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Issue title: Health Computing for Intelligence of Things
Guest editors: Jungsoo Han
Article type: Research Article
Authors: Moon, Weon-Hee
Affiliations: Department of Nursing Science, Pai Chai University, Daejeon 35345, Korea | Tel.: +82 425205721; Fax: +82 7048508461; E-mail: whmoon@pcu.ac.kr
Correspondence: [*] Corresponding author: Department of Nursing Science, Pai Chai University, Daejeon 35345, Korea. Tel.: +82 425205721; Fax: +82 7048508461; E-mail: whmoon@pcu.ac.kr.
Abstract: BACKGROUND: Efficient resource management should consider the improvement of internal factors first as the unique task of medical institutions that can perform the medical services for efficient hospital management under the optimum management condition. OBJECTIVE: This study aims to suggest the efficient model for nurse resource management that can estimate optimum nurse resources according to the nursing intensity of the hospitalized patients. METHODS: The study was performed with four steps including collection and analysis of requirements, system design, system realization, and evaluation, which took 2 years and 10 months. The measurement tool used in the step of system evaluation was a modified version of Questionnaire for User Interaction Satisfaction (QUIS) 5.0. RESULTS: The system was implemented using Oracle database with Power Builder by Sybase. NRS, PCS, and ONMES were realized with developed NRMIS, and the survey was conducted on the usefulness as the system evaluation. The system evaluation results of User Interaction Satisfaction, means scores of ONMES, PCS, and NRS were 7.15 ± 0.52, 6.21 ± 1.11, and 6.03 ± 1.14 out of 9 points, respectively. Demonstrating the positive change in the subjective usefulness of the respondents after using the system compared to the period before using the system (F= 16.551, p= 0.000). CONCLUSION: It was confirmed that this system contributed to an enhancement of the working process speed, efficiency, and accuracy by simplifying the works which were the purposes of the nursing information system, which changes dynamically, to support decision making on the management of effective and flexible nurse resources.
Keywords: Healthcare personnel staffing and scheduling, hospital information system, nursing intensity, User Interaction Satisfaction, patients/classification
DOI: 10.3233/THC-191743
Journal: Technology and Health Care, vol. 27, no. 5, pp. 557-565, 2019
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