• Journal of Korean Medicine for Obesity Research
• /
• v.17 no.1
• /
• pp.46-53
• /
• 2017

Health care big data is thought to be a promising field of interest for disease prediction, providing the basis of medical treatment and comparing effectiveness of different treatments. Korean government has begun an effort on releasing public health big data to improve the quality and safety of medical care and to provide information to health care professionals. By studying population based big data, interesting outcomes are expected in many aspects. To initiate research using health care big data, it is crucial to understand the characteristics of the data. In this review, we analyzed cases from inside and outside the country using clinical data registry. Based on successful cases, we suggest research method for evidence-based Korean medicine. This will provide better understanding about health care big data and necessity of Korean medicine data registry network.

• The Korean Journal of Health Service Management
• /
• v.10 no.4
• /
• pp.97-107
• /
• 2016

Objectives : This study aims to : (i) characterize and differentiate between two different periods of baby boomers, (ii) study the utilization of their health care services, and (iii) establish effective ways of providing better health service utilization and preventive policy strategies for upcoming and older generations. Methods : A multiple regression analysis using descriptive statistics, frequency analysis, and dummy variables was utilized to access the presence of correlations between socio-demographic factors and health care service utilization. Results : Medical insurance type, marital status, and chronic disease were factors that influenced health care service utilization. Furthermore, the factors that influenced individual medical expenses were cohabitation, inpatient days, and chronic disease. Conclusions : Primary findings and exploratory statistics revealed that there were strong correlations and interaction among some of the predictor variables. Because of the chronologically limited nature of the sample data set gathered in 2012, it would be helpful to continue to develop or research related constructs that may capture relationships more effectively among extended populations.

• The Korean Journal of Health Service Management
• /
• v.7 no.3
• /
• pp.225-235
• /
• 2013

This study purposed to analyze the productivity of regional medical capacity in attracting medical tourist between 2009 and 2011. Data envelopment analysis (DEA) and Malmquist productivity index (MPI) were applied to test the productivity and changes in study periods. The DEA model included a number of doctors, nurses, and beds as input factors, and a number of inpatient and outpatient, and hospital income as output factors. The result of the study were as follow. Jeju had efficiency value of 1 for three years. Seoul, Busan, Daegu, Daejeon, Ulsan, Gyeonggi, Gangwon, Jeonnam, Gyeongbuk, and Gyeongnam showed an increasing trend of efficiency value over three years. Seoul had the efficiency value, 1, in 2011. But, Incheon, Gwangju showed decreasing efficiency score during the study period. MPI showed overall productivity decrease during the period. Further studies will be needed by collecting more time-series data.

• Health Policy and Management
• /
• v.19 no.3
• /
• pp.125-141
• /
• 2009

The purpose of this study was to examine the role of provider practice patterns in the difference in health expenditure between the two types of patients: Health Insurance and Medical Aid type 1. The study used the outpatient claim data for all Medicaid and health insurance patients of hypertension who received medical services from 8,454 primary care physicians during the first half of 2006. The data were stratified by patient's gender and age for the two groups of patients who received care from the same physician. The dependent variables were the differences in medical expenditure per case, patient days per case and medical expenditure per patient day between Medicaid patients and health insurance patients. Empirical results showed that physician characteristics, such as physicians under age 50, greater proportion of pediatric Medicaid patients, lower proportion of new Medicaid patients and the greater number of comorbidity of Medicaid patients are associated with the greater difference between the two types of patients (i.e., greater expenditure of Medicaid patients relative to health insurance patients). This study shows that factors associated with provider practice patterns need to be taken into account in Medicaid policy.

• The Journal of Industrial Distribution & Business
• /
• v.12 no.12
• /
• pp.11-24
• /
• 2021

Purpose: The purpose of this study was to provide comprehensive measures for the development of public health care through a survey on consumers' awareness of health care use from the point of view of local residents. Research design, data and methodology: For about one week from January 07 to January 14, 2021, questionnaires were distributed to 800 local residents and analyzed. For statistical analysis of collected data, frequency analysis and cross-analysis were performed. Results: Regarding public health service, 'providing medical services that can be used by all citizens and protect and promote health' had the highest response rate of 95.2% of total respondents. Regarding health care system satisfaction, 'Accessibility to general treatment' had the highest score with an average of 3.31 points. Regarding comprehensive measures for the development of public health care, 'Establishment of an infection and patient safety system' had the highest score with an average of 3.91 points. Conclusions: The direction of public health care and services should include management of infectious diseases during national disasters, reduction of gaps in medical use by region and class, improvement of access to emergency medical care, and quality improvement of specialized medical care.

