• Journal of East-West Nursing Research
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• v.29 no.1
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• pp.24-32
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• 2023

Purpose: This study aims to examine level of perception and performance of privacy protection behavior of anesthesia and operating room (OR) nurses for patients who underwent general anesthesia surgery. Methods: Data collection was conducted from August 2020 to January 2021 for a total of 101 participants, consisting of 49 patients and 52 nurses. Independent t-test and Pearson's correlation were conducted using SPSS 21. Results: Anesthesia and OR nurses showed the highest score in patient privacy, followed by patient information management, body privacy, and the lowest score in communication. There was a significant difference between the patient information and the communication. Conclusion: Anesthesia and OR nurses had the highest level of perception and performance of patient privacy protection behavior for body privacy, and the lowest for communication. In addition, there was a significant difference in patient information management and communication. In order to protect the privacy of patients undergoing general anesthesia surgery, efforts are needed to learn standardized nursing knowledge, attitudes, and practice.

• Journal of Korea Society of Industrial Information Systems
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• v.19 no.3
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• pp.57-66
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• 2014

This paper proposes the UHISRL(Ubiquitous Healthcare Information System based on Real Time Location) which manages patient, doctor, medicine by using RFID. The proposed UHISRL monitors the patient's health state, and enables us to confirm the result with Smart Phone and Tablet PC. Also, it can block Replay and Spoofing attack by using the ERHL(Extended Randomized Hash Lock) authentication scheme designed in this paper. A patient privacy is enhanced by limiting UHISRL DB access according to attributes with CP-ABE (Cipher Text - Attributed based Encryption) technique. Specially, UHISRL can prevent an unexpected accident by monitoring a chronic patient's emergency situation in real time.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.1
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• pp.49-56
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• 2013

Among U-healthcare services adapting the latest IT technique and medical technique, a body-injecting device technique providing medical service to a patient who has incurable disease. But the body-injecting device technique can be easily exposed during wireless section to the third person and it can be used illegally. This paper proposes certification protocol which certifies a patient and hospital staff using random number created by certification server and a patient with hospital staff by synchronization. Specially, the proposed protocol uses security information created by information registered in certification server previously by a patient and hospital staff so that in keeps from accessing of third person who didn't get approval. And it gives more stability.

• 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.

• Journal of Korean Academy of Nursing
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• v.35 no.6
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• pp.1004-1013
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• 2005

Purpose: The main purpose of this study was to explore nurse-patient interaction behaviors and patient satisfaction with the interaction in the emergency department. Method: This study used video technology to record complete conversations between the nurse and patient, thus obtaining the interactions naturally occurring in a clinical setting. The participants were 28 nurses and 63 patients in the emergency department at one university hospital located in Seoul. The data was collected from November, 2002 to April, 2003. The video recordings were observed for 4 hours for each case and coded using an adapted version of Roter's Interaction Analysis System (RIAS), which yields frequencies of thirty-six types of interaction behaviors. Result: The information exchange related to therapeutic items including medications, simple orientation, and situational positive talk were characterized in the nurses' interaction behaviors. Giving information about one's own condition, questions about therapeutic regimen, and showing worry were characterized in patient interaction behaviors. The patients' satisfaction with the interaction was 37.75.9 (range 9-45). Conclusion: The emergency nurse-patient interaction behavior was task-related. The results suggest that identification of effective interaction behavior in the Emergency department and an interaction skill training program could increase patient satisfaction.

• Women's Health Nursing
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• v.18 no.4
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• pp.268-278
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• 2012

Purpose: This study aims to determine obstetric and gynecologic (OBGY) nurses' perception and performance propecting patients' privacy, and to contribute to develop educational program and improve the quality of nursing care. Methods: 206 OBGY nurses in 6 hospitals using an electronic medical record or an order communicating system were chosen by convenience sampling and agreed to participate in the study. The questionnaire, explored 4 domains of privacy: direct nursing, linked business, patient information management, communication with relatives. Results: Perception and performance of protecting patient privacy averaged 4.29 (of 5) and 3.55 (of 5), respectively. Most nurses (94.2%) recognized the importance of protecting patient privacy, 80.1% received patient privacy education. There was a distinct difference between the perception and performance of protecting patient privacy of nurses. Performance of protecting patient privacy had a positive correlation with perception. Conclusion: Proper performance of protecting privacy protection requires improving perception of each nurse on the patient privacy, and various efforts should be made to minimize the affect from external factors such as hospital environment. It is needed to educate nurses for patient privacy. It is also needed for medical organizations to improve their policies and facilities to ease the performance for privacy protection.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.227-233
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• 2015

