• The Korean Journal of Rehabilitation Nursing
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• v.8 no.1
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• pp.5-12
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• 2005

Purpose: The purpose of this study was to investigate the quality of life and related factors of CVA surgery patients. Method: The subjects were 64 CVA surgery patients who had discharged and received follow up care at the OPD. Data were collected using William's SS-QOL instrument and IADL. And Data were analyzed with SPSS WIN program in which frequency, percentage, t-test, Pearson's correlation and stepwise regression were used to examine the quality of life and related factors. Result: General characteristics related to QOL were marital status and economical status. Depression was the most important factor with influence on QOL in CVA disease patients after surgery. There were further positive correlation between patient's IADL and QOL and between patient's social support and QOL. Meanwhile the patient's depression level was negatively correlated with QOL. Conclusion: Depression was the most important factor with influence on QOL in CVA patients after surgery. Therefore active nursing intervention to decrease depression and to improve patient's physical functional status in needed. And the patient's family should be included in all nursing intervention and patient education so that the patient's quality of life is prompted by the maintenance of optimal wellbeing.

• Journal of Korean Society for Quality Management
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• v.46 no.3
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• pp.539-550
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• 2018

Purpose: The purpose of this study was to find meaningful patient groups of disease using foreign patients data and analyze implemented test of the patient groups. Methods: The data was collected by foreign patients' EMR data of K university hospital. The author proposed tree-form patients' characteristic diagram through statistical methods that association rule, proportion test, clustering using prescription information and questionnaire information. Results: This study's analysis process was applied high blood data and diabetes data. Analysis showed other characteristic of meaningful patient groups in high blood and diabetes. In high blood, test implementation rate of patient group showed the differences. And in diabetes, test implementation rate of patient group and implemented test list showed differences. Conclusion: The result of this study can play a role as basic data that can be clinical testing standard in preventive aspect. Eventually, 5 dimensions of SERVQUAL will be improved by this study's process.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.899-902
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• 2009

As computer network and wireless technology continue to grow rapidly, a wide range of remote application has been applied to medical field such as remote medical consulting and remote patient monitoring. This research aims to design RF telecommunication-based healthcare application to collect and manage patient's physiological data, and describe the overall procedure of experiment. MySQL database is designed to record patient's physiological data including temperature, blood pressure and heart rate and save information about medical behaviors such as doctor's prescription for patients. Therefore, users approved by healthcare application can query patient's data and collected data can be used to reorganize data for clinical test. As a result, temperature and humidity of patient's room which must be checked frequently can be processed automatically through ubiquitous sensor network. The information entered from mobile phones or web is saved in database, ensuring systematical management through computer. Moreover, patient's family members can easily access hospital data, improving their experience with medical service.

• Proceedings of the KOSOMBE Conference
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• v.1997 no.05
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• pp.171-175
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• 1997

We have developed a remote diagnosis system using the LAN and MODEM which enables a routine check for a patient remotely. We used $LabVIEW^{TM}$ as the programing development tool and DAQ (Data Aquisition) board from National Instrument for data aquisition. The LAN card and MODEM are used for the transmission of patient's data. A patient data are aquired by DAQ board and signal processing is done by $LabVIEW^{TM}$, which is a graphical prgamming language. Two methods for the data of transmission. One is the Client-Server model using TCP/IP (Transmission Control Protocol / Internet Address) in the LAN (Local Area Network) Another is using MODEM to transmit the measured data from a patient. In this case, the data transmission is accomplished by the FTP (File Transfer Protocol).

• Journal of Korea Multimedia Society
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• v.22 no.4
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• pp.480-490
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• 2019

Nowadays, Electronic Medical Record (EMR) has just implemented at few hospitals for Outpatient Department (OPD). OPD is the diversified data, it includes demographic and diseases of patient, so it need to be clustered in order to explore the hidden rules and the relationship of data types of patient's information. In this paper, we propose a novel approach for unsupervised clustering of patient's demographic and diseases in OPD. Firstly, we collect data from a hospital at OPD. Then, we preprocess and transform data by using powerful techniques such as standardization, label encoder, and categorical encoder. After obtaining transformed data, we use some strong experiments, techniques, and evaluation to select the best number of clusters and best clustering algorithm. In addition, we use some tests and measurements to analyze and evaluate cluster tendency, models, and algorithms. Finally, we obtain the results to analyze and discover new knowledge, meanings, and rules. Clusters that are found out in this research provide knowledge to medical managers and doctors. From these information, they can improve the patient management methods, patient arrangement methods, and doctor's ability. In addition, it is a reference for medical data scientist to mine OPD dataset.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.150-156
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• 2023

For a doctor, diagnosing a patient's heart disease is not easy. It takes the ability and experience with high flying hours to be able to accurately diagnose the type of patient's heart disease based on the existing factors in the patient. Several studies have been carried out to develop tools to identify types of heart disease in patients. However, most only focus on the results of patient answers and lab results, the rest use only echocardiography data or electrocardiogram results. This research was conducted to test how accurate the results of the classification of heart disease by using two medical data, namely echocardiography and electrocardiogram. Three treatments were applied to the two medical data and analyzed using the decision tree approach. The first treatment was to build a classification model for types of heart disease based on echocardiography and electrocardiogram data, the second treatment only used echocardiography data and the third treatment only used electrocardiogram data. The results showed that the classification of types of heart disease in the first treatment had a higher level of accuracy than the second and third treatments. The accuracy level for the first, second and third treatment were 78.95%, 73.69% and 50%, respectively. This shows that in order to diagnose the type of patient's heart disease, it is advisable to look at the records of both the patient's medical data (echocardiography and electrocardiogram) to get an accurate level of diagnosis results that can be accounted for.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.12-14
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• 2021

