• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.15 no.4
• /
• pp.153-159
• /
• 2015

With information technology and health care, efficient health data management provides various health services. Health data from hospitals patients and healthy persons use stacked up enables to trace health condition and to manage health effectively and to reduce healthcare cost. In this paper, we design and implement a framework for relaying health data from various hospitals to cloud storage for manage health condition. For efficient authentication of the framework with cloud storage, OAuth2 protocal is adopted. The proposed health data relay framework can be used for developing various health services with the stacked data in the cloud storage.

• Korean Journal of Health Education and Promotion
• /
• v.20 no.1
• /
• pp.19-39
• /
• 2003

Purpose: Although there is a lot of secondary data available for comparing community health status and planning health policies in terms of large area such as metropolitan cities or provinces, there is restricted data for establishing community health policies of the small areas such as towns, Gun(i.e., districts), and Gu. Specifically, the problems of producing a valuable index for health promotion in small areas are three fold: First, there is not an appropriate index model for measuring a small community health status. Second, a large part of secondary data in the small areas has been produced in an irregular time interval. In addition, all valuable data can not be integrated without time consuming work. Thus this study tries to establish a health promotion index model for assisting community health promotion initiatives of local governments. Methods and materials: Literature review, community health specialist consultation and a questionnaire survey was performed. Results: Based on Dever's model, a prototype of health promotion indicators was proposed and modified by the community health specialists. 15 classification scheme of statistical yearbook reorganized into the six areas. Those six areas were comprised in 24 indicator class with 96 specific indicators. Through further modification processes by a questionnaire survey, we developed a health promotion indicator model that contains six areas with 23 indicator class encompassed by 87 specific indicators. Conclusions: This study proposed a model of health promotion indicator comprised in the six areas with 23 indicator classes for measuring small area health promotion status. However, more specific or additional data in human biology, environment, and socioeconomic data is essential for producing a stronger model for health promotion measurement.

• The Journal of Health Technology Assessment
• /
• v.6 no.2
• /
• pp.81-87
• /
• 2018

With the recent change of healthcare environment including rapid technological development, evidences are more and more important and necessary to support relevant policies in health technology assessment to provide safe and effective health services, utilizing medical resources efficiently. Despite of the emphasis on the importance of real world data and real world evidence in health care research, current infrastructure supporting clinical research is considerably weak due to absence of legal and institutional basis. However, in accordance with the Article 26 of the Health and Medical Technology Promotion Act, there is a limited legal apparatus that can be used only in public data with other dataset for the purpose of healthcare technology assessment at the National Evidence-based Collaborating Agency. Although the use of linked data from various sources was often required in the field of clinical research, it was not yet working well due to insufficient environmental conditions. In order to support the decision-making of medical practice and health care policies, data-linking platform for clinical research is needed. If the legal system that can link up to the data of the private institutions without violating the significant value such as the protection of private informations is established, it will be a decisive foundation reinforcing the researches and policy making processes for the improvement of the national health care system.

• Asian Pacific Journal of Cancer Prevention
• /
• v.13 no.4
• /
• pp.1709-1710
• /
• 2012

Cancer is a major public health problem in Indonesia, becoming the 7th largest cause of death based on a national survey in 2007, accounting for 5.7 of all mortality. A cancer registry was started in 1970, but it was partial and was stopped mainly because no government body was responsible. Realizing the above situation, the Indonesian government established the Sub Directorate of Cancer Control within the Ministry of Health, with responsibility for developing a national cancer control program, including a cancer registry. A sustainable cancer registry was then started in 2007 within Jakarta Province, first hospital-based but then expanded to be population-based. Steps of cancer registration in Jakarta are data collection, data verification, data validation, data management and analysis, and data publication. Data collection is conducted by health facilities (hospitals, laboratories, primary health centers) at the district/municipal level, with reports to the provincial level. Data are collected passively by holding meetings every three months in the district/municipality. Verification of data is the responsibility of the medical doctor or pathologist in each data source. Data validation is conducted by a team in the cancer registry, consisting of district/municipal/province health officers, pathologists, and registrars. Data management and analyses are conducted by a cancer registry team at the provincial level, assisted by the national team. We use software named Indonesian Cancer Registry System (SRIKANDI) which is adopted from CanReg4 IARC. Data from the population-based cancer registry in Jakarta Province showed the leading cancers among females in 2005-2007 to be breast cancer, cervical cancer, ovarian cancer, colorectal cancer and among males are bronchus and lung cancer, colorectal cancer, liver cancer, pharyngeal cancer, and prostate cancer. The leading childhood cancers are leukaemia and retinoblastoma.

