  5. 5.
    Sosin, D.M.: Draft framework for evaluating syndromic surveillance systems. Journal of Urban Health 2(suppl. 1), 8–13 (2003)Google Scholar
  6. 6.
    Loonsk, J.: PHIN overview. In: 1st Annual PHIN Conference (2003)Google Scholar
  7. 7.
    OASIS: ebXML (2005), Available on-line,
  8. 8.
    Lombardo, J.S., Burkom, H., Pavlin, J.: ESSENCE II and the framework for evaluating syndromic surveillance systems. Morbidity and Mortality Weekly Report 53, 159–165 (2004)Google Scholar
  9. 9.
    Zelicoff, A., Brillman, J., Forslund, D.W., George, J.E., Zink, S., Koening, S.: The rapid syndrome validation project (RSVP). Sandia National Laboratories (2001)Google Scholar
  10. 10.
    Sanson, R.L., Morris, R.S., Stern, M.W.: EpiMAN-FMD: a decision support system for managing epidemics of vesicular disease. Revue scientifique et technique (International Office of Epizootics) 18, 593–605 (1999)Google Scholar
  11. 11.
    Silva, S., Gouveia-Oliveira, R., Maretzek, A., Carriço, J., Gudnason, T., Kristinsson, K.G., Ekdahl, K., Brito-Avô, A., Tomasz, A., Sanches, I.S., de Lencastre, H., Almeida, J.: EURISWEB – web-based epidemiological surveillance of antibiotic-resistant pneumococci in day care centers. BMC Medical Informatics and Decision Making 3 (2003)Google Scholar
  12. 12.
    Vittorini, P., Necozione, S., di Orio, F.: The information technology for the management of health care data: the EPIweb project. Epidemiologia e Prevenzione (in press, 2005)Google Scholar
  13. 13.
    Deshpande, Y., Hansen, S.: Web engineering: creating a discipline among disciplines. IEEE Multimedia 8, 82–87 (2001)CrossRefGoogle Scholar
  14. 14.
    Laurie, B., Laurie, P.: Apache: The Definitive Guide, 3rd edn. O’Reilly, Sebastopol (2002)Google Scholar
  15. 15.
    Sklar, D.: Learning PHP 5. O’Reilly, Sebastopol (2004)Google Scholar
  16. 16.
    DuBois, P.: MySQL, 2nd edn. Sams (2003)Google Scholar
  17. 17.
    Stata Corporation: Stata Base Reference Manual, 4 volumes. Stata Press (2003)Google Scholar
  18. 18.
    Lamport, L.: LATEX: A Document Preparation System. Addison Wesley, Reading (1994)Google Scholar
  19. 19.
    Mili, H., Mili, A., Yacoub, S., Addy, E.: Reuse Based Software Engineering: Techniques, Organizations, and Measurement. Wiley, Chichester (2002)Google Scholar
  20. 20.
    Hay, D.C.: Modeling business rules: the business constraint metamodel. The Data Administration Newsletter ( (2004)Google Scholar
  21. 21.
    Cesare, B., Vittorini, P., Sallusti, E., Bontempo, V., Graziani, M., Necozione, S., di Orio, F.: Le abitudini alimentari dei ragazzi di scuola media nel Comune di L’Aquila: risultati di uno studio descrittivo. In: IX Conferenza Nazionale di Sanità Pubblica (2005) (in Italian)Google Scholar
  22. 22.
    Dawson-Saunders, B., Trapp, R.G.: Appendix C: Flowcharts for relating reseach questions to statistical methods. In: Basic & Clinical Biostatistics. Appleton & Lange (1994)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Pierpaolo Vittorini
    • 1
  • Ferdinando di Orio
    • 1
  1. 1.Department of Internal Medicine and Public HealthUniversity of L’AquilaL’Aquila (AQ)Italy

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