• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.406-409
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• 2022

In recent years, the developments in technologies, such as AI systems, Blockchain, VR/AR, 3D printing, robotics, and nanotechnology, are reshaping the future of healthcare right before our eyes. And also, healthcare has seen a paradigm shift towards prevention-oriented medicine, with a focus on consumers requirements. The spread of infectious diseases such as Covid-19 have altered the definition of healthcare and treatment facilities, necessitating immediate action to redesign hospitals' physical environments, adapt communication models to address social distancing requirements, implement virtual health solutions, and establish new clinical protocols. Hospitals, which have traditionally served as the hub of healthcare systems, are pursuing or being forced to reestablish themselves against this landscape. Rather than only treating ailments, future healthcare is predicted to focus on wellness and prevention. In personalized care, long-term prevention strategies, remote monitoring, early diagnosis, and detection are critical. Given the growing interest in smart healthcare defined by these modern technologies, this study looked into the definitions and service kinds of smart healthcare. The background and technical aspects of smart hospitals were also explored through a literature review.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.3
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• pp.147-156
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• 2024

This paper introduces the design of a turtle neck posture correction and prevention system for users of digital devices for a long time. The number of forward head posture patients in Korea increased by 13% from 2018 to 2021, and has not yet improved according to the latest statistics at the present time. Because of the nature of the disease, prevention is more important than treatment. Therefore, in this paper, we designed a system based on built-camera in most laptops to increase the accessiblility of the system, and utilize the features such as Pose Estimation, Face Landmarks Detection, Iris Tracking, and Depth Estimation of Google Mediapipe to prevent the need to produce artificial intelligence models and allow users to easily prevent forward head posture.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.665-672
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• 2013

In radiology department, where patients with a variety of diseases receive their tests, there is a large possibility of cross contamination of nosocomial infection. Magnetic resonance imaging (MRI) tests take particularly more time than other tests do, which increases the possibility of being exposed to cross contamination. Therefore, this research examines the status of MRI equipment sterilization and investigates the bacterial distribution on head coils, which have the most frequent contact with patients, patient fixation blocks, and bores, which are confined spaces. The status of MRI equipment disinfection was examined by a survey targeting 150 employees, and the distribution of bacteria was measured in ten medical facilities. The result of bacterial distribution tests on MRI equipment showed various bacteria, including Staphylococcus, Acinetobacter, Sphingomona, Pantoea agglomeranss, Micrococcus, Bacillus, Saprophyticus, Brevundimona, and Myroidesspecies. The result of examining the stat us of MRI room disinfection showed that the disinfections of the head coil, block, and bore were implemented well, and the largest proportion was carried out once a day in the morning. The time and implementation of disinfection by the disinfection manager showed that they were implemented well when the manager was the MRI room examiner. The disinfection after examining a patient using an appropriate disinfectant is mandatory to prevent cross contamination.

• Journal of Digital Convergence
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• v.13 no.11
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• pp.149-156
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• 2015

Due to a change of food culture, many patients suffering from various diseases such as hypertension, heart disease, stroke, cancer. However, it takes a long time in the hospital for many patients due to the administration before the patient care process. In this paper, we propose a m-Healthcare service model that patients can receive medical services without the inconvenience offers by reducing the administrative hospital treatment that can automatically recognize through the hospital installed RFID readers when the patient patients with various diseases are foreign to the hospital. In particular, the proposed model improves the operational efficiency of the existing healthcare system by shortening the treatment time for medical personnel to help patients in emergency situations can determine automatically the patient's status does not give the disease type and condition of the patient to health care personnel. Test results, service latency, efficiency, etc. patient satisfaction, and evaluate the existing health care system model results, the proposed method was improved service delay existing techniques average 16.5% efficiency was higher 27% of patients service satisfaction was improved by 22.4% on average.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.375-385
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• 2015

This study aims to identify geographical variations and factors that affect smoking rates. The data are collected from the Community Health Survey conducted between 2009 and 2011 by Korea Centers for Disease Control and Prevention and other government organizations. Correlation and multiple regression analysis were used to examine the factors influencing smoking rates. For the purpose of investigating regional variations, we employed a decision tree model. The study has found that the significant factors associated with geographical variations in the smoking rates were the rate of hazardous drinking, the completion rate of hypertension education, the experience rate of anti-smoking campaigns, stress awareness rate, hypertension prevalence, health insurance cost, diabetes prevalence, obesity rate, and strength training rate. Convergence-based analysis on geographical variations of the smoking rates is highly important when the regionally customized healthcare programs is implemented. In the future, it is necessary to develop effective program and customized approach for the regions of high smoking rates. Our study is expected to be used as meaningful data for the design of effective health care programs and assessments to lead effective non-smoking program.

