• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.552-555
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• 2017

It is de-identification that emerged to find the trade-off between the use of big data and the protection of personal information. In particular, in the field of medical that deals with various semi-identifier information and sensitive information, de-identification must be performed in order to use medical consultation such as EMR and voice, KakaoTalk, and SNS. However, there is no separate law for medical information protection and legislation for de-identification. Therefore, in this study, we present the current status of de-identification of personal information, the status and case of de-identification of medical information, and finally we provide issues and solutions for medial information protection and de-identification.

• Journal of Information Processing Systems
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• v.20 no.4
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• pp.514-523
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• 2024

In the Internet of Medical Things, due to the sensitivity of medical information, data typically need to be retained locally. The training model of heart disease data can predict patients' physical health status effectively, thereby providing reliable disease information. It is crucial to make full use of multiple data sources in the Internet of Medical Things applications to improve model accuracy. As network communication speeds and computational capabilities continue to evolve, parties are storing data locally, and using privacy protection technology to exchange data in the communication process to construct models is receiving increasing attention. This shift toward secure and efficient data collaboration is expected to revolutionize computer modeling in the healthcare field by ensuring accuracy and privacy in the analysis of critical medical information. In this paper, we train and test a multiparty decision tree model for the Internet of Medical Things on a heart disease dataset to address the challenges associated with developing a practical and usable model while ensuring the protection of heart disease data. Experimental results demonstrate that the accuracy of our privacy protection method is as high as 93.24%, representing a difference of only 0.3% compared with a conventional plaintext algorithm.

• The Korean Society of Law and Medicine
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• v.21 no.2
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• pp.75-103
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• 2020

There is a growing voice that medical information should be shared because it can prepare for genetic diseases or cancer by analyzing and utilizing medical information in big data or artificial intelligence to develop medical technology and improve patient care. The utilization and protection of patients' personal information are the same as two sides of the same coin. Medical institutions or medical personnel should take extra caution in handling personal information with high environmental distinct characteristics and sensitivity, which is different from general information processors. In general, the patient's personal information is processed by medical personnel or medical institutions through the processes of collection, creation, and destruction. Still, the use of terms related to personal information in the Medical Service Act is jumbled, or the scope of application is unclear, so it relies on the interpretation of precedents. For the medical personnel or the founder of the medical institution, in the case of infringement of Article 24(4), it cannot be regarded that it means only medical treatment information among personal information, whether or not it should be treated the same as the personal information under Article 23, because the sensitive information of patients is recorded, saved, and stored in electronic medical records. Although the prohibition of information leakage under Article 19 of the Medical Service Act has a revision; 'secret' that was learned in business was revised to 'information', but only the name was changed, and the benefit and protection of the law is the same as the 'secret' of the criminal law, such that the patient's right to self-determination of personal information is not protected. The Privacy Law and the Local Health Act consider the benefit and protection of the law in 'information learned in business' as the right to self-determination of personal information and stipulate the same penalties for personal information infringement such as leakage, forgery, alteration, and damage. The privacy regulations of the Medical Service Act require that the terms be adjusted uniformly because the jumbled use of terms can confuse information subjects, information processors, and shows certain limitations on the protection of personal information because the contents or scope of the regulations of the Medical Service Law for special corporations and the Privacy Law may cause confusion in interpretation. The patient's personal information is sensitive and must be safely protected in its use and processing. Personal information must be processed in accordance with the protection principle of Privacy Law, and the rights such as privacy, freedom, personal rights, and the right to self-determination of personal information of patients or guardians, the information subject, must be guaranteed.

• 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.

• Journal of Korean Clinical Health Science
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• v.2 no.1
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• pp.25-34
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• 2014

Purpose. The checked of perception for the protection of personal medical information of EMT student and Nursing student. Methods. Nursing students and EMT students 200 questionnaires were collected and Frequency analysis, Chi-square test, one-way ANOVA was performed for using the Windows SPSS(ver. 12.0). Results. Most of the subjects were aware of the protection law of personal information and Infringement of the privacy of personal information will be exposed. also, Education is needed privacy(EMT students $3.84{\pm}0.96$, Nursing students $3.73{\pm}0.99$). EMT($3.99{\pm}1.00$) and Nursing($4.07{\pm}0.94$)students due to exposure to both the patient's personal information privacy was violated would get recognized. Exposure to the computerization of information privacy will be exploited in other agencies(EMT students $3.78{\pm}0.88$, Nursing students $3.95{\pm}0.94$) was called. Conclusions. For the protection of personal health information, education needs to be expanded.

