• 의료법학
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• 제13권1호
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• pp.359-395
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• 2012

In a broad term, health and medical data means all patient information that has been generated or circulated in government health and medical policies, such as medical research and public health, and all sorts of health and medical fields as well as patients' personal data, referred as medical data (filled out as medical record forms) by medical institutions. The kinds of health and medical data in medical records are prescribed by Articles on required medical data and the terms of recordkeeping in the Enforcement Decree of the Medical Service Act. As EMR, OCS, LIS, telemedicine and u-health emerges, sharing and protecting digital health and medical data is at issue in these days. At medical institutions, health and medical data, such as medical records, is classified as "sensitive information" and thus is protected strictly. However, due to the circulative property of information, health and medical data can be public as well as being private. The legal grounds of health and medical data as such are based on the right to informational self-determination, which is one of the fundamental rights derived from the Constitution. In there, patients' rights to refuse the collection of information, to control recordkeeping (to demand access, correction or deletion) and to control using and sharing of information are rooted. In any processing of health and medical data, such as generating, recording, storing, using or disposing, privacy can be violated in many ways, including the leakage, forgery, falsification or abuse of information. That is why laws, such as the Medical Service Act and the Personal Data Protection Law, and the Guideline for Protection of Personal Data at Medical Institutions (by the Ministry of Health and Welfare) provide for technical, physical, administrative and legal safeguards on those who handle personal data (health and medical information-processing personnel and medical institutions). The Personal Data Protection Law provides for the collection, use and sharing of personal data, and the regulation thereon, the disposal of information, the means of receiving consent, and the regulation of processing of personal data. On the contrary, health and medical data can be inspected or delivered of the copies, based on the principle of restriction on fundamental rights prescribed by the Constitution. For instance, Article 21(Access to Record) of the Medical Service Act, and the Personal Data Protection Law prescribe self-disclosure, the release of information by family members or by laws, the exchange of medical data due to patient transfer, the secondary use of medical data, such as medical research, and the release of information and the release of information required by the Personal Data Protection Law.

• 한국IT서비스학회지
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• 제23권3호
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• pp.39-54
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• 2024

This study explores the barriers to using health and medical data in research and development (R&D) within the healthcare industry and suggests ways to enhance data utilization. As artificial intelligence technology drives transformative changes across industries, there is an increased demand for robust health and medical data, highlighting its critical economic value and utility in fostering innovation. Using qualitative analysis through Grounded Theory, the study involves ten R&D professionals from healthcare industry, including both medical centers and corporations, using surveys and in-depth interviews to gather diverse experiences and perspectives on the challenges and opportunities in health and medical data use. Key findings point to legislative, regulatory, and data quality and integration issues, as well as complexities in patient data access and usage. Technological limitations and inadequate data governance frameworks also emerge as significant obstacles. Recommendations focus on improving regulatory frameworks, enhancing data standardization and quality, and fostering stronger partnerships between data custodians and users. The study concludes that overcoming these obstacles requires a comprehensive strategy involving legislative changes, improved technological infrastructure, and increased stakeholder collaboration. Implementing these recommendations could greatly enhance health and medical data utilization in R&D, significantly advancing medical science and patient care services.

• 한국병원경영학회지
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• 제26권1호
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• pp.71-82
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• 2021

Purpose: The purpose of this study is to estimate incomes and costs of the medical clinics by using secondary data. Methodology: The medical incomes and costs were estimated from 405 clinics operated by sole practitioner providing out-patient services among all clinics subject to the Medical Cost Survey on National Health Insurance Patients in 2017, excluding dental clinics and oriental medical clinics. The incomes and costs of the medical clinics were reflected with incomes and costs of health insurance benefits and were calculated by types of medical services (i.e., basic care, surgery, general treatment, functional test, specimen test and imaging test). The costs were classified as follows: labor costs, equipment costs, material costs and overhead costs. Secondary data was used to estimate the incomes and costs of the medical clinics. For allocation bases for costs for each type of the medical service, the ratio of revenue from health insurance benefits by types of medical services was applied. However, labor costs were calculated with the activity ratio by types of medical services and occupations, using clinical expert panel data. Finding: The percentage of health insurance income for all medical income was 73.1%. The health insurance cost per clinic was 401,864 thousand won. Labor cost accounted for the largest portion of the health insurance income was 191,229 thousand won (47.6%), followed by management cost was 170,018 thousand won (42.3%), materials cost was 35,434 thousand won (8.8%), and equipment costs was 5,183 thousand won (1.3%). Practical Implications: This study suggests a method of estimating incomes and costs of medical clinic services by using secondary data. It could efficiently provide incomes and costs to assess an appropriate level of the health insurance fee to the clinics.

