Exploring clinical documents through advanced semantic analysis techniques

This paper aims at providing a formal structuring of paper-based clinical records through semantic annotation procedures. In particular, the approach adopted in this explorative study has been based on document management methodologies aiming at exploiting the texts from clinical documents through advanced document analysis, information extraction and modeling techniques, supported by language processing methods, which contribute to creating a comprehensive knowledge repository. The result will be a systematic organization of the most common categories proper to clinical records texts in Italian language that could be used as a replication model for several health system spheres, with the perspective of providing a conceptual representation of the patients’ clinical history by time.