Difference between revisions of "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 narrative is based on a synthetic patient developed for the [https://healthnlp.hms.harvard.edu/cancer/wiki/index.php/Main_Page DeepPhe natural language processing project] (U24 CA184407 from the National Cancer Institute at the US National Institutes of Health). | + | 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 [https://journals.lww.com/academicmedicine/Abstract/publishahead/It_s_Time_to_Wikify_Clinical_Documentation__How.97719.aspx 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 [https://healthnlp.hms.harvard.edu/cancer/wiki/index.php/Main_Page DeepPhe natural language processing project] (U24 CA184407 from the National Cancer Institute at the US National Institutes of Health). |
*[[Academic Medicine standard narrative|Standard narrative]] | *[[Academic Medicine standard narrative|Standard narrative]] | ||
*[[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://www.ncbi.nlm.nih.gov/pubmed/29092954 PubMed] | # 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://www.ncbi.nlm.nih.gov/pubmed/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 [Epub ahead of print] [https://journals.lww.com/academicmedicine/Abstract/publishahead/It_s_Time_to_Wikify_Clinical_Documentation__How.97719.aspx link to original article] | ||
[[Category:Null pages]] | [[Category:Null pages]] | ||
Revision as of 18:29, 28 January 2019
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 [Epub ahead of print] link to original article