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The association between chronic hepatitis B, chronic hepatitis C, sustained liver damage, and features of increased cardiovascular risk

100%

Czepiel J. , Rajzer M. , Bilo G. , Parati G. , Biesiada G. , Cibor D. , Pitera E. , Wolkow P. , Michalak M. , Garlicki A.

Folia Biologica

2021

tom 69

nr 1

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

80%

Kononowicz A. A. , Styczkiewicz K. , Bacior B. , Bošnjak M. , Horvat R. , Prcela M. , Gamberger D. , Sciacqua A. , Valentini M. C. , Kawecka-Jaszcz K. , Parati G. , Conforti D.

Bio-Algorithms and Med-Systems

2009

tom Vol. 5, no. 10

59--69

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.