• The Korean Society of Law and Medicine
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• v.22 no.4
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• pp.117-157
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• 2021

This research reviewed the HIPAA/HITECH, 21st Century Cures Act, Common Law, and private Guidances from the perspectives in protecting and utilitizing the medical data, while implications were followed. First, the standards for protection and utilization are relatively clearly regulated through single law on personal medical information in the United States. The HIPAA has been introduced in 1996 as fundamental act on protection of medical data. Medical data was divided into personally identifiable information, non-identifying information, and limited dataset under HIPAA. Regulations on de-identification measures for medical information, objects for deletion of limited data sets, and agreement on prohibition of data re-identification were stipulated. Moreover, in the 21st Century Cures Act regulated mutual compatibility for data sharing, prohibition of data blocking, and strengthening of accessibility of data subjects. Common Law introduced comprehensive consent system and clearly stipulates procedures. Second, the regulatory system is relatively simplified and clearly stipulated in the United States. To be specific, the expert consensus and the safe harbor system were introduced as an anonymity measure for identifiable medical information, which clearly defines the process while increasing trust. Third, the protection of the rights of the data subject is specified, the duty of explanation is specified in detail, while the information right of the consumer (opt-out procedure) for identification information is specified. For instance, the HHS rule and FDA regulations recognize the comprehensive consent system for human research, but the consent procedure, method, and requirements are stipulated through the common rule. Fourth, in the case of the United States, a trust-based system is being used throughout the health and medical data legislation. To be specific, Limited Data Sets are allowed to use in condition to the researcher's agreement to prohibit re-identification, and de-identification or consent process is simplified under the system.

• Journal of the Korea Safety Management & Science
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• v.19 no.4
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• pp.183-188
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• 2017

Block Chain is a technology that records and shares distributed ledgers without a central authority, providing a decentralized platform for transparent transactions in the business and enhancing transparency and traceability in all transactions to ensure trust in the transaction. Despite initial doubts about this technology, it is committed to adopting, adapting and improving the technology in a wide range of industries, including finance, government, security, logistics, food, medical, legal, and real estate. This study examines this technology, its applicability and potential benefits to the manufacturing supply chain. A tracking system of manufacturing supply chain to visualize transparency and traceability is implemented, and the conditions for adopting the technology in the manufacturing supply chain and the issues to be addressed are discussed.

• The Korean Journal of Health Service Management
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• v.5 no.1
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• pp.31-44
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• 2011

The objectives of this study were first to inspect the background information of an incentive pay system in hospitals, which provide specialized services for the public, the current status of hospitals with the system, as well as effects produced by introducing it, and then to come up with measures to invigorate the system. According to the findings of a survey, a total of 123 out of 150 hospitals responded that they applied the system to their HR management, some fully or some partially, which accounts for 82.0 percent. This study suggested that the following strategies to invigorate the incentive pay system: having a clear objective when adopting the system; concerted performance targets; practical yet worth challenging business objectives; transparent information disclosure; and establishing a confidence-building system between labor and management. Mutual trust between labor and capital should be a key factor for the successful implementation of the incentive pay system.

• Journal of muscle and joint health
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• v.28 no.2
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• pp.161-173
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• 2021

Purpose: This study examined: 1) what it meant for patients to have multimorbidity 2) how they manage their illness using health care facilities, and 3) what contextual backgrounds exist regarding the health care system. Methods: This qualitative research obtained individual in-depth interviews from 22 patients. Participants were selected by purposive sampling among those who saw physicians more often than the national average from the 2013 medical-claim data. The transcribed data were analyzed using Ground theory. Results: Multimorbidity patients suffered from "chain-like serial symptoms" and "pain without a breakthrough". They expressed themselves as "indeed patients among patients", "my body is a general hospital", and "an incompletely normal person". There was a demand to resolve the anxiety arising from the situation in which the body keeps getting sicker without showing any signs of recovery. In a state of reduced social support and a lack of trust in the doctor, their desire to be healed led them to receive a temporary relief through dependence on medical institutions. Conclusion: This research recognized the desire of multimorbidity patients to seek temporary relief through dependence on medical institutions. A more patient-centered directed care plan, specific to the needs of the patients with multimorbidity is required.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.578-592
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• 2022