• Journal of Korean Public Health Nursing
• /
• v.29 no.2
• /
• pp.257-271
• /
• 2015

Purpose: This research examined the trend of school health education, using online research data on health behaviors of adolescents. Then it compared the health perceptions, healthy life practice, and health risk behaviors between students who received health education and students who did not. In addition, it predicted the impact of health education on health risk behaviors of students. Methods: Data from 72,435 participants of this survey were analyzed. Statistical analyses were performed on weighted data using the complex sampling design. Results: In the results of the research, general high schools students had the lowest rate of receiving health education, while sex education was the most actively held throughout the all locations. Next, medium-small cities had the lowest rate of receiving health education. Regarding health risk behaviors, students receiving health education had significantly lower rates of smoking, drinking, and sexual intercourse. Conclusion: This study shows that healthy life practices by students improves with the inclusion of health education, thus indicating that schools should invest in health education. This research generated evidence for the first time in Korea that school health education has a positive impact on health risk behaviors and provides basic data for policy development of school health education.

• Journal of Information Processing Systems
• /
• v.19 no.2
• /
• pp.211-218
• /
• 2023

In order to improve the low accuracy of traditional wireless network health information retrieval methods, a wireless network health information retrieval method is designed based on data mining algorithm. The invalid health information stored in wireless network is filtered by data mapping, and the health information is clustered by data mining algorithm. On this basis, the high-frequency words of health information are classified to realize wireless network health information retrieval. The experimental results show that exactitude of design way is significantly higher than that of the traditional method, which can solve the problem of low accuracy of the traditional wireless network health information retrieval method.

• Tuberculosis and Respiratory Diseases
• /
• v.86 no.1
• /
• pp.23-32
• /
• 2023

Everyone is aware that air and environmental pollutants are harmful to health. Among them, indoor air quality directly affects physical health, such as respiratory rather than outdoor air. However, studies that have examined the correlation between environmental and health information have been conducted with public data targeting large cohorts, and studies with real-time data analysis are insufficient. Therefore, this research explores the research with an indoor air quality monitoring (AQM) system based on developing environmental detection sensors and the internet of things to collect, monitor, and analyze environmental and health data from various data sources in real-time. It explores the usage of wearable devices for health monitoring systems. In addition, the availability of big data and artificial intelligence analysis and prediction has increased, investigating algorithmic studies for accurate prediction of hazardous environments and health impacts. Regarding health effects, techniques to prevent respiratory and related diseases were reviewed.

• Journal of Korean Academy of Nursing Administration
• /
• v.11 no.4
• /
• pp.401-414
• /
• 2005

Purpose: This study was to evaluate the utilization of health care service and to provide supportive data for health care policy making in one urban area in Korea. Method: This study tested the significance of public health service using the database of an university hospital and public health center from Feb. 2000 to Dec. 2004. Data were analyzed by multidimensional analysis and data mining technique and produced the information on the classification of utilization characteristics by main disease and the total cost of use and disease association with the users of the public health center. Results: The Results were as follows: 1) Top 10 diseases in the area accounted for 22.4% of total frequency for the most recent 5 years in university hospital, while 59.0% in public health center. 2) There were significant correlations between university hospital and public health center user's insurance type and place of residence: It showed higher use of public health center for free service beneficiaries residing in Seoul than residents in nearby or local area. The medical insurance types for hospital users were more various than those for public health center users. 3) The use of hospital for patients of hypertension, diabetes mellitus and hyperlipidemia was tended to concentrate in mostly autumn and winter since August 2000, while the cost of using public health center for those patients has been steadily reduced since July 2000. 4) As a result of cluster analysis, there were classified into three homogeneous groups according to the total cost of using public health service, age, and the frequency of use. 5) The association analysis on patients with chronic disease in public health center produced a detailed information on accompanying diseases related to the incidence rate of disease of high frequency due to aging, information on drug abuse and immune disease. Conclusion: The health care policy for local community should be evaluated continuously. And the policy to build an integrated data warehousing by public health indicator system and to enhance the faithfulness of data is required.

• Journal of Digital Convergence
• /
• v.13 no.5
• /
• pp.227-235
• /
• 2015

In order to tackle healthcare expenditure problems that affects a crucial part of government finances world-wide, m-Health emerged as a solution. However, recent poor outcomes of m-Health led to the need for reform in m-Health services. Therefore the purpose of this research is to propose a solution for efficient vital data transmission and storing in m-Health environment as part of such initiative. Methods included development of an efficient system and algorithm for vital data. For results, the compression ratio of the proposed solution was compared and evaluated. Results showed a compression ratio of 30.4. The proposed system is envisioned to contribute to the future vital data monitoring system in m-Health.

• Research in Community and Public Health Nursing
• /
• v.15 no.4
• /
• pp.528-538
• /
• 2004

Purpose: This study was conducted to investigate the level of awareness about health education in the manpower of public health center. in order to suggest a basis data for the development of a job-training program. Method: The subjects were 96 manpowers of public health centers. Data were collected from August 2nd. 2002 to September 20th using a self reported questionnaire survey. The data were analyzed using frequency. percentile and $x^2-test$. Results: The most necessary of health education according to health promotion service is 'quitting smoking' during the adolescent period. The most necessary of health education media according to health promotion service is 'reducing alcohol intake'. The most efficient media of health education is 'beam projector'. The most necessary capacity of health educator is 'planning capacity of health education'. The most necessary support implementing health education is 'manpower supply'. Conclusion: The level of awareness of health education in the manpower of the public health center are expected to provide basic data for developing job-training programs that might improve advanced knowledge and techniques of health education.