• Journal of Korean Academy of Rural Health Nursing
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• v.18 no.2
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• pp.80-91
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• 2023

Purpose: The purpose of the study quantitatively investigates the experience of unmet healthcare service utilization by rural populations in vulnerable areas during the COVID-19 pandemic based on Andersen's behavior model. At the same time, this study attempts to describe the experiences of unmet healthcare service utilization among participants in vulnerable rural areas by analyzing qualitative contents through open-ended question. Methods: Data were collected from October to November 2022 using Qualtrix, a web-based survey platform. A total of 863 participants completed an online survey. Quantitative data were analyzed using 𝑥² test and logistic regression analysis. Qualitative data were analyzed using content analysis. Results: The factors affecting participants' unmet healthcare service utilization were type of residential area and underlying disease. The qualitative analysis identified; four categories and nine sub-categories. Conclusion: Based on these findings, it is necessary to develop a disaster nursing response model according to the type of residential areas and the number of people.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06a
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• pp.112-115
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• 2011

Healthcare is one of the biggest industries that consume IT Infrastructure as a necessity. A reliable reach to secure private information is the essential goal. Most of the healthcare organizations either have their own custom solutions developed or third part CRM software tailored to their needs. This culture satisfies the usability internal to the organization but lacks the ability to provide public access to the users or even to take a step ahead and collaborate with like minded institutes for research and potential growth. Emergence of cloud computing has provided us the opportunity to take a step ahead and build applications available to users on a secure platform, with ability to scale the resources depending on the requirements. The effective use of hybrid and community cloud can create rock solid foundations for healthcare IT Infrastructure. These cloud deployment models not only caters the present needs of healthcare IT Infrastructure but also opens the possibilities to build applications and provide secure and reliable access beyond the limits of organizational boundaries.

• Quality Improvement in Health Care
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• v.24 no.1
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• pp.1-8
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• 2018

Objectives: The post-accreditation management system should be systematic in order to ensure that the accredited hospital continues to strive for patient safety and quality improvement during the accreditation period. In this study, we compare the post-accreditation management system in four countries (the U.S., Australia, Japan, and Korea) and provide suggestions for improving the post-accreditation management system in Korea. Results: All four countries had the post-accreditation management system, and the basic structure of the system in Korea was similar to that of others. However, there were differences in the practical operation processes and the use of the results. In the operation process, Korea's monitoring relies on voluntary reporting by accredited hospitals. In terms of results utilization, analytical feedback to data submitted by the acrredited hospital is not provided in Korea. Conclusions: It is necessary to establish a continuous monitoring system for post-accreditation changes and provide feedback to accredited hospitals. It is also necessary to perform a survey without advance notice and establish a firm legal basis for monitoring.

• Korean Medical Education Review
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• v.22 no.2
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• pp.99-114
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• 2020

The rapid development of artificial intelligence (AI), including deep learning, has led to the development of technologies that may assist in the diagnosis and treatment of diseases, prediction of disease risk and prognosis, health index monitoring, drug development, and healthcare management and administration. However, in order for AI technology to improve the quality of medical care, technical problems and the efficacy of algorithms should be evaluated in real clinical environments rather than the environment in which algorithms are developed. Further consideration should be given to whether these models can improve the quality of medical care and clinical outcomes of patients. In addition, the development of regulatory systems to secure the safety of AI medical technology, the ethical and legal issues related to the proliferation of AI technology, and the impacts on the relationship with patients also need to be addressed. Systematic training of healthcare personnel is needed to enable adaption to the rapid changes in the healthcare environment. An overall review and revision of undergraduate medical curriculum is required to enable extraction of significant information from rapidly expanding medical information, data science literacy, empathy/compassion for patients, and communication among various healthcare providers. Specialized postgraduate AI education programs for each medical specialty are needed to develop proper utilization of AI models in clinical practice.

• Journal of Positioning, Navigation, and Timing
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• v.13 no.1
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• pp.15-23
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• 2024

One of the core keywords in the fourth industrial revolution is convergence, and the convergence of the production, distribution, and consumption processes of services is particularly important. The convergence of user services is underway in various industrial fields including mobile communications, healthcare, mobility, artificial intelligence, etc. In order to offer these converged services efficiently, it is necessary to provide accurate user-centric location information, which can be obtained by employing the global navigation satellite system (GNSS). In addition, as we have entered the post-COVID era, the demand for various fields such as a healthcare, customized tourism services, and aviation services based on accurate location information is exploding. In this paper, we present the results of a case study on the current research trends of GNSS used in telemedicine services and AI & IoT fields, and also analyze these results.

