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A two-site survey of medical center personnel’s willingness to share clinical data for research: implications for reproducible health NLP research

BACKGROUND: A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal of many NLP researchers is to create a shareable repository of clinical notes, that has breadth (from multiple institutions) as well as depth (as much indiv...

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Autores principales: Weng, Chunhua, Friedman, Carol, Rommel, Casey A., Hurdle, John F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6448185/
https://www.ncbi.nlm.nih.gov/pubmed/30943963
http://dx.doi.org/10.1186/s12911-019-0778-z
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author Weng, Chunhua
Friedman, Carol
Rommel, Casey A.
Hurdle, John F.
author_facet Weng, Chunhua
Friedman, Carol
Rommel, Casey A.
Hurdle, John F.
author_sort Weng, Chunhua
collection PubMed
description BACKGROUND: A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal of many NLP researchers is to create a shareable repository of clinical notes, that has breadth (from multiple institutions) as well as depth (as much individual data as possible). METHODS: We aimed to assess the degree to which individuals would be willing to contribute their health data to such a repository. A compact e-survey probed willingness to share demographic and clinical data categories. Participants were faculty, staff, and students in two geographically diverse major medical centers (Utah and New York). Such a sample could be expected to respond like a typical potential participant from the general public who is given complete and fully informed consent about the pros and cons of participating in a research study. RESULTS: Two thousand one hundred forty respondents completed the surveys. 56% of respondents were “somewhat/definitely willing” to share clinical data with identifiers, while 89% of respondents were “somewhat (17%)/definitely willing (72%)” to share without identifiers. Results were consistent across gender, age, and education, but there were some differences by geographical region. Individuals were most reluctant (50–74%) sharing mental health, substance abuse, and domestic violence data. CONCLUSIONS: We conclude that a substantial fraction of potential patient participants, once educated about risks and benefits, would be willing to donate de-identified clinical data to a shared research repository. A slight majority even would be willing to share absent de-identification, suggesting that perceptions about data misuse are not a major concern. Such a repository of clinical notes should be invaluable for clinical NLP research and advancement.
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spelling pubmed-64481852019-04-15 A two-site survey of medical center personnel’s willingness to share clinical data for research: implications for reproducible health NLP research Weng, Chunhua Friedman, Carol Rommel, Casey A. Hurdle, John F. BMC Med Inform Decis Mak Research BACKGROUND: A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal of many NLP researchers is to create a shareable repository of clinical notes, that has breadth (from multiple institutions) as well as depth (as much individual data as possible). METHODS: We aimed to assess the degree to which individuals would be willing to contribute their health data to such a repository. A compact e-survey probed willingness to share demographic and clinical data categories. Participants were faculty, staff, and students in two geographically diverse major medical centers (Utah and New York). Such a sample could be expected to respond like a typical potential participant from the general public who is given complete and fully informed consent about the pros and cons of participating in a research study. RESULTS: Two thousand one hundred forty respondents completed the surveys. 56% of respondents were “somewhat/definitely willing” to share clinical data with identifiers, while 89% of respondents were “somewhat (17%)/definitely willing (72%)” to share without identifiers. Results were consistent across gender, age, and education, but there were some differences by geographical region. Individuals were most reluctant (50–74%) sharing mental health, substance abuse, and domestic violence data. CONCLUSIONS: We conclude that a substantial fraction of potential patient participants, once educated about risks and benefits, would be willing to donate de-identified clinical data to a shared research repository. A slight majority even would be willing to share absent de-identification, suggesting that perceptions about data misuse are not a major concern. Such a repository of clinical notes should be invaluable for clinical NLP research and advancement. BioMed Central 2019-04-04 /pmc/articles/PMC6448185/ /pubmed/30943963 http://dx.doi.org/10.1186/s12911-019-0778-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Weng, Chunhua
Friedman, Carol
Rommel, Casey A.
Hurdle, John F.
A two-site survey of medical center personnel’s willingness to share clinical data for research: implications for reproducible health NLP research
title A two-site survey of medical center personnel’s willingness to share clinical data for research: implications for reproducible health NLP research
title_full A two-site survey of medical center personnel’s willingness to share clinical data for research: implications for reproducible health NLP research
title_fullStr A two-site survey of medical center personnel’s willingness to share clinical data for research: implications for reproducible health NLP research
title_full_unstemmed A two-site survey of medical center personnel’s willingness to share clinical data for research: implications for reproducible health NLP research
title_short A two-site survey of medical center personnel’s willingness to share clinical data for research: implications for reproducible health NLP research
title_sort two-site survey of medical center personnel’s willingness to share clinical data for research: implications for reproducible health nlp research
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6448185/
https://www.ncbi.nlm.nih.gov/pubmed/30943963
http://dx.doi.org/10.1186/s12911-019-0778-z
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