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Informational and structural needs of nursing data classification in computerized systems

Ahmadi, M. and Rafii, F. and Hoseini, F. and Koolaee, H.M. and Mirkarimi, A. (2011) Informational and structural needs of nursing data classification in computerized systems. HAYAT, 17 (1). ISSN 17352215 (ISSN)

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Abstract

Background & Aim: Healthcare classification systems help to gather information and process health data. Nursing management focus on developing computerized records to answer legal, managerial and clinical needs. The Classification systems help organizations to use nursing data. This study investigated informational and structural needs of nursing data classification. Methods & Materials: This descriptive-comparative study was carried out in 2009. Current classification systems for nursing were investigated and their specifications were gathered in a questionnaire. The items were prioritized by experts in four degrees. Using statistical analysis items with a priority over 80 percent (average 2.4) were selected. Results: Findings about nursing diagnosis, intervention and outcomes showed that diagnosis item (average 2.93 out of 3), intervention item (average 2.52 out of 3), and outcome item (average 2.84 out of 3) should be presented in the system. Structure of nursing data classification was identified as a hierarchical and combinational classification. The computerized terminology (average 1.86 out of 3) had no priority. Conclusion: It is suggested to make decisions for standardizing nursing data to use in computerized systems. Since, nursing system in Iran is moving toward defining tariff for nursing services, coding nursing care components will help this plan to be developed.

Item Type: Article
Additional Information: Unmapped bibliographic data: LA - English [Field not mapped to EPrints] J2 - HAYAT [Field not mapped to EPrints] AD - Dept. of Health Information Management, Tehran University of Medical Sciences, Tehran, Iran [Field not mapped to EPrints] AD - Center for Nursing Care Research, Tehran University of Medical Sciences, Tehran, Iran [Field not mapped to EPrints] AD - Dept. of Statistics, Tehran University of Medical Sciences, Tehran, Iran [Field not mapped to EPrints] AD - Golestan University of Medical Sciences, Golestan, Iran [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints]
Uncontrolled Keywords: Classification, Computer systems, Data, Information systems, Nursing, Nursing classification systems
Subjects: مقالات نمایه شده محققین دانشگاه در سایت ,Web of Science ,Scopus
موارد کلی
Divisions: معاونت تحقیقات و فناوری
Depositing User: GOUMS
Date Deposited: 18 Apr 2015 04:32
Last Modified: 13 May 2015 09:32
URI: http://eprints.goums.ac.ir/id/eprint/2113

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