• The Korean Society of Law and Medicine
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• v.17 no.2
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• pp.315-346
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• 2016

With the development of big data processing technology, the potential value of healthcare big data has attracted much attention. In order to realize these potential values, various research using the healthcare big data are essential. However, the big data regulatory system centered on the Personal Information Protection Act does not take into account the aspect of big data as an economic material and causes many obstacles to utilize it as a research purpose. The regulatory system of healthcare information, centered on the primary purpose of patient treatment, should be improved in a way that is compatible with the development of technology and easy to use for public interest. To this end, it is necessary to examine the trends of overseas legal system reflecting the concerns about the balance of protection and utilization of personal information. Based on the implications of the overseas legal system, we can derive improvement points in the following directions from our legal system. First, a legal system that specializes in healthcare information and encompasses protection and utilization is needed. De-identification, which is an exception to the Privacy Act, should also clearly define its level. It is necessary to establish a legal basis for linking healthcare big data to create synergy effects in research. It is also necessary to examine the introduction of the opt-out system on the basis of the discussion on the foreign debate and social consensus. But most importantly, it is the people's trust in these systems.

• The Korean Journal of Health Service Management
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• v.10 no.1
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• pp.39-51
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• 2016

Objectives : This study investigated the health care utilization patterns of workers' compensation insurance(WCI) pneumoconiosis patients with excessively long hospital stays. Methods : The discharge summary data of 3,094 WCI pneumoconiosis patients were analyzed. The study sample was divided into 3 groups based on the length of stay(LOS). Health care utilization patterns were compared among the groups with logistic regression analysis, and the LOS determinants were identified with linear regression analysis. Results : The average LOS of the 222 long stay group patients was 1,448 days. Patients in this group tended to use private general hospitals, were admitted through the emergency room and discharged without the consent of a doctor. Conclusions : Many of the long LOS patients will maintain their inpatient status for the rest of their lives. For quality of life and efficient use of health care resources, policy makers need to establish a policy that enables patients to receive outpatient care in appropriate living conditions outside the hospital.

• Informatization Policy
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• v.21 no.3
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• pp.3-32
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• 2014

Recent developments of smart phone and ICT, and explosive developments of wireless sensor area drive radical changes on traditional health care service. To accommodate the changes, many researchers have studied to expand traditional healthcare service areas including home care for independent living and public care for preventive and collaborative wellness area. This study proposes a research framework for healthcare information technology area based on Mettler and Raptis's(2012) work. Then, the study analyze the research trends in the area based on the framework. The area of monitoring patients health status at home using smart phone, providing innovative healthcare service by out-patients monitoring, and implementing preventive healthcare services are identified most active and emerging research agenda. It is expected that the research framework and implications of this study can assist future research efforts and practical utilization of healthcare information technologies.

• Health Policy and Management
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• v.11 no.3
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• pp.102-120
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• 2001

This paper examines the current situation and major impacts of e-business on healthcare industry: hospital, pharmaceutical, medical device and health-related internet sectors. Of the 137 samples collected with mail survey, the utilization rate of B2C e-commerce is 31.4% and B2B is 13.1%. And 74.5% of respondents remains the first development stage which represents the simple advertisement such as the one-way information offering. The key obstacle of expansion of health care e-commerce turns out to be the illogical and outdated medical-related law and institution. Finally, policy recommendations are proposed based on the evaluation of the current policy implemented by government.

• Journal of Preventive Medicine and Public Health
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• v.53 no.6
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• pp.455-464
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• 2020

Objectives: The distribution of hospitals in Korea is unbalanced in terms of accessibility. Many local public health centers (PHCs) exempt out-of-pocket payments (OOPs) based on local government laws to increase coverage. However, this varies across administrative regions, as many make this exemption for the elderly, while others do not. This study aimed to evaluate the effects of the OOP exemption at local PHCs among elderly individuals. Methods: This study used online data on Korean national law to gather information on individual local governments' regulations regarding OOP exemptions. Individual-level data were gathered from the 2018 Community Health Survey and regional-level data from public online sources. Results: The study analyzed 132 regions and 44 918 elderly people. A statistical analysis of rate differences and 2-level multiple logistic regression were carried out. The rate difference according to whether elderly individuals resided in areas with the OOP exemption was 1.97%p (95% confidence interval [CI], 1.07 to 2.88) for PHC utilization, 1.37%p (95% CI, 0.67 to 2.08) for hypertension treatment, and 2.19%p (95% CI, 0.63 to 3.74) for diabetes treatment. The regression analysis showed that OOP exemption had an effect on hypertension treatment, with a fixed-effect odds ratio of 1.25 (95% CI, 1.05 to 1.48). Conclusions: The OOP exemption at PHCs can affect medical utilization in Korea, especially for hypertension treatment. The OOP exemption should be expanded to improve healthcare utilization in Korea.