• Safety and Health at Work
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• 제13권1호
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• pp.112-116
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• 2022

Background/Aims: The Gachon Regional Occupational Cohort Study (GROCS) is a large-scale longitudinal study of occupational safety and health data (covering Work Environment Monitoring, Workers' Health Surveillance, and Occupational Health Service) conducted by the Gachon University Gil Medical Center (GUGMC) in Incheon, Republic of Korea. We conducted GROCS to identify the health effects of workers' occupational risks, behavior, socioeconomic status, and life style. Methods: The GROCS includes data from Work Environment Monitoring, Workers' Health Surveillance, and Occupational Health Service. The baseline year for all data collection was 2018. Work Environment Monitoring was conducted in 240 companies located in Incheon. General Health Examination and Special Health Examination were performed on 32,725 and 9,504 workers, respectively. Occupational Health Services were provided to 16,883 workers in 171 companies. These data have been collected and operated at an external data management institution and were provided as a retrospective cohort after removing personal identification information. Results: In 2018, the total number of companies was 2,854, among which which 488 special Health Examination, 171 Work Environment Monitoring, and 240 Occupational Health Service. The proportion of companies undergoing Special Health Examination was 17.1%, the proportion of companies undergoing Work Environment Monitoring was 8.4%, and the proportion of Companies undergoing Occupational Health Service was 6.0%. Conclusion: GROCS expects researchers to utilize its useful and reliable resource for occupational health and surveillance with for academic or political purposes to lead to improved workers' health and working environment.

• 보건행정학회지
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• 제25권2호
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• pp.80-89
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• 2015

Background: This study aims to identify the monthly average medical expenses of public pension recipients, and analyze the determinants of total health and medical expenses and Western and Oriental medicine expenses, medical service expenses, and medical supplies expenses. Methods: This study used the fifth year data of 2013 out of the raw data of the Korean Retirement and Income Study collected by the National Pension Research Institute. This study conducted t-test, analysis of variance, and linear regression to verify publicly the relevance between pension recipients' general characteristics and health and medical expenses status using IBM SPSS ver. 21.0 for data analysis. Results: It was analyzed that there is a difference in the spending of expenditure and health care costs according to public pension recipients. Medical expenses of the national pensioners was higher compared to the special corporate pensioners. The national pensioner is related expenditure size, education level, family members living together, residential areas, status of spouse, number of chronic illness, and status of limitation in daily life with psychological health status. Conclusion: Therefore, fairness does not occur fire to the medical use between the special corporate pensioners and national pensioners, aggressive of government such as health policy and financial support for the retiree pension policy that reflects the reality intervention would be required.

• 보건의료생명과학 논문지
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• 제10권1호
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• pp.1-14
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• 2022

본 연구는 보건의료빅데이터를 활용한 보건의료행정 관련학과에서 빅데이터 관련 교육프로그램 활용 가능성에 대한 고찰이다. 본 논문에서는 크게 5가지 관점으로 보건의료빅데이터를 고찰하고자 한다. 첫째, '보건의료빅데이터개방시스템' 이외에도 '한국복지패널', '공공빅데이터', '서울시', '통계청' 등에서 공개하고 있는 공공빅데이터의 특징 및 활용기술에 대하여 살펴보고자 한다. 둘째, 해당되는 보건의료 빅데이터를 전문대학 보건의료행정 및 보건의료정보 관련학과의 정규과목 내에서 살아있는 데이터로써 활용이 가능한지에 대한 적정성 여부를 살펴보고자 한다. 셋째, 기존에 활용하고 있는 통계처리패키지 및 프로그래밍 언어를 활용한 실습실 강의 여부에 가장 적절한 툴을 선정하고자 한다. 넷째, 검증된 보건의료빅데이터와 적정 툴을 활용하여 수업에서 그래프 등의 표현가능성 여부 및 보고서 작성까지의 단계를 시험해보고자 한다. 마지막으로, 최종적으로 휴대성, 설치성, 비용성, 호환성, 빅데이터처리가능성 등을 만족할 수 있는 R언어의 상대적 이점을 기술하고자 한다.

• 보건의료산업학회지
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• 제12권4호
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• pp.203-217
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• 2018

Objectives : This study aimed to investigate the clinical practice ability and satisfaction of clinical training of health-medical information management major students. Methods : The data were collected from 68 persons from students finished clinical training at medical record (information) team using self administered questionnaires. The data were analyzed using t-test, ANOVA and correlation with SPSS 22.0 version. Results: Performance of data collection, data management, and data analysis were analyzed in three areas of the job area. In terms of academic characteristics and correlation, they were not related to the level of satisfaction with the practical experience. Conclusions : Research on a virtuous cycle clinical practice program that analyzes the factors by assessing the satisfaction level of clinical practice in each area of health care information management will be conducted continuously.