• Journal of Digital Convergence
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• v.10 no.3
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• pp.219-225
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• 2012

This study is analyzed the implementation of medical aid for patients over 65 years of age who are among the discharged from hospitals with the capacity of over 100 beds. I have analyzed it with the data from an in-depth study of injury surveillance of discharged patients from hospitals done in a national project in 2004. After analyzing the results of the data from the beginning of this national project to the data collected in 2008, I could get the results that the rate of discharged patients over 65 years of age increased every year. Among them, the rate of discharged women was higher than that of the men, and the rate of deaths while at the hospital for patients over 65 years of age was higher than that of patients less than 65 years of age. The rate of operations done on patients over 65 was lower than that of patients under 65 years of age. The results of a diagnosis of popular symptoms showed that the rate of the diagnosis of cerebral infraction and structure of the heart at the circulatory organ was higher. In addition, the rate of the diagnosis of lung cancer, pneumonia, and chronic obstructive lung disease was higher, as well as the rates of gastric cancer, diabetes, liver cancer, and colorectal cancer. The results showed that the operation of the nerve system or cardiovascular system were higher. Therefore, according to this result, we should prioritize and allocate resources to the elderly people when setting up a management policy. And also, we should promote healthcare for elderly people after considering the characteristics of the implementation of medical aid in preparation of a super-aged society.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.347-352
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• 2012

As medical treatment is developing with technology, the men's average life expectancy is extended. Therefore, primary medical care becomes emphasized in order to reduce the medical expenses in the long term by satisfying individual's life being healthy. The date for this thesis was collected from January 2011 to June 2011. 889 patients who visited the university hospital emergency room and hospitalized in internal medicine, were picked as the research subjects and they were targeted to be recorded the distribution of chief complaint and principal diagnosis of the patients. Also, this record was used to apply to the standard Classification of Diseases(as known as ICD) and the method of detailed classification of the primary medical care(as known as ICPC) to compare each other. In order to analysis, frequency analysis was used to see vital statistics and the cross tabulations were used to see the distribution of chief complaint according to ICD and ICPC. Results of the research were Abdominal pain(17.7%), Dyspnea(13.5%), Fever (12.5%), and Haematemesis (9.8%), and those symptoms represented the 54.5% of overall chief complaints that is treated in primary care. Therefore, it is acceptable to use the classification of the primary medical care at doc-in-a-box. Also, in case of diagnosis of abdominal pain, it is classified to R10 in ICD and 116 patients(18.7%) belonged to it, but according to ICPC, it is subdivided to Epigastric(11.5%) and General(5.8%). ICPC classification, which is focused to primary medical care is more detailed than ICD classification. Because the data that is collected for this thesis is from only one hospital, it is hard to represent to all the cases, but ICPC in emergency medical care, it has more classification available and it can subdivide the patients effectively, so it is meaningful.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.373-382
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• 2012

With the paradigm shifts towards consumer-centered health service, it is expected that more health care consumers will keep their health information and manage their own health in the future. Thus, this study was conducted to compare "Understanding", "Utilization" and "Management" of Personal Health Record(PHR) between medical users(healthcare students) and health care providers(medical students). We collected data from 208 health and medical students via using self-reported questionnaires form April to June, 2011. The collected data were analyzed using frequency, t-test, Chi-square on SPSS 19.0 version. There was no significant difference in "Understanding" of PHR between two groups. Looking at the order of the importance of PHR contents, two groups equally emphasized medical records, surgical history, and test results. There was significant difference in both time and effectiveness of PHR(p=0.02). Intergrated type of PHR was preferred by both groups. Recently, PHR reflects needs and demands of users more than ever. However there are many limitations to promote the utilization. In the future, it is necessary to implement targeted strategies for the elderly groups and specific types of disease.

• Journal of Digital Convergence
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• v.16 no.5
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• pp.153-162
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• 2018

The technology of mobile healthcare is steadily growing, but acceptance of consumers is sluggish. Various studies related to mobile healthcare have been conducted, but studies on the characteristics of prisoners are lacking. Therefore, in this study, we examined the effect of diffusion factors of mobile health care on the intention to use, and examined the moderating effect of innovation propensity. The results show that the relative advantage, compatibility, observability, and usefulness of mobile health care affect the intention to use. In addition, the innovation propensity has a moderating effect on the influence of complexity, trialability, and usafulness on intention to use. This study suggests that the use of the concept of innovation propensity has been confirmed as a major control variable in the relationship between innovation diffusion factors and utilization intention. In addition, it suggests that consumers' innovation tendency is a factor to be taken into consideration for suppliers of mobile healthcare.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.147-157
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• 2018

Since Google launched a prediction service for influenza-like illness(ILI), studies on ILI prediction based on web search data have proliferated worldwide. In this regard, this study aims to build short-term predictive models for ILI in Korea using ILI and web search data and measure the performance of the said models. In these proposed ILI predictive models specific to Korea, ILI surveillance data of Korea CDC and Korean web search data of Google and Naver were used along with the ARIMA model. Model 1 used only ILI data. Models 2 and 3 added Google and Naver search data to the data of Model 1, respectively. Model 4 included a common query used in Models 2 and 3 in addition to the data used in Model 1. In the training period, the goodness of fit of all predictive models was higher than 95% ($R^2$). In predictive periods 1 and 2, Model 1 yielded the best predictions (99.98% and 96.94%, respectively). Models 3(a), 4(b), and 4(c) achieved stable predictability higher than 90% in all predictive periods, but their performances were not better than that of Model 1. The proposed models that yielded accurate and stable predictions can be applied to early warning systems for the influenza pandemic in Korea, with supplementary studies on improving their performance.