• Journal of Dental Anesthesia and Pain Medicine
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• v.16 no.3
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• pp.165-173
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• 2016

Dentists often sedate patients in order to reduce their dental phobia and stress during dental treatment. Sedatives are administered through various routes such as oral, inhalation, and intravenous routes. Intravenous administration has the advantage of rapid onset of action, predictable duration of action, and easy titration. Typically, midazolam, propofol or dexmedetomidine are used as intravenous sedatives. Administration of these sedatives via infusion by using a syringe pump is more effective and successful than infusing them as a bolus. However, during intravenous infusion of sedatives or opioids using a syringe pump, fatal accidents may occur due to the clinician's carelessness. To prevent such risks, smart syringe pumps have been introduced clinically. They allow clinicians to perform effective sedation by using a computer to control the dose of the drug being infused. To ensure patient safety, various alarm features along with a drug library, which provides drug information and prevents excessive infusion by limiting the dose, have been added to smart pumps. In addition, programmed infusion systems and target-controlled infusion systems have also been developed to enable effective administration of sedatives. Patient-controlled infusion, which allows a patient to control his/her level of sedation through self-infusion, has also been developed. Safer and more successful sedation may be achieved by fully utilizing these new features of the smart pump.

• Journal of Convergence for Information Technology
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• v.9 no.2
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• pp.139-147
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• 2019

This study aims to identify and understand nurses' experience on patient safety accidents in general hospital. The qualitative research method was used to analyze the daily life of seven nurses who had experienced nursing safety accidents directly or indirectly in general hospitals. The nurses' experiences were divided into 7 categories and 24 subordinate properties and 7 categories were "unexpected experience", "missing caused by negligence", "facing the anxiety", "difficult of loneliness", "resignation from the hospital", "entering into conflict" and "being practiced a nurse". The results of this study will contribute to the establishment of policies for safety accidents in hospitals and also it will help to make a practical improvement plan to prevent the patient safety accident at the clinical site.

• Journal of Distribution Science
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• v.19 no.2
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• pp.5-14
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• 2021

Purpose: We examined informational justice, cognitive trust, and satisfaction in healthcare distribution market and their associations within the physician-patient (provider-purchaser) relationship. Methodology: 253 valid survey samples collected from patients and used structural equation modelling for analysis. Findings: We postulated that (1) physicians' informational justice has a positive impact on patients' cognitive trust, (2) patients' cognitive trust has a positive impact on satisfaction, and (3) patients' perceived informational justice has a positive impact on satisfaction. Participants were 253 people who had visited a hospital in South Korea in the past year. Results confirmed that the presence of informational justice has a positive impact on patients' cognitive trust and satisfaction in the physician-patient relationship. Additionally, once cognitive trust was built, it positively influenced patients' satisfaction. We discussed the concept and the impacts of informational justice in light of our analyses regarding patients' perceived cognitive trust and their satisfaction in the physician-patient relationship. Implications: These results emphasize the importance of ethics in healthcare, particularly physicians' frankness and honesty when providing information to patients. Further, these findings present implications for physician education, as part of their training must involve building their patients' cognitive trust as a prerequisite for developing patient satisfaction.

• The Korean Journal of Emergency Medical Services
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• v.26 no.2
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• pp.87-96
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• 2022

Purpose: By analyzing the health status of emergency patients on islands in the Jeollanam-do province, this study aims to provide basic data for proposed future medical emergency services on the islands. This information includes monthly and hourly statistics on patients' characteristics, patient frequency, an analysis of first aid procedures, response times, and time spent at hospitals. Methods: The study analyzed the monthly and hourly frequency of emergency patients, first aid status and procedures, general patient characteristics, accident types, patient cognitive status and agility, marine police response times, and frequency and percentile of hospital dispatch times. Results: 1Q and #q show the highest patient turnover rate in one year. 50.5% of daily patients are admitted between 4 PM and 12 PM. The hospital dispatch time is within a one- to two-hour window for 54.0% of all patients. Conclusion: The emergency medical service system for the Jeollanam-do province islands and seas is available to all Korean residents, citizens, and visitors. It is necessary to implement an emergency medical system for the relevant organizations.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.200-202
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• 2018

Emergency care provides primary care and stability for the patient in the early stages. It saves a patient's life and minimizes the risk until that treated in a hospital. In the recent years, An attempts have been made to convergence medical technology and IT technology to overcome the limitations of temporal, spatial, and medical technology applications. In this study, we established an environment for emergency information services. The developed smart application for emergency rescue activities support can easily identify emergency situation and First Aid. Then, it can be transmitted to a remote medical guidance doctor so that emergency treatment and hospital response can be performed quickly.