• Journal of Information Management
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• v.36 no.1
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• pp.125-154
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• 2005

Due to the development of Internet and the collection and usage of the individual information, the infringements of the personal data have been increased rapidly. Regarding the personal data protection in the medical industry, it is clearly described in 'Act on Promotion of Information and Communication Network Utilization and information Protection, etc.'. the law is ratified on the basis of the service provider, therefore, it has its own limitation to be applied to medical industry. Therefore, this paper is to set the security standard and to discuss the range of legal application and considerations on its basis for the domestic medical institution at the electronic medical record system. We exemplify specific applicable content of the electronic signature in the electronic medical record also, present a security assessment item in electronic medical system and set the criteria for the security standard in the medical industry.

• Journal of Internet Computing and Services
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• v.10 no.2
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• pp.29-40
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• 2009

The development of information technology such as the internet has brought about rapidly changes the old medical technology, e-Healthcare has been to raise social issue. The e-Healthcare which new turning point of paradigm in the medical information develops the medical policy in Korea and the technology, the prospective of reverse engineering in internet environment is incurring problems such as distribution of critical information and invasion and infringement of privacy, etc. In this research, we suggest the Role Based Access Control System, HPIP-e-Healthcare Privacy Information Protection, for solving above problem. The HPIP is composed 4 mechanisms such as Consolidate User Identity, Hospital Authorization, Medical Record Access Control, Patient Diagnosis and we are also prototyping the HPIP for feasible approach in the real computing environment.

• Convergence Security Journal
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• v.19 no.4
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• pp.123-132
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• 2019

Rapid developments of IT technology has been creating new security threats. There have been more attacks to get patients' sensitive personal information, targeting medical institutions that are relatively insufficient to prevent and defend against such attacks. Although the government has required senior general hospitals to get the ISMS certification since 2016, such a requirement has been burdensome for small and medium-sized medical institutions. Therefore, this study was designed to draw measures to identify and improve the privacy status of the medical institution by dividing it into management, physical and cyber areas for small and medium-sized medical institutions. The results of this study showed that the government should provide financial support and managerial supervision for the improvement of personal information protection of small and medium-sized medical institutions. They also suggested that the government should also provide medical security specialists, continuous medical security education, disaster planning, reduction of medical information management regulations not suitable for small and medium sized institutions.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.10
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• pp.1003-1008
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• 2016

Recently hospitals have divided into many divisions, specialized the medical service, and shown organic cooperation, all to provide patients with various and high quality medical service. They have also showed improvement in information protection by introducing an information protection system to regulate the access to patients' medical and personal information. The purpose of this paper is to present a case study to implement of a limited hospital medical information system that can regulate the access to medical information. For this, a router-based virtual network applying an ACL(: Access Control List) to regulate access to information was made using a packet tracer.

• The Journal of Korean Institute of Next Generation Computing
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• v.13 no.6
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• pp.66-76
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• 2017

In this study, we investigated how to protect personal healthcare information when constructing OMOP (Observational Medical Outcomes Partnership) CDM (Common Data Model). There are two proposed methods; to restrict data corresponding to HIPAA (Health Insurance Portability and Accountability Act) PHI (Protected Health Information) to be extracted to CDM or to disable identification of it. While processing sensitive information is restricted by Korean Personal Information Protection Act and medical law, there is no clear regulation about what is regarded as sensitive information. Therefore, it was difficult to select the sensitive information for protecting personal healthcare information. In order to solve this problem, we defined HIPAA PHI as restriction criterion of Article 23 of the Personal Information Protection Act and maps data corresponding to CDM data. Through this study, we expected that it will contribute to the spread of CDM construction in Korea as providing solutions to the problem of protection of personal healthcare information generated during CDM construction.