The recent health care is growing rapidly want to receive offers users a variety of medical services, can be exploited easily exposed to a third party information on the role of the patient's hospital staff (doctors, nurses, pharmacists, etc.) depending on the patient clearly may have to be classified. In this paper, in order to ensure safe use by third parties in the health care environment, classify the attributes of patient information and patient privacy protection technique using hierarchical multi-property rights proposed to classify information according to the role of patient hospital officials The. Hospital patients and to prevent the proposed method is represented by a mathematical model, the information (the data consumer, time, sensor, an object, duty, and the delegation circumstances, and so on) the privacy attribute of a patient from being exploited illegally patient information from a third party the prevention of the leakage of the privacy information of the patient in synchronization with the attribute information between the parties.

• Journal of Convergence Society for SMB
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• v.6 no.1
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• pp.33-38
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• 2016

Disease of patient who visited the hospital can cause different symptoms of the disease, depending on the environment and lifestyle. Recent medical services offered in patients has changed in the environment that can be selected for treatment by analyzing the patient according to the disease symptoms. In this paper, we propose an efficient method to manage disease control because the treatment method may change at any patients suffering from the disease according to the patient conditions by grouping the different treatments to patients for disease information. The proposed scheme has a feature that can be ingested by the patient big disease information, as well as to improve the treatment efficiency of the medical treatment the increase patient satisfaction. The proposed sheme can handle big data by clustering of disease information for patients suffering from diseases such as patient consent small groups. In addition, the proposed scheme has the advantage that can be conveniently accessed via a particular keyword, the treatment method according to patient disease information. The experimental results, the proposed method has been improved by 23% in terms of efficiency compared to conventional techniques, disease management time is gained 11.3% improved results. Medical service user satisfaction seen from the survey is to obtain a high 31.5% results.

• Journal of Periodontal and Implant Science
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• v.46 no.3
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• pp.207-217
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• 2016

Purpose: The aim of this study is to analyze and visualize the distribution of patients visiting the periodontology department at a dental college hospital, using a geographic information system (GIS) to utilize these data in patient care and treatment planning, which may help to assess the risk and prevent periodontal diseases. Methods: Basic patient information data were obtained from Dankook University Dental Hospital, including the unit number, gender, date of birth, and address, down to the dong (neighborhood) administrative district unit, of 306,656 patients who visited the hospital between 2007 and 2014. The data of only 26,457 patients who visited the periodontology department were included in this analysis. The patient distribution was visualized using GIS. Statistical analyses including multiple regression, logistic regression, and geographically weighted regression were performed using SAS 9.3 and ArcGIS 10.1. Five factors, namely proximity, accessibility, age, gender, and socioeconomic status, were investigated as the explanatory variables of the patient distribution. Results: The visualized patient data showed a nationwide scale of the patient distribution. The mean distance from each patient's regional center to the hospital was $30.94{\pm}29.62km$ and was inversely proportional to the number of patients from the respective regions. The distance from a regional center to the adjacent toll gate had various effects depending on the local distance from the hospital. The average age of the patients was $52.41{\pm}12.97years$. Further, a majority of regions showed a male dominance. Personal income had inconsistent results between analyses. Conclusions: The distribution of patients is significantly affected by the proximity, accessibility, age, gender and socioeconomic status of patients, and the patients visiting the periodontology department travelled farther distances than those visiting the other departments. The underlying reason for this needs to be analyzed further.

• Journal of information and communication convergence engineering
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• v.5 no.1
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• pp.73-77
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• 2007

This paper discusses the implementation of a rehabilitation center based on a ubiquitous sensor network. This paper discusses the implementation of a rehabilitation center based on a ubiquitous sensor network. We recognize that certain mild conditions requiring rehabilitation may be treated with minimal human supervision. In place of this constant human supervision, a variety of sensors are used to monitor the patient and rehabilitation progress. These sensors send data through a wireless Zigbee network to a server which stores the data and makes it available to a rehabilitation expert for analysis. This rehabilitation expert also issues rehabilitation prescriptions which are created based on the expert's determination of the patient's condition. By having the ability to control the rehabilitation equipment used, strictly enforce the assigned prescription, and constantly monitor the patient for any warning signs, the system ensures a safe and optimal rehabilitation session.