For the past couple of years, the medical data has been stored in centralized systems which is not the ideal storage technique since all data can be altered, stolen, or even used for evil purposes and, furthermore, the data cannot be safely shared with other doctors and hospitals in case of patient's transfer, change of state or country, in addition, patient's health status cannot be tracked and the patient's medical history is unknown. Therefore, powerful decentralized technologies and expertise can help provide better health information and help doctors and patients to better understand the situations before and after treatment, and do more research based on immutable and trusted data. One of the proposed solutions is storing and securing data on the blockchain which is less scalable, slow and expensive. Introducing a scalable, robust medical data storage and sharing system based on AI/ML, IoT, IPFS, and blockchain.

• Journal of Korean Academy of Rural Health Nursing
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• v.9 no.1
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• pp.5-18
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• 2014

Purpose: The purpose of this study was to investigate perception of patient safety culture among hospital nurses. Methods: There were four steps in this study; education about patient safety culture, pre-test, nursing activities for patient safety, post-test. A questionnaire was distributed twice to all nurses in one hospital. Pretest data were collected from April 1 to April 20 and posttest from November 15 to November 25, 2013. For the pretest data, 302 data sets were analyzed and for the posttest, 266. SPSS 12.0 was used for descriptive analysis. Results: Overall perception of nurses on patient safety culture was "moderate"(3.27). For general characteristics, there was a significant difference in patient safety culture according to work unit and length of employment. Attitude to leaders was significantly different according to nurses' age, position and work unit. Organizational culture was significantly different according to nurses' age and work unit. System of patient safety was significantly different according to work environment. In the posttest, the mean score improved. Conclusion: Results indicate that patient safety cultural perception is related to safety during nursing activities and systematic strategies to increase perception should be expanded through research and the development of new educational programs on patient safety culture.

• Journal of Korean Academy of Nursing
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• v.48 no.6
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• pp.720-730
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• 2018

Purpose: The purpose of this study was to investigate patient safety teaching competency of nursing faculty and the extent of teaching patient safety topics in the nursing curriculum. Methods: A national survey was conducted with full-time nursing faculty in 4-year nursing schools. Regional quota sampling method was used. An online survey was sent to 1,028 nursing faculty and 207 of them were completed. Among the 207, we analyzed data from 184 participants. The revised Health Professional Education in Patient Safety Survey was used. Data were analyzed using descriptive statistics, independent t-test, one-way ANOVA, Pearson's correlation analysis, and multiple linear regression analyses. Results: The faculty's self-confidence was lower than their perceived importance of patient safety education. The mean score of teaching patient safety was $3.52{\pm}0.67$ out of 5, and the contents were mostly delivered through lectures. The extent of faculty's teaching varied depending on faculty's clinical career, teaching subjects, participation in practicum courses, and previous experience of patient safety education. The significant predictors of the extent of teaching patient safety were the faculty's self-confidence in teaching patient safety (${\beta}=.39$) during clinical practicum, their perceived importance of patient safety education during lectures (${\beta}=.23$), and the teaching subject (${\beta}=.15$). Conclusion: To enhance the competency of nursing faculty for effective patient safety education, a patient safety education program tailored to faculty characteristics should be developed and continuously provided for faculty. In addition, it is necessary to improve patient safety curriculum, strengthen clinical and school linkages, and utilize various education methods in patient safety education.

• Korea Journal of Hospital Management
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• v.14 no.3
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• pp.83-103
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• 2009

The main objective of this study is to investigate the influence of physician's communication styles and quality, and physician-patient relationship on patient satisfaction for improving physician's communication which is one of factors determining service quality in health care services, and providing the suggestion for building the positive physician-patient relationship. Data were collected from 341 inpatients in 13 general hospitals and university hospitals located in Busan Metropolitan City and Kyeongsang-do area using structured self-administered questionnaires. Major results of the empirical analysis are as follows; First, mutual-opened-cooperative physician-patient relationship, patient's communication receptive attitude, patient-oriented physician's communication style, and quality were significantly varied by respondents' characteristics such as age, consensual, job, and income. Second, empathy, patient's communication receptive attitude, physician-patient relationship, and patient satisfaction were significantly varied by respondents' medical-related conditions. Third, there was a significant correlation between active communication receptive attitude of patient and mutual-opened-cooperative physician-patient relationship. Fourth, patient-oriented physician's communication style and physician-patient relationship were found to have positive influence on total communication quality and effectiveness and empathy facet of communication quality both. Finally, patient-oriented physician's communication style, empathy, active communication receptive attitude of patient, and mutual-opened-cooperative physician-patient relationship were found to have positive influence on patient satisfaction. This research findings suggest that putting emphasis on effective physician's communication and enhancing positive physician-patient relationship are crucial for marketing activities and customer satisfaction management in health care settings.