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Yearb Med Inform 2014; 23(01): 167-169
DOI: 10.15265/IY-2014-0037
Original Article
Georg Thieme Verlag KG Stuttgart

Managing Free Text for Secondary Use of Health Data

Findings from the Yearbook 2014 Section on Knowledge Representation and Management
N. Griffon
1   CISMeF, Rouen University Hospital, Normandy & TIBS, LITIS EA 4108, Institute for Research and Innovation in Biomedicine, Rouen, France
2   INSERM, U1142, LIMICS, Paris, France; Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1142, LIMICS, Paris, France; Université Paris 13, Sorbonne Paris Cité, LIMICS, (UMR_S 1142), Villetaneuse, France
,
J. Charlet
2   INSERM, U1142, LIMICS, Paris, France; Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1142, LIMICS, Paris, France; Université Paris 13, Sorbonne Paris Cité, LIMICS, (UMR_S 1142), Villetaneuse, France
3   AP-HP, Dept. of Clinical Research and Development, Paris, France
,
S. J. Darmoni
1   CISMeF, Rouen University Hospital, Normandy & TIBS, LITIS EA 4108, Institute for Research and Innovation in Biomedicine, Rouen, France
2   INSERM, U1142, LIMICS, Paris, France; Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1142, LIMICS, Paris, France; Université Paris 13, Sorbonne Paris Cité, LIMICS, (UMR_S 1142), Villetaneuse, France
,
Section Editors for the IMIA Yearbook Section on Knowledge Representation and Management › Author Affiliations
Further Information

Publication History

15 August 2014

Publication Date:
05 March 2018 (online)

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Summary

Objective: To summarize the best papers in the field of Knowledge Representation and Management (KRM).

Methods: A comprehensive review of medical informatics literature was performed to select some of the most interesting papers of KRM and natural language processing (NLP) published in 2013.

Results: Four articles were selected, one focuses on Electronic Health Record (EHR) interoperability for clinical pathway personalization based on structured data. The other three focus on NLP (corpus creation, de-identification, and co-reference resolution) and highlight the increase in NLP tools performances.

Conclusion: NLP tools are close to being seriously concurrent to humans in some annotation tasks. Their use could increase drastically the amount of data usable for meaningful use of EHR.

Keywords

Medical informatics - knowledge representation - natural language processing - semantic web - ontology
 

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