Informational and Structural Needs of Nursing Data Classification in Computerized Systems

• Main Authors: M Ahmadi, f Rafii, F Hoseini, M Habibi Koolaee, A Mirkarimi
• Format: Article
• Language: fas
• Published: Tehran University of Medical Sciences 2011-04-01
• Series: حیات
• Subjects: classification; information systems; nursing; computer systems; nursing classification systems; data
• Online Access: http://hayat.tums.ac.ir/article-1-67-en.html
• ISSN: 1735-2215; 2008-188X

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.