• YAKHAK HOEJI
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• v.57 no.3
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• pp.213-218
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• 2013

This study examines factors associated with fixed budgets for pharmaceuticals and clawback system for pharmaceutical industry in European countries. We used information from a survey held in 2005~2006 by Austrian Health Institute. Several information including pharmaceutical pricing policies, marketing conditions for pharmaceutical industry and patient' choice of drugs was collected. Five out of twenty five countries in EU were considered as countries with fixed budgets for pharmaceuticals and remaining 20 countries were considered as countries without fixed budget system. Comparisons were made for each information. Countries with fixed budgets for pharmaceuticals were more likely to have internal (or external) reference pricing system and other pricing mechanisms. In addition, they were more likely to permit pharmaceutical industry to be engaged in public advertising and information provision towards patients. They guaranteed patient participation in drug choice decisions. The countries with fixed budgets for pharmaceuticals were more likely to have conditions that enable the fixed budget system to work better compared to those without fixed budget system. Therefore, the study results imply that we need to check whether we have similar conditions to the countries that already have fixed budgets for pharmaceuticals when we want to introduce fixed budget mechanism for pharmaceuticals in Korea in the future.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.545-547
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• 2005

As information technology has been developed rapidly, there is growing online medicine service through forming as information technology and medicine information are amalgamated in the medical service field. That acquires real time biological information of patient through a communication network which could be applied into e-healthcare system for a diagnosis and treatment of patient. Because of these reasons, it is necessary for the e-healthcare system to develop. But,the facilities existing in the medical service field could not be used to an on line environment because of the limitation of the time and space. To solve the point of such issue, we propose an auto color analysis system that is a precise and quick to measure health states of user, and the device has the important merit that it is very low cost. Also, the hospital web database and the monitering webpage for a diagnosis have been made for an e-healthcare system.

• Journal of Information Processing Systems
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• v.16 no.6
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• pp.1238-1249
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• 2020

Throughout the world, aging populations and doctor shortages have helped drive the increasing demand for smart healthcare systems. Recently, these systems have benefited from the evolution of the Internet of Things (IoT), big data, and machine learning. However, these advances result in the generation of large amounts of data, making healthcare data analysis a major issue. These data have a number of complex properties such as high-dimensionality, irregularity, and sparsity, which makes efficient processing difficult to implement. These challenges are met by big data analytics. In this paper, we propose an innovative analytic framework for big healthcare data that are collected either from IoT wearable devices or from archived patient medical images. The proposed method would efficiently address the data heterogeneity problem using middleware between heterogeneous data sources and MapReduce Hadoop clusters. Furthermore, the proposed framework enables the use of both fog computing and cloud platforms to handle the problems faced through online and offline data processing, data storage, and data classification. Additionally, it guarantees robust and secure knowledge of patient medical data.

• Journal of Information Processing Systems
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• v.18 no.3
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• pp.302-310
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• 2022

Efficient use of limited blood products is becoming very important in terms of socioeconomic status and patient recovery. To predict the appropriateness of patient-specific transfusions for the intensive care unit (ICU) patients who require real-time monitoring, we evaluated a model to predict the possibility of transfusion dynamically by using the Medical Information Mart for Intensive Care III (MIMIC-III), an ICU admission record at Harvard Medical School. In this study, we developed an explainable machine learning to predict the possibility of red blood cell transfusion for major medical diseases in the ICU. Target disease groups that received packed red blood cell transfusions at high frequency were selected and 16,222 patients were finally extracted. The prediction model achieved an area under the ROC curve of 0.9070 and an F1-score of 0.8166 (LightGBM). To explain the performance of the machine learning model, feature importance analysis and a partial dependence plot were used. The results of our study can be used as basic data for recommendations related to the adequacy of blood transfusions and are expected to ultimately contribute to the recovery of patients and prevention of excessive consumption of blood products.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.1
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• pp.121-126
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• 2020

In oriental medicine, it is rare to recommend the same herbal medicine to other patients because it is very effective in using a certain medicine for a patient with a certain disease. Because the same prescription works well for some people, but very bad results for some people. In order to solve this problem, we developed an algorithm that automatically recommends medicinal products when the patient biometric and Sasang constitution information are selected in the web program. Moreover, in this paper, it developed SWproducts to automatically determine the patients' constitution.