Conceptual model of clinical governance information system for statistical indicators by using UML in two sample hospitals

Rangraz-Jeddi, F. and Farzandipour, M. and Arabfard, M. and Haj-Mohammad-Hosseini, A. (2016) Conceptual model of clinical governance information system for statistical indicators by using UML in two sample hospitals. Acta Informatica Medica, 24 (2). pp. 120-123.

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Abstract

Objective: The purpose of this study was investigating situation and presenting a conceptual model for clinical governance information system by using UML in two sample hospitals. Background: However, use of information is one of the fundamental components of clinical governance; but unfortunately, it does not pay much attention to information management. Material and Methods: A cross sectional study was conducted in October 2012- May 2013. Data were gathered through questionnaires and interviews in two sample hospitals. Face and content validity of the questionnaire has been confirmed by experts. Data were collected from a pilot hospital and reforms were carried out and Final questionnaire was prepared. Data were analyzed by descriptive statistics and SPSS 16 software. Results: With the scenario derived from questionnaires, UML diagrams are presented by using Rational Rose 7 software. The results showed that 32.14 percent Indicators of the hospitals were calculated. Database was not designed and 100 percent of the hospital's clinical governance was required to create a database. Conclusion: Clinical governance unit of hospitals to perform its mission, do not have access to all the needed indicators. Defining of Processes and drawing of models and creating of database are essential for designing of information systems. © 2016 Fatemeh Rangraz Jeddi, Mehrdad Farzandipoor, Masoud Arabfard, Azam Haj Mohammad Hosseini.

Item Type: Article
Additional Information: cited By 0
Uncontrolled Keywords: attention; clinical trial; content validity; controlled clinical trial; cross-sectional study; data analysis software; data base; drawing; health care quality; hospital; human; information system; interview; model; multicenter study; questionnaire; statistical model; statistics
Subjects: Health Professions
Divisions: Faculty of Para medicine > Department of Management & Health Information Technology
Depositing User: editor . 2
Date Deposited: 08 Mar 2017 22:10
Last Modified: 11 Mar 2017 14:50
URI: http://eprints.kaums.ac.ir/id/eprint/193

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