Show simple item record

dc.contributor.authorGalatzan, Benjamin J
dc.contributor.authorCarrington, Jane M
dc.contributor.authorGephart, Sheila
dc.date.accessioned2021-09-22T00:18:43Z
dc.date.available2021-09-22T00:18:43Z
dc.date.issued2021-05-10
dc.identifier.citationGalatzan, B. J., Carrington, J. M., & Gephart, S. (2021). Testing the Use of Natural Language Processing Software and Content Analysis to Analyze Nursing Hand-off Text Data. CIN - Computers Informatics Nursing, 39(8), 411–417.en_US
dc.identifier.pmid34397474
dc.identifier.doi10.1097/CIN.0000000000000732
dc.identifier.urihttp://hdl.handle.net/10150/661852
dc.description.abstractNatural language processing software programs are used primarily to mine both structured and unstructured data from the electronic health record and other healthcare databases. The mined data are used, for example, to identify vulnerable at-risk populations and predicting hospital associated infections and complications. Natural language processing programs are seldomly used in healthcare research to analyze the how providers are communicating essential patient information from one provider to another or how the language that is used impacts patient outcomes. In addition to analyzing how the message is being communicated, few studies have analyzed what is communicated during the exchange in terms of data, information, and knowledge. The analysis of the "how"and "what"of healthcare provider communication both written and verbal has the potential to decrease errors and improve patient outcomes. Here, we will discuss the feasibility of using an innovative within-methods triangulation data analysis to uncover the contextual and linguistic meaning of the nurse-to-nurse change-of-shift hand-off communication. The innovative within-methods triangulation data analysis uses a natural language processing software program and content analysis to analyze the nursing hand-off communication.en_US
dc.language.isoenen_US
dc.publisherLippincott Williams and Wilkinsen_US
dc.rightsCopyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en_US
dc.subjectHand-offen_US
dc.subjectNatural language processingen_US
dc.subjectNursing informaticsen_US
dc.subjectWithin-methods triangulationen_US
dc.titleTesting the Use of Natural Language Processing Software and Content Analysis to Analyze Nursing Hand-off Text Dataen_US
dc.typeArticleen_US
dc.identifier.eissn1538-9774
dc.contributor.departmentCollege of Nursing, University of Arizonaen_US
dc.identifier.journalComputers, informatics, nursing : CINen_US
dc.description.note12 month embargo; 01 August 2021en_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal accepted manuscripten_US
dc.source.journaltitleComputers, informatics, nursing : CIN
dc.source.volume39
dc.source.issue8
dc.source.beginpage411
dc.source.endpage417
dc.source.countryUnited States


Files in this item

Thumbnail
Name:
NLP & DATA ANALYSIS TRIANGULAT ...
Size:
224.7Kb
Format:
PDF
Description:
Final Accepted Manuscript

This item appears in the following Collection(s)

Show simple item record