• Journal of Preventive Medicine and Public Health
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• 제30권4호
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• pp.870-883
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• 1997

The health center has to play an important role in promoting community health and satisfying a variety of community health needs and demands in the decentralized Korea. The nearly enacted Community Health Act compels every health center to make its own health plans which intend to deal with local health problems and plan its future health care. This obligation is obviously a big burden to most health centers. They do not have experiences in and abilities of making local health care plans. In order to establish a systematic community health plan, health centers have to concentrate their efforts on enhancing the ability of making health care plan through gathering and analysing the local health informations. However, it is very difficult in reality. This is simply because it will take long time to accomplish these activities. It seems natural that various professionals and researchers participate in carrying out the process of making community health plan in the initial stage. No standardized methodology and analysing framework exist even in the health professional society. Nonetheless, it is common to introduce survey research methodologies in analysing consumer's health care utilization and cost, and in identifying factors influencing health behaviors. Many researchers and professionals have applied social survey methodologies in obtaining information on providers and health policy makers as well. The authors have found that few studies have ever utilized local health data stored at the self-employed medical insurance society as the data source of planning activities. The purpose of this study is to illustrate the usefulness of the data stored at the Sung-Dong Gu Self-employed Medical Insurance Society in establishing the community health plan. The major contents of this study are as follows ; 1. frequency of utilization by age, area, sex, type of medical care institutions, and some major diseases 2. Medical treatment by type of medical care institutions, by classification of 21 diseases, by frequency of three-character categories 3. Medical treatment of major neoplasm and some chronic diseases by age, sex, and area. The conclusion of this study is that it is of great potentiality to find out the local health problems and to use them in blueprinting the community health plan through comparing the frequency of medical utilization analyzed by a variety of variables with NHI health data or the health data from survey research.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제6권6호
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• pp.303-308
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• 2017

생활 수준의 향상 및 소비자들의 건강에 대한 관심의 증가로 인해 자신의 건강에 대해서 스스로 결정하고자 하는 요구가 점차 증가하고 있다. 이로 인해 개인 맞춤형 의료에 대한 요구가 높아지고 있으며 각종 의료 정보를 기반으로 하는 질병 진단에 대한 연구가 많이 진행되고 있다. 하지만 기존의 연구들은 특정 질환과 관련된 데이터를 이용한 특정 질환 예측을 위한 것으로 진료과목을 예측한 연구는 없었다. 본 논문에서는 국민건강정보데이터를 이용하여 진료과목 예측에 관한 연구를 진행하였다. 실험 결과에서 보여주다시피 일반 건강검진 데이터를 이용하여 진료과목을 예측한 결과 평균 80% 이상의 정확도를 보여 주고 있으며 SVM은 다른 예측 알고리즘들보다 뛰어난 성능을 보여 주었다.

• 대한한방부인과학회지
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• 제21권3호
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• pp.218-230
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• 2008

Purpose: This study was performed to investigate the percentage of the oriental medical Ob & GY disease group in Korean Medical Health Insurance and to gain the basic data of enlargement and improvement of Acupuncture Benefits in the oriental medical Ob & Gy field. Methods: We requested data about the status of Insurance Benefits in 2005. 2006 to Health Insurance Review & Assessmenstatus Service(HIRA). And on the basis of this 2005. 2006 data, we analyzed the status of Insurance Benefits and Acupuncture Benefits in the oriental medical Ob & Gy disease group. Results: 1. Total health care benefit costs of Korean medical health insurance in 2005, 2006 took 4.38 percent and 4.25 percent of total health care benefit costs of Health insurance. 2. Total health care benefit costs of the oriental medical Ob & Gy disease group in 2005, 2006 took 0.38 percent and 0.40 percent of total health care benefit costs of Korean medical health insurance. 3. The percentage of Acupuncture benefits costs of the oriental medical Ob & Gy disease group in 2005, 2006 was merely 0.22 percent and 0.23 percent of total Acupuncture Benefits costs. 4. The main sick and wounded name of Ob & Gy diseases of Acupuncture Benefits was limited to Menstrual Disorder(K01)과- Uterus Abnormality(K13). Conclusion: The percentage of the oriental medical Ob & Gy disease group in Korean Medical Health Insurance was very low and the percentage of Acupuncture Benefits of he oriental medical Ob & Gy disease group was also very low. From now on, Searching ay of enlargement of Acupuncture Benefits in the oriental medical Ob & Gy field is required.