• Journal of Service Research and Studies
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• v.13 no.4
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• pp.113-130
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• 2023

This study is a single case study of the application of service design in a regional emergency medical centre of a senior general hospital, focusing on the experiences of patients and medical staff. It aims to measure and improve the experience of healthcare services using service design techniques and to verify their effectiveness. A qualitative case study centred on ethnography and design workshops was conducted to collect in-depth experience data from patients and medical staff. The study identified key experiential differences between patients and healthcare workers, with a particular focus on the challenges faced in emergency medical services. The qualitative data collected through patient and healthcare worker interviews and design thinking workshops were analysed and incorporated into the design in order to understand the complex dynamics of the regional emergency medical centre environment. The results of the study highlighted the need to improve communication, manage patient flow, and improve the environment in three main aspects of the current state of design reflecting the needs of patients and medical staff. By analysing the differences in the specific needs of the two groups of patients and medical staff, a design-led implementation process can be applied to improve the services of the regional emergency medical centre. This study highlights the role and importance of design in healthcare and provides an efficient way to bridge the gap between theoretical research and practical design implementation. This will contribute to creating a faster, more effective, and more satisfying healthcare experience. It is hoped that this will be a new opportunity to see service design as a key to a new innovation process for the satisfaction of both patients and medical staff.

• Journal of Intelligence and Information Systems
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• v.23 no.1
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• pp.69-93
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• 2017

The development of ICT has leaded the diversification and changes of supplies and demands in markets. It also caused the creations of a variety of values which are differentiated from those in the existing market. Therefore, a new-type market is created, which can include multi-value chains which are from ICT-based created markets as well as the existing markets. We defined the platform as the new-type market. In the platform, the multi-value chains can be coexisted with multi-values. In true market, when a new-type value chain entered into an existing market, it is general that it can be conflicted with the existing value chain in the market. The conflicted problem among multi-value chains in a market is caused by the sharing of limited market resources like suppliers, consumers, services or products among the value chains. In other words, if there are multi-value chains in the platform, then it is possible to have conflictions, overlapping, creations or losses of values among the value chains. To solve the problem, we introduce coexistence factors to reduce the conflictions to reach market equilibrium in the platform. In the other hand, it is possible to lead the creations of differentiated values from the existing market and to augment the total market values in the platform. In the early era of ICT development, ICT was introduced for improvement of efficiency and effectiveness of the value chains in the existing market. However, according to the changed role of ICT from the supporter to the promotor of the market, ICT became to lead the variations of the value chains and creations of various values in the markets. For instance, Uber Taxi created a new value chain with ICT-based new-type service or products with new resources like new suppliers and consumers. When Uber and Traditional Taxi services are playing at the same time in Taxi service platform, it is possible to create values or make conflictions among values between the new and old value chains. In this research, like Uber and traditional taxi services, if there are conflictions among the multi-value chains, then it is necessary to minimize the conflictions in the platform for the coexistence of multi-value chains which can create the value-added values in the platform. So, it is important to predict and discuss the possible conflicted problems between new and old value chains. The confliction should be solved to reach market equilibrium with multi-value chains in the platform. That is, we discuss the possibility of the coexistence of multi-value chains in the platform which are comprised of a variety of suppliers and customers. To do this, especially we are focusing on the healthcare markets. Nowadays healthcare markets are popularized in global market as well as domestic. Therefore, there are a lot of and a variety of healthcare services like Traditional-, Tele-, or Intelligent- healthcare services and so on. It shows that there are multi-suppliers, -consumers and -services as components of each different value chain in the same platform. The platform can be shared by different values that are created or overlapped by confliction and loss of values in the value chains. In this research, as was said, we focused on the healthcare services to show if a platform can be shared by different value chains like traditional-, tele-healthcare and intelligent-healthcare services and products. Additionally, we try to show if it is possible to increase the value of each value chain as well as the total value of the platform. As the result, it is possible to increase of each value of each value chain as well as the total value in the platform. Finally, we propose a coexistence model to overcome such problems and showed the possibility of coexistence between the value chains through experimentation.