• Health Policy and Management
• /
• v.23 no.4
• /
• pp.387-396
• /
• 2013

Background: The purpose of this study was to analyze the association between areas of Korea Train Express (KTX) region and external medical service use in Korean society using spatial statistical model. Methods: The data which was used in this study was extracted from 2011 regional health care utilization statistics and health insurance key statistics from National Health Insurance Corporation. A total spatial units of 229 districts (si-gun-gu) were included in this study and spatial area was all parts of the country excepted Jeju, Ulleungdo island. We conducted Kruskal-Wallis test, correlation, Moran's I and hot-spot analysis. And after, ordinary linear regression, spatial lag, spatial error analysis was performed in order to find factors which were associated with external medical service use. The data was processed by SAS ver. 9.1 and Geoda095i (windows). Results: Moran's I of health insurance patients' external medical service use was 0.644. Also, population density, Seoul region, doctor factors positively associated with health insurance patients' external medical service. In contrast, average age, health care organization per 100 thousand were negatively associated with health insurance patients' external medical service use. Conclusion: The finding of this study suggested that health insurance patient's external medical service use correlated for seoul region in korea. The study results imply the need for more attention medical needs in the region (si-gun-gu unit) for health insurance patients of seoul region. It is important to adapt strategy to activation of primary health care as well as enhancing public health institution for prevent leakage of patients to other areas.

• Genomics & Informatics
• /
• v.11 no.4
• /
• pp.186-190
• /
• 2013

The advances in electronic medical records (EMRs) and bioinformatics (BI) represent two significant trends in healthcare. The widespread adoption of EMR systems and the completion of the Human Genome Project developed the technologies for data acquisition, analysis, and visualization in two different domains. The massive amount of data from both clinical and biology domains is expected to provide personalized, preventive, and predictive healthcare services in the near future. The integrated use of EMR and BI data needs to consider four key informatics areas: data modeling, analytics, standardization, and privacy. Bioclinical data warehouses integrating heterogeneous patient-related clinical or omics data should be considered. The representative standardization effort by the Clinical Bioinformatics Ontology (CBO) aims to provide uniquely identified concepts to include molecular pathology terminologies. Since individual genome data are easily used to predict current and future health status, different safeguards to ensure confidentiality should be considered. In this paper, we focused on the informatics aspects of integrating the EMR community and BI community by identifying opportunities, challenges, and approaches to provide the best possible care service for our patients and the population.

• Industry Promotion Research
• /
• v.7 no.3
• /
• pp.17-26
• /
• 2022

As the well-being mindset to keep our minds and bodies free and healthy more than anything else in the society we live in is spreading, the meaning of health care has become a key part of the 4th industrial revolution such as big data, IoT, AI, and block chain. The advancement of the advanced medical information service industry is being promoted by utilizing convergence technology. In digital healthcare, the development of intelligent information technology such as artificial intelligence, big data, and cloud is being promoted as a digital transformation of the traditional medical and healthcare industry. In addition, due to rapid development in the convergence of science and technology environment, various issues such as health, medical care, welfare, etc., have been gradually expanded due to social change. Therefore, in this study, first, the general meaning and current status of digital health care medical information is examined, and then, developmental tasks to activate digital health care medical information are analyzed and reviewed. The purpose of this article is to improve usability to fully pursue our human freedom.

• Journal of Home Health Care Nursing
• /
• v.29 no.1
• /
• pp.5-17
• /
• 2022

Purpose: This study aimed to investigate the role of hospital-based home health nursing in community care by examining the institutional progress of hospital-based home health nursing and the current status of home health nursing in Korea. Methods: Korean research data, national statistical data, government press releases, and related laws were investigated to clarify the role of hospital-based home health nursing in community care. Results: Korean visiting medical care services, including hospital-based home health nursing, was not found to be sufficient nationwide. The supply of home health nursing did not increase due to the nature of the visiting services that required transportation time, poor profitability due to insufficient insurance fees, and increase in acute beds. Conclusion: The nature of the Korean medical environment and visiting medical care makes it challenging to establish a visiting medical supply system for community care. Therefore, hospital-based home health nursing is an important infrastructure for visiting medical care, and will be a valuable resource to link discharged patients returning to the community when moving health care services. Hence, laws and institutional supplementation to expand the role of home health nursing agencies nationwide are needed along with addressing the limitations in the supply of home health nurses.

• Health Policy and Management
• /
• v.33 no.3
• /
• pp.295-310
• /
• 2023

Background: The long-term care (LTC) group has higher rates of chronic disease and disability registration compared to the general older people population. There is a need to provide integrated medical services and care for LTC group. Consequently, this study aimed to identify medical usage patterns based on the ratings of LTC and the characteristics of benefits usage in the LTC group. Methods: This study employed the National Health Insurance Service Database to analyze the effects of demographic and LTC-related characteristics on medical usage from 2015 to 2019 using a repeated measures analysis. A longitudinal logit model was applied to binary data, while a linear mixed model was utilized for continuous data. Results: In the case of LTC ratings, a positive correlation was observed with overall medical usage. In terms of LTC benefit usage characteristics, a higher overall level of medical usage was found in the group using home care benefits. Detailed analysis by medical institution classification revealed a maintained correlation between care ratings and the volume of medical usage. However, medical usage by classification varied based on the characteristics of LTC benefit usage. Conclusion: This study identified a complex interaction between LTC characteristics and medical usage. Predicting the requisite medical services based on the LTC rating presented a challenge. Consequently, it becomes essential for the LTC group to continuously monitor medical and care needs, even after admission into the LTC system. To facilitate this, it is crucial to devise an LTC rating system that accurately reflects medical needs and to broaden the implementation of integrated medical-care policies.