The purpose of this study is to verify the relationship between medical service quality, relationship quality and patient loyalty in domestic nursing hospitals and the mediating effect between medical service quality and patient loyalty. A survey was conducted on 324 inpatients in nursing hospitals, and statistical analysis was conducted on the collected data through questionnaire survey. The following main results were derived. First, among the quality of medical services, the reputation of nursing facility equipment, nursing medical staff, nursing service system, and nursing facility was found to have a significant positive effect on the quality of the relationship, but medical expenses had no significant effect. Second, among the quality of the relationship, both trust and commitment were found to have a significant positive effect on patient loyalty. Third, among the quality of medical services, the reputation of nursing facility equipment, nursing medical staff, nursing service system, and nursing facility was found to have a significant positive effect on patient loyalty, but medical expenses had no significant effect. Fourth, it was found that nursing facility equipment, nursing medical staff, nursing service system, and reputation of nursing facilities, excluding nursing care expenses, all had a positive effect on patient loyalty through the quality of relationships between patients and hospitals.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.363-366
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• 2019

Blockchain technology is a new paradigm that will change existing business processes and has a significant impact on all industries, not just on specific industries. The medical industry also expects the impact of blockchain technology to be very significant. I think blockchain technology should be applied in the medical industry because the medical industry has the problem of information asymmetry due to the structural characteristics of a centralized system composed of hospitals. However, no one can be sure that the value of blockchain technology is absolutely right, and absolute trust should be avoided. Blockchain technology provides many limitations to the process in which blockchain technology is applied in the medical industry, as it can be seen as still immature in terms of security and scalability. Therefore, we analyze the application cases of blockchain technology in the medical field, current problems in the medical field, solutions and issues through Blockchain.

• Journal of Biomedical Engineering Research
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• v.44 no.3
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• pp.182-189
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• 2023

CT is a medical device that acquires medical images based on Attenuation coefficient of human organs related to X-rays. In addition, using this theory, it can acquire sagittal and coronal planes and 3D images of the human body. Then, CT is essential device for universal diagnostic test. But Exposure of CT scan is so high that it is regulated and managed with special medical equipment. As the special medical equipment, CT must implement quality control. In detail of quality control, Spatial resolution of existing phantom imaging tests, Contrast resolution and clinical image evaluation are qualitative tests. These tests are not objective, so the reliability of the CT undermine trust. Therefore, by applying an artificial intelligence classification model, we wanted to confirm the possibility of quantitative evaluation of the qualitative evaluation part of the phantom test. We used intelligence classification models (VGG19, DenseNet201, EfficientNet B2, inception_resnet_v2, ResNet50V2, and Xception). And the fine-tuning process used for learning was additionally performed. As a result, in all classification models, the accuracy of spatial resolution was 0.9562 or higher, the precision was 0.9535, the recall was 1, the loss value was 0.1774, and the learning time was from a maximum of 14 minutes to a minimum of 8 minutes and 10 seconds. Through the experimental results, it was concluded that the artificial intelligence model can be applied to CT implements quality control in spatial resolution and contrast resolution.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.10
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• pp.4385-4393
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• 2011

Doctor-shopping which has a tendency to seek out alternative opinions when they got diagnosed by a doctor is increasing nowadays. The purpose of this study is to examine the relationship between the doctor-shopping behavior of Korean and the related variables. Questionnaires have been distributed from 2009/10/16 to 2009/11/16 and the sample size of this study is 223 people in Korea who experienced of medical service for disease treatment purpose. Among the six independent variables, confidence in doctor's ability variable and trust of the Internet information variable have correlation with the doctor-shopping behavior. With the development of Internet and raise of consciousness toward consumer right, the consumers are now selecting doctors slightly as if they go shopping.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.6
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• pp.795-801
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• 2020

In the event of a fatal infectious disease in the country, it is very important that the government respond quickly and prevent the secondary infection of the people to prevent the subsequent spread of damage. However, in order to detect infectious diseases in existing medical institutions, and to reach the KCDCP(Korea Centers for Disease Control and Prevention) a total of four steps must be taken. In this paper, we simplifies the existing reporting process using the open blockchain. In addition, not only infectious disease related organizations share infectious disease information on the blockchain, but also grant access to the blockchain to ordinary citizens. By sharing information quickly and transparently revealing the process, we can add credibility to the response to the outbreak and official announcements. The public can also build efficient next-generation defense systems by checking information on the blockchain to prevent secondary infections.

• Korea Journal of Hospital Management
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• v.19 no.1
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• pp.43-53
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• 2014

The objective of this research is to survey of knowledge management in hospitals and to search the factors to impact the knowledge sharing and innovation behavior among employees. The data is collected with hospital employees by questionnaire method. Total number of analysis is 779 cases, and the collected data is analyzed by SEM(structural equation model). The work performance(WP) make influence the innovation behavior(IB) through knowledge sharing(KS) intention. The KS intention and IB are different in sex, age, education, work duration and work level. But, WP is different only in sex. The only personnel and organizational factors to affect KS intention, WP and IB are reciprocity(in personnel factor) and trust(in organization factor). Those factors mean the mental or psychological relationship among employees. So, to make more developed knowledge management in hospitals is to need more personal relationship than any other system management or incentives.