• Health Policy and Management
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• v.27 no.1
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• pp.88-94
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• 2017

The aim of this study was to investigate the current and trend of healthcare status of South Korea compared to Organization for Economic Cooperation and Development (OECD) countries. We used the position value for relative comparison (PARC) method for measuring the healthcare status of South Korea by five parts of healthcare policy (demand, supply, accessibility, quality, and cost). Additionally, we conducted Mann-Kendall test for analyzing the trend of PARC from 2000 to the present. Demand, supply, accessibility, and quality of healthcare of Korea were located upon the average of OECD countries, and showed an increasing trend from 2000 to the present. However, primary care and screening for cervical cancer were placed at a lower level compared the OECD average. In conclusion, the current state of healthcare in Korea seems to be generally beyond the average among OECD countries. However, some parts, including primary care, need to be improved.

• Proceedings of the KAIS Fall Conference
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• 2009.12a
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• pp.942-945
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• 2009

경제적 성장과 더불어 의료서비스에 대한 국민들의 욕구는 지속적으로 증가하고 있다. 현 상황에서 각 병원들은 의료서비스 뿐만 아니라 의료 외적인 특화서비스를 제공함으로써 다수의 충성고객을 확보하고자 한다. 따라서, 환자 충성도와 의료 외적인 특화서비스의 상관관계는 집중적인 관심이 요구 되고 있다. 이에 본 연구에서는 서울소재 일개 3차병원 한 곳의 병원을 이용하는 고객들을 대상으로 의료서비스에 대하여 설문조사를 통하여 파악하고자 하였다. 조사결과 환자들의 특화서비스에 대한 만족도 여부와 충성도는 서로 상관관계가 있는 것으로 볼 수 있었다. 특히 충성도가 낮은 집단으로부터 특화서비스에 대한 만족도가 낮은 서비스가 있었기 때문에, 충성도가 낮은 고객들에 대해 서비스를 강화하고 보다 상세하게 불만족의 요인을 파악하기 위한 연구가 이루어져야 할 것이다.

• Health Policy and Management
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• v.28 no.1
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• pp.98-103
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• 2018

This study aims to evaluate the status of Korean healthcare among Organization for Economic Cooperation and Development countries and to monitor the trend of health care status since 2000. The position value for relative comparison (PARC) index was selected to gauge the level of healthcare status in demand, supply, accessibility, quality, and cost as per healthcare policy aspects. The Mann-Kendall test was conducted to allocate healthcare status of Korea since 2000. The PARC values indicate strength and weakness of Korean healthcare system by the mathematical comparisons. Korea positioned higher in demand, supply, accessibility, and quality. Yet, there are shortages in human resources and primary care. In conclusion, we suggest utilizing this study provides evidence to prioritize health care problems that can lead to establishing healthcare policy.

• Health Policy and Management
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• v.29 no.3
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• pp.248-261
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• 2019

Establishing a healthcare delivery system is key to building a cost-effective healthcare system that can prevent the waste of healthcare resources and increase efficiency. Recently, the rapid increase in the national medical expenditures due to the aging of the population and the increase in chronic diseases has raised the question about the sustainability of the healthcare system including the health insurance system. This is why we need to reform the medical delivery system, including the function setting of medical institutions. Accordingly, gradual and practical efforts based on the recognition of reality are needed for solving the problems and improving the medical delivery system. The first effort is to secure policy measures to establish functions and roles of medical institutions which are the basis of the healthcare delivery system, and a systematic medical use system for appropriate medical use. This approach can be achieved through a reasonable health insurance schemes. Without reasonable reform efforts, it will be difficult for Korea's health care system to develop into a system that can provide cost-effective and high-quality medical services that the people want.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.1030-1034
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• 2009

IPv6 and Ubiquitous Healthcare Environment (UHE) has become a main stream of the next generation technologies. IPv6 is designed in many ways with enhanced features such as a routing, mobility, scalability, QOS and security as a replacement of IPv4. Also, UHE is developed to provide patients with convenience and efficient healthcare services using the remote home healthcare system. However, IPv4 currently used as an Internet protocol does not have enough capability to fully support UHE. It may result in a restricted implementation of UHE. As a result, research on IPv6 implementations in UHE is increasingly becoming an issue within the healthcare industry. IPv6 has enhanced features to implement the remote healthcare system such as Neighbour Discovery process and address auto-configuration. In this paper, a basic of IPv6 and UHE will be firstly introduced and secondly, benefits brought by IPv6 in UHE will be discussed. In addition, security issues in IPv6 will be analysed to conclude this paper.

