• Journal of Korean Academy of Nursing Administration
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• v.14 no.4
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• pp.440-447
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• 2008

Purpose: This study was to identify the factors affecting utilization of clinical nurses' hospital information system. Method: Using a convenient sampling, 450 nurses from 9 secondary or tertiary university hospitals in B metropolitan city were selected. Results: The extent that nurses utilize the hospital information system was 3.22 point on average. The hospital information system utilization was positively correlated with personal information utilization skill, information-oriented education, attitude toward computer, and support of the chief manager, while as negatively correlated with the organizational atmosphere. The causal factors of influencing on the hospital information system utilization were personal information technology, education experience of the hospital information system, age, attitude toward computers, education level and support of the chief manager. The total eigenvalue of the variables was 38%. The major variables of influencing on the hospital information system utilization were the personal information technology and education experience of the hospital information system. Conclusions: Thus, nurse managers should provide training courses to improve personal information technology of nurses, and consistently promote them so that nurses can readily apply the hospital information system which have been recently introduced in various ways and thus improve the efficiency of nursing.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.6
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• pp.255-262
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• 2013

Medical Gateway(MG), that integrates medical devices with its unique data format in various hospital information systems, provides effectiveness in the cost of the management unlike existing systems that uses PC as a gateway to hospital information systems because MG enables to interface medical devices with itself. However, in spite of using MG for integrating medical devices, we need additional programs or systems to interwork with EMR system of each hospital in accordance with the configuration of DB. In this paper, we design and implement the format of medical information and server system for interworking MG with EMR system. The proposed system makes easy exchanging medical data between MG and EMR system. Thus, the proposed system can contribute to a national project to export abroad advanced hospital setup converged with IT.

• Asia pacific journal of information systems
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• v.16 no.2
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• pp.69-84
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• 2006

Importance of Today's diffusion of integrated hospital information systems is that various and huge amount of data is being accumulated in their database systems. Many researchers have studied utilizing such hospital data. While most researches were conducted mainly for medical diagnosis, there have been insufficient studies to develop medical care cost prediction model, especially using machine learning techniques. In this research, therefore, we built a medical care cost prediction model for cancer patients using CBR (Case-Based Reasoning), one of the machine learning techniques. Its performance was compared with those of Neural Networks and Decision Tree models. As a result of the experiment, the CBR prediction model was shown to be the best in general with respect to error rate and linearity between real values and predicted values. It is believed that the medical care cost prediction model can be utilized for the effective management of limited resources in hospitals.

• International Journal of Quality Innovation
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• v.9 no.3
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• pp.1-14
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• 2008

Patient satisfaction with the Emergency Department(ED) in a hospital is related to the length of stay, and especially to the amount of waiting time for medical treatments. ED overcrowding decreases quality and efficiency, therefore affecting hospitals' profitability. This paper presents a forecasting and simulation model for resource management of the ED at Moses H. Cone Memorial Hospital. A linear regression forecasting model is proposed to predict the number of ED patient arrivals, and then a simulation model is provided to estimate the length of stay of ED patients, system throughput, and the utilization of resources such as triage nurses, patient beds, registered nurses, and medical doctors. The near future load level of each resource is presented using the proposed models.

• Korean journal of food and cookery science
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• v.13 no.4
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• pp.402-409
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• 1997

Understanding the satisfaction and dissatisfaction of employees has been deemed important for smooth and efficient food service management. The aim of this study was to examine the relationship between the dishwashing employees' job satisfaction and the operational and managerial factors in hospital foodservice systems. A survey of twenty conventional hospital food service systems was undertaken and detailed information was collected from 280 dishwashing employees through mailed questionnaires. Dishwashing employees' satisfaction was evaluated by measuring their job attitudes towards four aspects of their job using the modified Job Description Index (JDI). Descriptive analysis and Pearson product moment correlation analysis were used to analyze the data. The dishwashing workers were found to be more satisfied with their interpersonal relations with co-workers than with work content, pay or promotional opportunities. The demographic variables including education, type of employment and work experience were significantly related to job satisfaction. As the ratio of supervisors to dishwashing workers increased, the degree of satisfaction in dishwashing workers increased significantly.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.361-364
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• 2012

