• Journal of Korean Biological Nursing Science
• /
• v.15 no.4
• /
• pp.164-172
• /
• 2013

Purpose: The aim was to measure the real-time trans-mission effect of blood-pressure and blood-glucose value based on u-healthcare for saving the time and effort of nursing recording time. Methods: This study used a u-healthcare system based on the international standards for the exchange of health information. In order to verify the effectiveness of the u-healthcare, a clinical trial for the system regarding blood-pressure and blood-glucose targeting of patients with endocrine disorders at KNUH from February 7 to 9, 2012 was performed. Results: According to the analyzed results, of the 86 times the 11 patients were tested, measuring blood-pressure and blood-glucose using the u-healthcare system, we found the time differences between the real-time transfer recording method and existing hospital records that were used in the hospital. Based on the average time interval, there was a difference of 1,090.45 seconds (18.17 minutes). Conclusion: Therefore, it's cumbersome that nurses in the hospital have to record the numerical values of the measured blood-pressure and blood-glucose manually and input the recorded values directly into the electronic nursing record system. However, it was found in terms of the newly designed system, that it could save time and effort for nurses, since measured information is sent to the hospital information system on a real-time basis.

• Health Policy and Management
• /
• v.31 no.4
• /
• pp.491-507
• /
• 2021

Background: This study aims to measure regional healthcare differences in Korea, and define relatively underserved areas. Methods: We employed position value for relative comparison index (PARC) to measure the healthcare status of 250 areas using 137 indicators in five following domains: healthcare demand, supply, accessibility, service utilization, and outcome. We performed a sensitivity analysis using t-SNE (t-distributed stochastic neighboring embedding). Results: Based on PARC values, 83 areas were defined as relatively underserved areas, 49 of which were categorized as moderate and 34 as severe. The provincial regions with the most underserved areas were Gyeongbuk (16 areas), Gangwon (13), Jeonnam (13), and Gyeongnam (12). Conclusion: This study suggests a relative comparison approach to define relatively underserved areas in healthcare. Further studies incorporating various perspectives and methods are required for policy implications.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.17 no.4
• /
• pp.1080-1099
• /
• 2023

Digital healthcare combined with telemedicine services in the form of convergence with digital technology and AI is developing rapidly. Digital healthcare research is being conducted on many conditions including shock. However, the causes of shock are diverse, and the treatment is very complicated, requiring a high level of medical knowledge. In this paper, we propose a shock detection method based on the correlation between shock and data extracted from hemodynamic monitoring equipment. From the various parameters expressed by this equipment, four parameters closely related to patient shock were used as the input data for a machine learning model in order to detect the shock. Using the four parameters as input data, that is, feature values, a random forest-based ensemble machine learning model was constructed. The value of the mean arterial pressure was used as the correct answer value, the so called label value, to detect the patient's shock state. The performance was then compared with the decision tree and logistic regression model using a confusion matrix. The average accuracy of the random forest model was 92.80%, which shows superior performance compared to other models. We look forward to our work playing a role in helping medical staff by making recommendations for the diagnosis and treatment of complex and difficult cases of shock.

• Journal of Animal Environmental Science
• /
• v.18 no.2
• /
• pp.85-90
• /
• 2012

In Korea, livestock has grown into the most value-added business in the agricultural and forest industry. But due to the recent outbreak of deadly infectious diseases such as foot-and-mount disease and avian influenza (AI), the demand for IT-enabled cutting-edge management system is getting stronger. As for humans, pilot projects and researches concerning U-healthcare have been carried out since early 2000. So this study explored the current progress of U-healthcare introduction, and suggested the strategies to develop technologies of collecting, processing, and utilizing information; to apply elements for a service model development and prioritization; to provide policy and institutional support. Therefore it is expected to vitalize the livestock U-healthcare in the future through continuous study based on these results.

