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Ontology-Driven Real World Evidence Extraction from Clinical Narratives
L. Chiudinelli, M. Gabetta, G. Centorrino, N. Viani, C. Tasca, A. Zambelli, M. Bucalo, A. Ghirardi, N. Barbarini, E. Sfreddo, C. Tondini, R. Bellazzi, L. Sacchi
1441 - 1442
10.3233/SHTI190474
Research Article
Studies in Health Technology and Informatics
Volume 264: MEDINFO 2019: Health and Wellbeing e-Networks for All
Abstract

Unstructured clinical notes contain a huge amount of information. We investigated the possibility of harvesting such information through an NLP-based approach. A manually curated ontology is the only resource required to handle all the steps of the process leading from clinical narrative to a structured data warehouse (i2b2). We have tested our approach at the Papa Giovanni XXIII hospital in Bergamo (Italy) on pathology reports collected since 2008.

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