Academic Medicine exhibit
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).
- 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
- 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