Through USN (Ubiquitous Sensor Network) is collected the patient's vital information in real-time, also information collected will be stored in the DB (Date Base), frequent use hospital saved patient's vital information for DB. Stored in the patient's vital medical information stored in the patients with frequent hospital patient to hospital if the patient's vital information is stored in DB. But, stored location is within hospital server or stored in a PC environment, because If utilize other Hospital existing hospitals will need to request. However, Existing hospital have problem for security, authentication, management, cost, manpower, such as, because other hospitals and the exchange of information does not come easily. So, If has the advantage of the patient and the patient's vital information is stored on mobile devices that you can use as DB. It is important to find information quickly and accurately, in this study, Is A study on mobile circulation loop DB systems for patient-centered serbices.

• Management & Information Systems Review
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• v.21
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• pp.115-129
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• 2007

This paper deals with recognition differences about the purchasing ethics scale of hospital of Koreans and New Zealanders in order to compare the recognition differences of purchase ethics of people of two countries in the hospital management. The results are as follows : 1. From the viewpoint of recognition about the purchasing ethics scale of hospital of Koreans and New Zealanders as two examining objects, egoism tendency is the lowest and deontology tendency is the highest commonly. 2. Koreans' two separate tendencies mentioned above shows that Korean people have been influenced by Confucian culture in spite of its high speed industralization. 3. New Zealanders' two separate tendencies mentioned above shows that they have performed their duties faithfully despite the fact of New Zealand is a nation of globalization index 2. 4. Average differences between the purchasing ethics scale of hospital shows that Koreans' ethical sensitivity is somewhat higher than of New Zealanders. 5. From the viewpoint between of the purchasing ethics scale of hospital, the egoism and utilitarian scales show big differences in ethical tendencies, and deontology scale shows differences in them.

• The Journal of Information Systems
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• v.4
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• pp.65-82
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• 1995

This paper investigates the current status of the acquisition of information resources at the domestic hospitals. First of all, as a theoretical background, the concept of hospital information systems and the acquisition of information resources are reviewed. Second, as a research methodology, samples, data collection methods, and data analysis methods are discussed. Third, research hypotheses, operational definitions of the research variables and measurement are discussed. Fourth, as research results, characteristics of the samples and the current situations of the acquisition of information rourses are discussed based on the five research hypotheses.

• Convergence Security Journal
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• v.23 no.1
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• pp.79-87
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• 2023

Precision Medicine, which utilizes personal health information, genetic information, clinical information, etc., is growing as the next-generation medical industry. In Korea, medical institutions and information communication companies have coll aborated to provide cloud-based Precision Medicine Hospital Information Systems (P-HIS) to about 90 primary medical ins titutions over the past five years, and plan to continue promoting and expanding it to primary and secondary medical insti tutions for the next four years. Precision medicine is directly related to human health and life, making information protecti on and healthcare information protection very important. Therefore, this paper analyzes the preliminary research on inform ation protection models that can be utilized in cloud-based Precision Medicine Hospital Information Systems and ultimately proposes research on ways to improve information protection in P-HIS.

• The Journal of Industrial Distribution & Business
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• v.9 no.9
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• pp.35-44
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• 2018

Purpose - In endless competition, companies pursue cost reduction and work efficiency. So, entrepreneurs try to increase job intensity, which may lead to job stress and high turnovers because of job burnout. But, Information systems are acknowledged as a work support tool that secures work convenience and the productivity of employees. In this study, we aimed to confirm the effects of information systems in reduing the work overload of employees in a human resource intensive industry. Research design, data and methodology - This is based on the job demands-resources model, conducting an empirical analysis of surveys given to hospital employees working in a human resource intensive industry. Results - The research revealed that information systems reduced the work overload of employees in a human resource intensive industry. Conclusion - This study confirmed the effects of information systems as a job resource based on JD-R theory, and presentation of empirical results indicated that information systems alleviate employee job overload and increases job satisfaction in the medical services industry. In the medical services industry, using electronic health record system decreases in work overload, which results in employees gaining time for self-development and time management, reducing job stress, and leading to job satisfaction.