Abstract
Italian Arthroplasty Registry (Registro Italiano ArtroProtesi, RIAP) is organized as a federation of regional registries, involved on voluntary basis, with the purpose of collecting data to monitor joint prostheses safety and quickly recall patients in case of adverse events. Data collection flows may differ among the participating regions, therefore data have to be properly integrated in a single omnicomprehensive data repository. The aim of this paper is to report on the application of the Ontology Based Data Management (OBDM) approach in order to integrate, standardize and prepare data for analyses and for extracting pieces of information from the different flows converging to RIAP. From the point of view of Data Management, one of the distinguishing features of OBDM is to provide well-founded methods for data quality assessment, which is crucial also for subsequent machine learning tasks. From the knowledge representation point of view, the ontology constitutes a fundamental asset for giving proper semantics to concepts, relationships and rules regarding the arthroplasty domain, as determined by the expertise of the stakeholders. Thus, the whole approach improves the RIAP capabilities of handling data, dealing with complex research questions in the healthcare domain and sharing information with the international community of Arthroplasty Registries. Finally, the availability of a SPARQL endpoint to connect the central relational database to the RIAP ontology paves the way for enabling RIAP to publish open data with proper semantics.
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Notes
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For example, the class of the implanted device according to the National Classification of Medical Devices (CND) [10];.
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This example is based on real Italian regions, whose actual names are omitted.
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The following ontology concepts: patient, hospitalization, diagnosis, procedure, arthroplasty and devices.
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A more detailed description of this process will be provided in the following section.
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In Sect. 1, it is presented as the triplet which links MDS and HDD data flows.
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The indicator measuring the ratio between the number of arthroplasties in the registry and the total number of arthroplasties in Italy.
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In some regions, the patient’s code is not a real pseudonym, but only a progressive.
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Acknowledgements
This work has been partially supported by MIUR under the PRIN 2017 project “HOPE” (prot. 2017MMJJRE) and under the PNRR project PE0000013-FAIR, by the EU under the H2020-EU.2.1.1 project TAILOR, grant id. 95221 and under the H2020-EU.2.1.1 project TAILOR, grant id. 952215; the Italian Implantable Prostheses Registry (RIPI), that includes the Italian Arthroplasty Registry (RIAP), is supported by the Medical Devices and Pharmaceutical Service General Directorate of the Italian Ministry of Health.
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Valentini, R., Carrani, E., Torre, M., Lenzerini, M. (2023). Ontology-Based Data Management in Healthcare: The Case of the Italian Arthroplasty Registry. In: Basili, R., Lembo, D., Limongelli, C., Orlandini, A. (eds) AIxIA 2023 – Advances in Artificial Intelligence. AIxIA 2023. Lecture Notes in Computer Science(), vol 14318. Springer, Cham. https://doi.org/10.1007/978-3-031-47546-7_7
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