Difference between revisions of "Academic Medicine exhibit"
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*[[Academic Medicine wiki-based narrative|Wiki-based narrative]] | *[[Academic Medicine wiki-based narrative|Wiki-based narrative]] | ||
===References=== | ===References=== | ||
| − | # 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. [http://cancerres.aacrjournals.org/content/77/21/e115.long link to original article] [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690492/ link to PMC article] [https:// | + | # 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. [http://cancerres.aacrjournals.org/content/77/21/e115.long link to original article] [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690492/ link to PMC article] [https://pubmed.ncbi.nlm.nih.gov/29092954/ 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 | + | # 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 May;94(5):645-650. [https://doi.org/10.1097/acm.0000000000002613 link to original article] [https://pubmed.ncbi.nlm.nih.gov/30681451/ PubMed] |
[[Category:Null pages]] | [[Category:Null pages]] | ||
Latest revision as of 20:29, 1 May 2023
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
- 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 May;94(5):645-650. link to original article PubMed