| The DSCP-CA: A Decision Support Computer Program-Cancer Pain Management. | |
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MedLine Citation:
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PMID: 20975538 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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The purpose of this study was to develop a decision support system using fuzzy logic that would support nurses' decisions about cancer pain management, especially for ethnic minority cancer patients. The study had two phases: (1) data collection and (2) development of the decision support computer program. In the data collection phase, an Internet survey of 428 cancer patients and four ethnic-specific online forums (about 30 participants per forum) were conducted to gather data on the cancer pain experience of the four major ethnic groups in the United States. The development phase included two components: (1) development of three modules, including a knowledge base module, a decision module, and a self-adaptation module; and (2) a 3-month evaluation of the decision support computer program by oncology nurses and subsequent incorporation of their feedback into the program. The Internet survey and online forum data were processed into fuzzy and crisp data sets, and ethnic-specific algorithms for the decision module were developed. Using the self-adaptation module, the decision support computer program was further refined as additional data were processed. Then, the decision support computer program was further developed by adding additional components suggested by the oncology nurses. |
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Authors:
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Eun-Ok Im; Wonshik Chee |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Computers, informatics, nursing : CIN Volume: 29 ISSN: 1538-9774 ISO Abbreviation: Comput Inform Nurs Publication Date: 2011 May |
Date Detail:
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Created Date: 2011-06-02 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101141667 Medline TA: Comput Inform Nurs Country: United States |
Other Details:
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Languages: eng Pagination: 289-96 Citation Subset: IM; N |
Affiliation:
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Author Affiliations: School of Nursing (Dr Im) and College of Engineering (Dr Chee), The University of Texas at Austin. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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