• The Magazine of the IEIE
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• v.33 no.11 s.270
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• pp.37-45
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• 2006

• The Korean Journal of Health Service Management
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• v.7 no.3
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• pp.213-224
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• 2013

The purpose of this study is to find out the most successful way for the protection of medical information focusing on the electronic medical record(EMR). In this study, every aspect of the EMR is reviewed in terms of the hospital management. In particular, definitions, major functions, strengths and weaknesses of the EMR are considered. This study also examines the general development of the EMR as well as the current situation of applying the EMR. Important issues such as the protection of patient Medical information, informed consent, and the customer-oriented hospital information system are discussed and interpreted in light of the introduction of the EMR into the area of the hospital management. Finally, in this paper Protection of medical information by major Issues on Patient medical information.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.562-564
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• 2001

본 논문에서는 초.중등하교 종합정보관리시스템을 국가인적자원관리시스템으로 활용할 수 있다고 보고 전 국민의 건강정보관리에 이용할 방안을 모색하였다. 이를 위해 종합정보관리시스템의 학생건강기록부와 의사가 기록하는 전자의무기록부의 통합DB화를 강구하였다. 그 결과, 학교와 병원에서 공통으로 관리해야 할 건강정보들을 파악하였고, 수요자에게는 어떤 정보를 제공하여야 하는지가 밝혀졌다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.358-362
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• 2019

In this paper, we propose an algorthm for ensuring patient anonymity based on block chaining. For the anonymity of the patient and the inability to connect between the doctor and the patient, we used the stealth address separately from the identification address. Also in using the medical record, the use information such as the hash value is inputted into the block to guarantee the integrity and transparency of the medical record.

• Journal of Korean Medical classics
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• v.19 no.1 s.32
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• pp.155-167
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• 2006

From th Study on A Study on the Thesaurus of Korean medical information for developing search engine, the conclusion is as follow. Knowledge based information system consists of concepts, facts and relation. The final goal of developing the Knowledge based information system is to select, store and control the knowledge and information of Oriental Medicine. Considering limitation of organizing the knowledge system, it is difficult to realize complete basic system and application method. In order to work, it is necessary to combine experts in each part, for example Domain experts, Information and Knowledge engineer. Through the development of knowledge based information system, we can construct EMR(Electronic Medical Record) system in the near future, and it is possible to make semi-expert system. To make Knowledge based information system, we need to establish standards of information that make the distribution of Knowledge and information easily.

• Quality Improvement in Health Care
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• v.10 no.2
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• pp.204-215
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• 2003

Background : ICD-10 Classification, which is used domestically as well as internationally, has limited use in the clinical practice since it is developed for at disease statistics and epidemiology. Therefore, the purposes of this study were to improve the quality of diagnosis by constructing a new disease classification based on the diagnoses doctors currently make in the clinical setting and connecting this classification with OCS and EMR, and to meet the demands of doctors for high quality medical study data in medical research. Methods : The specialists in each ophthalmic subfield collected clinical diagnoses and abbreviations based on the ophthalmology textbooks and confirmed the classifications. Total number of clinical diagnoses collected was totaled 672, for which ideal diagnoses had been selected and a new model of disease classification model in connection with ICD-10 was constructed. The constructed classification of clinical diagnoses consisted of six steps: the first step was the classification by ophthalmic subspecialty field; the second to fifth steps were the detailed classification by each specialty field; the sixth step was the classification by site. Results : After introducing the new disease classification, research on the use and a pre-post comparison was conducted. The result from the research on the use of the clinical diagnoses in inpatient and outpatient care has shown a gradually increasing tendency. From the pre-post comparison of EMR discharge summary diagnoses, the result demonstrated that the diagnosis was stated correctly and in detail. Since the diagnosis was stated correctly, code classification became correct as well, which makes it possible to construct high quality medical DB. Conclusion : This construction of clinical diagnoses provides the medical team with high quality medical information. It is also expected to increase the accuracy and efficiency of service in the department of medical record and department of insurance investigation. In the future, if hospitals wish to construct a classification of clinical diagnosis and a standard proposal of clinical diagnosis is presented by a medical society, the standardization of diagnosis seems to be possible.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.2
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• pp.32-50
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• 2009

Since 1990 when order communication system(OCS) was first introduced, the use of information technology in medical service has been widely accepted in order to enhance quality and customer relationship as well as to increase managerial efficiency. Medical information system is rapidly increasing and is trying to make ubiquitous healthcare environment through telemedicine system. Especially, medical profession and government have taken interest in electronic medical record (EMR) system which can digitalize and manage all medical records in hospitals. By recording patient's medical information in real time, EMR system can improve service efficiency and customer service quality including short waiting time, various utilization of clinic information, and reduced cost.

• Journal of Korea Multimedia Society
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• v.12 no.8
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• pp.1172-1181
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• 2009

An electronic medical record (EMR) is the medical system that all the test are recorded as text data. However, domestic EMR systems have various forms of medical records. There are a lot of related works to standardize the laboratory codes as a LOINC (Logical Observation Identifiers Names and Code). However the existing researches resolve the problem manually. The manual process does not work when the size of data is enormous. The paper proposes a novel automatic LOINC mapping algorithm which uses indexing techniques and semantic similarity analysis of medical information. They use file system which is not proper to enormous medical data. We designed and implemented mapping algorithm for standardization laboratory codes in medical informatics compared with the existing researches that are only proposed algorithms. The automatic creation of searching words is being possible. Moreover, the paper implemented medical searching framework based on database system that is considered large size of medical data.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.731-736
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• 2023

Recently, the medical field has been applying mandatory Electronic Medical Records (EMRs) and Electronic Health Records (EHRs) systems that computerize and manage medical records, and distributing them throughout the entire medical industry to utilize patients' past medical records for additional medical procedures. However, the conversations between medical professionals and patients that occur during general medical consultations and counseling sessions are not separately recorded or stored, so additional important patient information cannot be efficiently utilized. Therefore, we propose an electronic medical record system that uses speech recognition and natural language processing deep learning to store conversations between medical professionals and patients in text form, automatically extracts and summarizes important medical consultation information, and generates electronic medical records. The system acquires text information through the recognition process of medical professionals and patients' medical consultation content. The acquired text is then divided into multiple sentences, and the importance of multiple keywords included in the generated sentences is calculated. Based on the calculated importance, the system ranks multiple sentences and summarizes them to create the final electronic medical record data. The proposed system's performance is verified to be excellent through quantitative analysis.

• Convergence Security Journal
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• v.14 no.5
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• pp.57-64
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• 2014

Beginning in 2000, domestic large hospital based integrated health information system has been developed from order communication system to electronic medical record system. However, today's advanced medical information system is integrated with unit of the system because user needs is complex and various. And, the problem is authority management of health information system in complex systems of large size hospital. It is also a serious problem of private information exposure because of user's authority management defect. In this paper, we analyze the problems of past hospital information system and propose an efficient and appropriate management authority in operating environment. It also introduces the instances applied into a large hospital EMR system, developing proper authority management to match the characteristics of the integrated medical information system. The proposed system is based on solutions of authority management system suitable for integrated health information system, as well as the next generation of EMR.