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HEARTFAID's eCRF: Lessons learnt from using a two-level data acquisition and storage system for knowledge discovery tasks within an electronic platform for managing heart failure patients

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Case report forms are important sources of medical knowledge in all clinical studies. Electronic versions of these forms have several advantages compared to traditional paper-based questionnaires, and they have been adopted in many contemporary research projects in medicine. This paper presents a framework for creating case report forms designed with a two-level approach. Data at the generic information model level is stored in EAV (entity-attribute-value) tables and extended by tables facilitating specification of the questionnaire layout. The second layer (knowledge model) specifies the domain specific concepts describing the field of application of the questionnaire. This framework has been applied and tested in the frame of an EU FP6 research project - HEARTFAID - the objective of which was to build a knowledge-based platform supporting the management of elderly patients suffering from heart failure. Data collected by the electronic case report form (eCRF) was used in the project's knowledge discovery and decision support tasks. The work presents a new way for effective extraction of the data necessary for the integration with the knowledge discovery process in a distributed, service oriented framework of the HEARTFAID platform. It is demonstrated that it is feasible to implement these tasks using the two-level EAV table design.
Rocznik
Strony
59--69
Opis fizyczny
Bibliogr. 27 poz., rys., tab., wykr.
Twórcy
  • Jagiellonian University Medical College, Kraków, Poland
  • Jagiellonian University Medical College, Kraków, Poland
autor
  • Jagiellonian University Medical College, Kraków, Poland
autor
  • Rudjer Boskovic Institute, Zagreb, Croatia
autor
  • Rudjer Boskovic Institute, Zagreb, Croatia
autor
  • Rudjer Boskovic Institute, Zagreb, Croatia
autor
  • Rudjer Boskovic Institute, Zagreb, Croatia
autor
  • University "Magna Graecia" of Catanzaro, Department of Experimental and Clinical Medicine, Italy
  • Department of Cardiology, S.Luca Hospital, Istituto Auxologico Italiano, Milano, Italy
  • Jagiellonian University Medical College, Kraków, Poland
autor
  • University of Milan - Bicocca, Department of Clinical Medicine and Prevention, Milan, Italy
  • Department of Cardiology, S.Luca Hospital, Istituto Auxologico Italiano, Milano, Italy
autor
  • University of Calabria, Department of Electronics, Informatics, Systems (DEIS), Italy
Bibliografia
  • 1. Breiman L., Random Forests, Machine Learning 45(1), pp. 5-32, 2001.
  • 2. Bird L., Goodchild A., Tun Z., Experiences with a Two-Level Modelling Approach to Electronic Health Records, Journal of Research and Practice in Information Technology, 35(2), pp. 121-138, 2003.
  • 3. Chiarugi F. et al., Support for the Medical-Clinical Management of Heart Failure within Elderly Population: the HEARTFAID Platform, Proc. of ITAB, Ioannina, Greece, 26-28 October 2006.
  • 4. Conforti D. et al., HEARTFAID: A Knowledge Based Platform for Supporting the Clinical Management of Elderly Patients with Heart Failure, The Journal on Information Technology in Healthcare, 4(5), pp. 283-300, 2006.
  • 5. Duftschmid G., Gall W., Eigenbauer E., Dorda W., Management of data from clinical trials using the ArchiMed system, Med. Inform. Internet, 27(2), pp. 85-98, 2002.
  • 6. Gamberger D., Prcela M., Jovic A., Smuc T, Parati G., Valentini M., Kawecka-Jaszcz K., Kononowicz A. A., Candelieri A., Conforti D., Guido R., Medical Knowledge Representation Within Heartfaid Platform, Healthinf, Funchal, Madeira - Portugal, 2008.
  • 7. Helms R. W., Entering Data from Remote Terminals in Clinical Centers using IBM's OS/TSO in the Kidney Transplant Histocompability Study, Technical Report 007, Chapel Hill, NC University of North Carolina, KTHS Statistics and Data Management Center, Department of Biostatistics, 1973.
  • 8. Helms R. W., Data Quality Issues in Electronic Data Capture, Drug Information Journal, 35, pp. 827-837, 2001.
  • 9. Johnson R., Hoeller J., Arendsen A., Risberg I, Sampaleanu C, Professional Java Development with the Spring Framework, John Wiley & Sons, 2005.
  • 10. Merzweiler A., Weber R., Garde S., Haux R., Knaup-Gregori P., TERMTrial - terminology-based documentation systems for cooperative clinical trials, Comput. Meth. Programs Biomed., 78, pp. 11-24, 2005.
  • 11. Michelsen L., Pedersen S. S., Tilma H. B., Andersen S. K., Comparing different approaches to two-level modelling of electronic health records., Stud. Health Technol. Inform., 6, pp. 113-118, 2005.
  • 12. Minter D., Linwood J., Hibernate From Novice to Professional, Apress, 3 edition, 2006.
  • 13. Nadkarni P., QAV: querying entity - attribute - value metadata in a biomedical database, Comput. Meth. Programs Biomed., 53, pp. 93-103,1997.
  • 14. Nadkarni P. et al., Organization of Heterogeneous Scientific Data Using the EAV/CR Representation, J. Am. Med. Inform. Assoc, 6(6), pp. 478-493,1999.
  • 15. Nadkarni P., Brandt C, Marenco L, WebEAV: Automatic Metada-driven Generation of Web Interfaces to Entity-Attribute-Value Databases, J. Am. Med. Inform. Assoc, 7(4), pp. 343-356, 2000.
  • 16. Prcela M., Gamberger D., Bogunovic N., Developing Factual Knowledge from Medical Data by Composing Ontology Structures, MIPRO 2007, Opatija, Croatia.
  • 17. Sonicki Z., Gamberger D., Smuc I, Sonicki D., Kern J., Data mining server: On-line knowledge induction tool, in: Proc. of Medical Informatics Europe, IOS press, pp. 330-334, 2002.
  • 18. Wyatt J. C, When to Use Web-based Surveys, J. Am. Med. Inform. Assoc, 7(4), pp. 426-430, 2000.
  • 19. HEARTFAID Consortium, D28 - Integration and Interoperability middleware prototype, 2008.
  • 20. Altova XMLSpy, http://www.altova.com/xml-editor/
  • 21. Form Handler, http://www.formhandler.net
  • 22. HL7, Health Level 7, http://www.hl7.org
  • 23. IHE, Integrating the Healthcare Enterprise, http://www.ihe.net
  • 24. Instant Survey, http://www.instantsurvey.com
  • 25. Mule, ESB http://www.mulesoft.org/display/COMMUNITY/Home
  • 26. Survey Monkey, http://www.surveymonkey.com
  • 27. Zoomerang, http://www.zoomerang.com
Uwagi
EN
Typ dokumentu
Bibliografia
Identyfikator YADDA
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