Staggered NLP-assisted refinement for Clinical Annotations of Chronic Disease Events

Stephen Wu; Chung-Il Wi; Sunghwan Sohn; Hongfang Liu; Young Juhn

Staggered NLP-assisted refinement for Clinical Annotations of Chronic Disease Events

Stephen Wu, Chung-Il Wi, Sunghwan Sohn, Hongfang Liu, Young Juhn

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Abstract

Domain-specific annotations for NLP are often centered on real-world applications of text, and incorrect annotations may be particularly unacceptable. In medical text, the process of manual chart review (of a patient’s medical record) is error-prone due to its complexity. We propose a staggered NLP-assisted approach to the refinement of clinical annotations, an interactive process that allows initial human judgments to be verified or falsified by means of comparison with an improving NLP system. We show on our internal Asthma Timelines dataset that this approach improves the quality of the human-produced clinical annotations.

Anthology ID:: L16-1068
Volume:: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:: May
Year:: 2016
Address:: Portorož, Slovenia
Editors:: Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:: LREC
SIG:
Publisher:: European Language Resources Association (ELRA)
Note:
Pages:: 426–429
Language:
URL:: https://aclanthology.org/L16-1068/
DOI:
Bibkey:
Cite (ACL):: Stephen Wu, Chung-Il Wi, Sunghwan Sohn, Hongfang Liu, and Young Juhn. 2016. Staggered NLP-assisted refinement for Clinical Annotations of Chronic Disease Events. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 426–429, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):: Staggered NLP-assisted refinement for Clinical Annotations of Chronic Disease Events (Wu et al., LREC 2016)
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PDF:: https://aclanthology.org/L16-1068.pdf

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@inproceedings{wu-etal-2016-staggered,
    title = "Staggered {NLP}-assisted refinement for Clinical Annotations of Chronic Disease Events",
    author = "Wu, Stephen  and
      Wi, Chung-Il  and
      Sohn, Sunghwan  and
      Liu, Hongfang  and
      Juhn, Young",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Grobelnik, Marko  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, Helene  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
    month = may,
    year = "2016",
    address = "Portoro{\v{z}}, Slovenia",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://aclanthology.org/L16-1068/",
    pages = "426--429",
    abstract = "Domain-specific annotations for NLP are often centered on real-world applications of text, and incorrect annotations may be particularly unacceptable. In medical text, the process of manual chart review (of a patient{'}s medical record) is error-prone due to its complexity. We propose a staggered NLP-assisted approach to the refinement of clinical annotations, an interactive process that allows initial human judgments to be verified or falsified by means of comparison with an improving NLP system. We show on our internal Asthma Timelines dataset that this approach improves the quality of the human-produced clinical annotations."
}

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%0 Conference Proceedings
%T Staggered NLP-assisted refinement for Clinical Annotations of Chronic Disease Events
%A Wu, Stephen
%A Wi, Chung-Il
%A Sohn, Sunghwan
%A Liu, Hongfang
%A Juhn, Young
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F wu-etal-2016-staggered
%X Domain-specific annotations for NLP are often centered on real-world applications of text, and incorrect annotations may be particularly unacceptable. In medical text, the process of manual chart review (of a patient’s medical record) is error-prone due to its complexity. We propose a staggered NLP-assisted approach to the refinement of clinical annotations, an interactive process that allows initial human judgments to be verified or falsified by means of comparison with an improving NLP system. We show on our internal Asthma Timelines dataset that this approach improves the quality of the human-produced clinical annotations.
%U https://aclanthology.org/L16-1068/
%P 426-429

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Markdown (Informal)

[Staggered NLP-assisted refinement for Clinical Annotations of Chronic Disease Events](https://aclanthology.org/L16-1068/) (Wu et al., LREC 2016)

Staggered NLP-assisted refinement for Clinical Annotations of Chronic Disease Events (Wu et al., LREC 2016)

ACL

Stephen Wu, Chung-Il Wi, Sunghwan Sohn, Hongfang Liu, and Young Juhn. 2016. Staggered NLP-assisted refinement for Clinical Annotations of Chronic Disease Events. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 426–429, Portorož, Slovenia. European Language Resources Association (ELRA).