Academic Medicine exhibit

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The purpose of this page is to illustrate the difference between a "standard" longitudinal medical narrative and a "wiki-based" narrative; this exhibit is supplementary to the manuscript It’s Time to Wikify Clinical Documentation: How Collaborative Authorship Can Reduce the Burden and Improve the Quality of the Electronic Health Record. This narrative is based on a synthetic patient developed for the DeepPhe natural language processing project (U24 CA184407 from the National Cancer Institute at the US National Institutes of Health).

References

  1. Savova GK, Tseytlin E, Finan S, Castine M, Miller T, Medvedeva O, Harris D, Hochheiser H, Lin C, Chavan G, Jacobson RS. DeepPhe: a natural language processing system for extracting cancer phenotypes from clinical records. Cancer Res. 2017 Nov 1;77(21):e115-e118. link to original article link to PMC article PubMed
  2. Warner JL, Smith J, Wright A. It’s Time to Wikify Clinical Documentation: How Collaborative Authorship Can Reduce the Burden and Improve the Quality of the Electronic Health Record. Acad Med. 2019 [Epub ahead of print] link to original article