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Authors: Alessio Bottrighi 1 ; Elisa Gandini 2 ; Stefano Nera 1 ; Luca Piovesan 1 ; Erica Raina 1 and Paolo Terenziani 1

Affiliations: 1 Department of Science and Technological Innovation University of Eastern Piedmont Alessandria, Italy ; 2 Fondazione Italiana Linfomi, Alessandria, Italy

Keyword(s): Intelligent Systems, Data Analysis and Visualization for Health, Analytical Intelligent Processing, Clinical Trials, Multi-Dimensional Conceptual Representation, Electronic Data Capture.

Abstract: We describe our experience in enhancing Electronic Data Capture systems with Business Intelligence facilities, to provide additional decision support facilities. In particular, with our framework, we support analytical intelligent reporting, visualization and querying to improve managerial control in trial conduct. In this paper, we discuss a principled methodology, in which the analytical intelligent extension is based on an explicit conceptual modelling of a multi-dimensional view of the clinical trials. While our approach is general, we have developed it in the context of long-term cooperation with the Italian Lymphoma Foundation (FIL), managing dozens of clinical trials distributed in many national (Italian) and international institutes.

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Paper citation in several formats:
Bottrighi, A.; Gandini, E.; Nera, S.; Piovesan, L.; Raina, E. and Terenziani, P. (2024). Business Intelligence Enhancements to EDC for Clinical Trial Management. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF; ISBN 978-989-758-688-0; ISSN 2184-4305, SciTePress, pages 537-544. DOI: 10.5220/0012396600003657

@conference{healthinf24,
author={Alessio Bottrighi. and Elisa Gandini. and Stefano Nera. and Luca Piovesan. and Erica Raina. and Paolo Terenziani.},
title={Business Intelligence Enhancements to EDC for Clinical Trial Management},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF},
year={2024},
pages={537-544},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012396600003657},
isbn={978-989-758-688-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF
TI - Business Intelligence Enhancements to EDC for Clinical Trial Management
SN - 978-989-758-688-0
IS - 2184-4305
AU - Bottrighi, A.
AU - Gandini, E.
AU - Nera, S.
AU - Piovesan, L.
AU - Raina, E.
AU - Terenziani, P.
PY - 2024
SP - 537
EP - 544
DO - 10.5220/0012396600003657
PB - SciTePress