Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2014 Aug 15;9(1):167-9.
doi: 10.15265/IY-2014-0037.

Managing free text for secondary use of health data

N Griffon, J Charlet, S J Darmoni
Review

Managing free text for secondary use of health data

N Griffon et al. Yearb Med Inform. .

Abstract

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; ontology; semantic web.

PubMed Disclaimer

References

    1. Safran C, Bloomrosen M, Hammond WE, Labkoff S, Markel-Fox S, Tang PC, Detmer DE, Expert Panel. Toward a national framework for the secondary use of health data: an American Medical Informatics Association White Paper. J Am Med Informatics Assoc 2007;14(1):1–9. - PMC - PubMed
    1. Lamy J-B, Séroussi B, Griffon N, Kerdelhué G, Jaulent M-C, Bouaud J. Selection of the IMIA Yearbook best papers: reducing variability by formalizing the literature search strategy. Methods Inf Med: Submitted2014. - PubMed
    1. Deleger L, Molnar K, Savova G, Xia F, Lingren T, Li Q, et al. Large-scale evaluation of automated clinical note de-identification and its impact on information extraction. J Am Med Inform Assoc 2013;20(1):84–94. - PMC - PubMed
    1. MacLean DL, Heer J. Identifying medical terms in patient-authored text: a crowdsourcing-based approach. J Am Med Inform Assoc 2013;20(6):1120–7. - PMC - PubMed
    1. Chowdhury MFM, Zweigenbaum P. A controlled greedy supervised approach for co-reference resolution on clinical text. J Biomed Inform 2013;46(3):506–15. - PubMed

LinkOut - more resources