• Research in Community and Public Health Nursing
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• v.32 no.1
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• pp.95-106
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• 2021

Purpose: The purpose of this study is to investigate the association between unmet healthcare needs due to financial reasons and catastrophic health expenditures. Methods: This study used secondary data from the 2014~2015 Korean Health Panel survey. The subjects of this study were 21,495 people aged 20 or older, and of them, there were 16,227 people aged 20 to 64 and 5,268 people aged 65 or older, which were surveyed between 2014 and 2015. The association between unmet healthcare needs due to financial reasons and catastrophic health expenditures was analyzed through logistic regression. Results: In 2015, 1.7% of people aged 20~64 years and 7.9% of those aged 65 or older experienced unmet healthcare needs due to financial reasons. In the 20~64 age group, people who repeatedly experienced catastrophic health expenditures (=10%,=20%) were less likely to experience unmet healthcare needs due to financial reasons than those who did not experience catastrophic health expenditures for two years (OR=0.50, OR=0.41). However, in the 65-or-older group, people who repeatedly experienced catastrophic health expenditures (=20%) were more likely to experience unmet healthcare needs due to financial reasons than those who did not experience catastrophic health expenditures for two years (OR=1.68). Conclusion: A greater percentage of the elderly repeatedly faced both catastrophic health expenditures and unmet healthcare needs due to financial reasons compared to the non-elderly.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.4
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• pp.2060-2077
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• 2019

Recently, mobile healthcare services have attracted significant attention because of the emerging development and supply of diverse wearable devices. Smartwatches and health bands are the most common type of mobile-based wearable devices and their market size is increasing considerably. However, simple value comparisons based on accumulated data have revealed certain problems, such as the standardized nature of health management and the lack of personalized health management service models. The convergence of information technology (IT) and biotechnology (BT) has shifted the medical paradigm from continuous health management and disease prevention to the development of a system that can be used to provide ground-based medical services regardless of the user's location. Moreover, the IT-BT convergence has necessitated the development of lifestyle improvement models and services that utilize big data analysis and machine learning to provide mobile healthcare-based personal health management and disease prevention information. Users' health data, which are specific as they change over time, are collected by different means according to the users' lifestyle and surrounding circumstances. In this paper, we propose a prediction model of user physical activity that uses data characteristics-based long short-term memory (DC-LSTM) recurrent neural networks (RNNs). To provide personalized services, the characteristics and surrounding circumstances of data collectable from mobile host devices were considered in the selection of variables for the model. The data characteristics considered were ease of collection, which represents whether or not variables are collectable, and frequency of occurrence, which represents whether or not changes made to input values constitute significant variables in terms of activity. The variables selected for providing personalized services were activity, weather, temperature, mean daily temperature, humidity, UV, fine dust, asthma and lung disease probability index, skin disease probability index, cadence, travel distance, mean heart rate, and sleep hours. The selected variables were classified according to the data characteristics. To predict activity, an LSTM RNN was built that uses the classified variables as input data and learns the dynamic characteristics of time series data. LSTM RNNs resolve the vanishing gradient problem that occurs in existing RNNs. They are classified into three different types according to data characteristics and constructed through connections among the LSTMs. The constructed neural network learns training data and predicts user activity. To evaluate the proposed model, the root mean square error (RMSE) was used in the performance evaluation of the user physical activity prediction method for which an autoregressive integrated moving average (ARIMA) model, a convolutional neural network (CNN), and an RNN were used. The results show that the proposed DC-LSTM RNN method yields an excellent mean RMSE value of 0.616. The proposed method is used for predicting significant activity considering the surrounding circumstances and user status utilizing the existing standardized activity prediction services. It can also be used to predict user physical activity and provide personalized healthcare based on the data collectable from mobile host devices.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.221-228
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• 2017

With the recent development of IoT technology, medical services using IoT technology are increasing in many medical institutions providing health care services. However, as the number of IoT sensors attached to the user body increases, the healthcare information transmitted to the server becomes complicated, thereby increasing the time required for analyzing the user's healthcare information in the server. In this paper, we propose a deep learning based health care information management method to collect and process healthcare information in a server for a large amount of healthcare information delivered through a user - attached IoT device. The proposed scheme constructs a subnet according to the attribute value by assigning an attribute value to the healthcare information transmitted to the server, and extracts the association information between the subnets as a seed and groups them into a hierarchical structure. The server extracts optimized information that can improve the observation speed and accuracy of user's treatment and prescription by using deep running of grouped healthcare information. As a result of the performance evaluation, the proposed method shows that the processing speed of the medical service operated in the healthcare service model is improved by 14.1% on average and the server overhead is 6.7% lower than the conventional technique. The accuracy of healthcare information extraction was 10.1% higher than the conventional method.