• Health Policy and Management
• /
• v.27 no.1
• /
• pp.84-87
• /
• 2017

Catastrophic healthcare expenditure refers to out-of-pocket spending for healthcare exceeding a certain proportion of a household's income and can lead to subsequent impoverishment. The aim of this study was to investigate the proportion of South Korean households that experienced catastrophic healthcare expenditure between 2006 and 2015 using available data from the Korea Health Panel, National Survey of Tax and Benefit, and Household Income and Expenditure Survey. Frequencies and trend tests were conducted to analyze the proportion of households with catastrophic healthcare expenditure. Subgroup analysis was performed based on income level. The results of the Household Income and Expenditure Survey revealed that around 2.88% of households experienced catastrophic healthcare expenditure in 2015 and that this proportion was highest in the low income group. Results also showed a statistically significant increasing trend in the number of households with catastrophic healthcare expenditure (annual percentage change= 0.92%, p-value < 0.0001). Therefore, the findings infer a need to strengthen public health care financing and to particularly monitor catastrophic healthcare expenditure in the low income group.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.12
• /
• pp.5107-5110
• /
• 2014

Background: The incidence rate of thyroid cancer has been increasing worldwide in recent years, and it is also the most prevalent cancer when it comes to the number of patients among Korean women. With it, ultrasonographic screening test has also become very common. However, there is still controversy over the performance of this screening test. Therefore, the National Evidence-based Healthcare Collaborating Agency (NECA) organized a Round-table Conference on the issues regarding ultrasonographic screening for thyroid cancer in Korea. The objective of the conference was mainly about delivering worthwhile information reflecting social value for the current situation, which was based on evidence surrounding thyroid cancer screening that relevant experts investigated and agreed on. The significance of this Round-table Conference lies in the fact that we reviewed the current evidence, and we were able to discuss the social value and future direction for ultrasonographic screening in Korea.

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

• The Korean Journal of Health Service Management
• /
• v.10 no.4
• /
• pp.153-165
• /
• 2016

Objectives : Recently, concern about the ubiquitous healthcare industry has increased worldwide. This study estimated the economic effects of the ubiquitous healthcare industry by Input-Output Analysis. Methods : In this study, $384^*384$ sector statistics of the Bank of Korea were used as the initial analysis tool, after adjustments, $9^*9$ sector statistics were used as the major research method for that industry. The main analysis tools of this study included a comparison of the backward and forward linkage effects, as well as the induced effects of the self-industry and other industries and the induced coefficients including products, value-added, employee's pay, sales surplus, and employment. Results : Based on the results of the analysis, the ubiquitous healthcare industry has great economic impacts which affects major macroeconomic factors including production and the backward linkage effect. Additionally, the induced effects of the self-industry, the ubiquitous healthcare industry, are significant compared to other industries in terms of production, employee's pay and operating surplus. Conclusions : The ubiquitous healthcare industry is a growth engines for national development. This paper offers alternatives for efficient industrial policies.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.5
• /
• pp.91-98
• /
• 2023

This study is an exploratory research on smart healthcare services, specifically focusing on a multi-channel CCR based healthcare service system. The study examines the overview and operational principles of the service system, highlighting the significance of user communication and its role in the system's functionality. Furthermore, the study investigates the impact of service quality on user satisfaction and intention to continue using the service. To achieve this, a structural equation modeling(SEM) analysis was conducted with a sample of 188 users who owned and utilized healthcare devices and apps. The results indicate that service quality dimensions (reliability, responsiveness, empathy, assurance, and tangibility) all had a positive influence on user satisfaction. Additionally, user satisfaction was found to have a significant impact on intention to continue using the service. The findings of this study contribute to exploring the effectiveness and potential value of CCR-based smart healthcare services. It was also provided insights for the future development of smart healthcare systems that offer accurate health information and personalized services for individual health management and prevention.

• Korean Journal of Artificial Intelligence
• /
• v.8 no.1
• /
• pp.1-6
• /
• 2020

The Recently there has been a growing interest in health care due to the COVID-19 situation. In this paper, we intend to develop a healthcare monitoring system to provide users with smart healthcare systems in line with the healthcare 3.0 era. The system consists of a wireless network between various sensors, Android smartphones, and OLEDs using Bluetooth, and through this, a health care monitoring system capable of collecting user's biometric information and managing health by receiving data values of sensors connected to Arduino. In conclusion, the user's BPM value was calculated using the heart rate sensor, and the exercise intensity can be adjusted through this. In addition, a step derivation algorithm is implemented using an acceleration sensor, and calorie consumption can be measured using the step and weight values. As such, the heart rate, step count, calorie consumption data can be transmitted to a smartphone application through a Bluetooth module and output, and can be output to an OLED for users who are not easy to access the smartphone. This healthcare monitoring system can be applied to various groups and technologies.