• Journal of The Korea Institute of Healthcare Architecture
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• v.7 no.1
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• pp.23-31
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• 2001

In order to improve their hospital services in unlimited competitive situations, the general hospitals, particularly, have since the 1990s been concentrating more on hospital information processing systems and the automation of the patients' convenience. They also give priority to the advance of integrated hospital information systems centred around the patients. Introducing more progressive information technology to already established hospitals, the OPD has been most affected by HIS because there are a lot of patients and doctors. On this background, this study analyse the change of OPD and some related departments around the 1990s with the general hospitals as it's object. It investigates the way of building hospitals and presents some information about the planning of building hospitals.

• ETRI Journal
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• v.41 no.4
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• pp.515-527
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• 2019

This paper discusses the design, implementation, and potential use of an ontology-based mobile pediatric consultation and monitoring system, which is a smart healthcare expert system for pediatric patients. The proposed system provides remote consultation and monitoring of pediatric patients during their illness at places distant from medical service areas. The system not only shares instant medical data with a pediatrician but also examines the data as a smart medical assistant to detect any emergency situation. In addition, it uses an inference engine to infer instant suggestions for performing certain initial medical treatment steps when necessary. The applied methodologies and main technical contributions have three aspects: (a) pediatric consultation and monitoring ontology, (b) semantic Web rule knowledge base, and (c) inference engine. Two case studies with real pediatric patients are provided and discussed. The reported results of the applied case studies are promising, and they demonstrate the applicability, effectiveness, and efficiency of the proposed approach.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.474-475
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• 2013

In healthcare systems, the accuracy of a classifier for classifying medical diseases depends on a reduced dataset. Key to achieve true classification results is the reduction of data to a set of optimal number of significant features. The initial step towards data reduction is the integration of heterogeneous data sources to a unified reduced dataset which is further reduced by considering the range of values of all the attributes and then finally filtering and dropping out the least significant features from the dataset. This paper proposes a three step data reduction model which plays a vital role in the classification process.

• Journal of Society of Preventive Korean Medicine
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• v.19 no.3
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• pp.67-75
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• 2015

Objective : In South Korea, there are two kinds of medical systems that have Western medical institution and Korean medical institution. Patients who use medical services have different satisfaction in this environment. This study explores the satisfaction difference of korean/western medical services. Method : The data for this study were collected through a self-administered survey to 680 subject from patients who use medical services. frequency analysis, factor analysis, t-test, ANOVA were used for the statistical analysis. Results : The result of factor analysis, three factors were extracted. That was Information, Environment, Human services. Overall, the satisfaction scores of Korean medical service was higher than western medical service. Especially the human service satisfaction of the korean clinic was higher than western clinic. Conclusion : The satisfaction score of korean/western medical services is different. It is necessary to develop the medical management strategy and medical policy including korean medical system.

• Journal of Biomedical Engineering Research
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• v.26 no.5
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• pp.331-335
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• 2005

The fusion technology of small sensor and wireless communication was followed by various application examples of the embedded system, where the social infrastructural facilities and ecological environment were wirelessly monitored. In addition, this technology represents the primary application area being extended into the healthcare field. In this study, a body area network for ubiquitous healthcare is presented. More specifically this represents a wireless biomedical signal acquisition device characterized by small size, low power consumption, pre-processing and archiving capability. Using this device, a new method for monitoring vital signs and activity is created. A PDA-based wireless sensor network enables patients to be monitored during their daily living, without any constraints. Therefore, the proposed method can be used to develop Activities of Daily Living (ADL) monitoring devices for the elderly or movement impaired people. A medical center would be able to remotely monitor the current state of elderly people and support first-aid in emergency cases. In addition, this method will reduce medical costs in society, where the average life expectancy is increasing.

• Journal of Computing Science and Engineering
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• v.2 no.2
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• pp.109-136
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• 2008

In this survey paper, we discuss biomedical ontologies and major text mining techniques applied to biomedicine and healthcare. Biomedical ontologies such as UMLS are currently being adopted in text mining approaches because they provide domain knowledge for text mining approaches. In addition, biomedical ontologies enable us to resolve many linguistic problems when text mining approaches handle biomedical literature. As the first example of text mining, document clustering is surveyed. Because a document set is normally multiple topic, text mining approaches use document clustering as a preprocessing step to group similar documents. Additionally, document clustering is able to inform the biomedical literature searches required for the practice of evidence-based medicine. We introduce Swanson's UnDiscovered Public Knowledge (UDPK) model to generate biomedical hypotheses from biomedical literature such as MEDLINE by discovering novel connections among logically-related biomedical concepts. Another important area of text mining is document classification. Document classification is a valuable tool for biomedical tasks that involve large amounts of text. We survey well-known classification techniques in biomedicine. As the last example of text mining in biomedicine and healthcare, we survey information extraction. Information extraction is the process of scanning text for information relevant to some interest, including extracting entities, relations, and events. We also address techniques and issues of evaluating text mining applications in biomedicine and healthcare.

• YAKHAK HOEJI
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• v.53 no.5
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• pp.241-249
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• 2009

Various neurotransmitters are involved in regulating stress systems. In this study, we investigated the combination relieving effect of green tea extract(GTE) and L-theanine on the stress induced by electric foot shock. Four week oral administration of GTE (24 mg/kg), L-theanine (4 mg/kg) or their combination reduced the levels of dopamine, noradrenaline and corticosterone in blood, brain cortex, hippocampus, and striatum, wherease increased serotonin level. The combination of GTE and L-theanine showed much greater effects than single treatment of each component, and the effects are comparable to diazepam (2 mg/kg). Therefore, this study suggests that the combination of GTE and L-theanine may act effective and be useful for stress relieving treatment.

• Journal of Internet Computing and Services
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• v.8 no.3
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• pp.85-98
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• 2007

In distributed computing paradigm, mobile surrogate systems have not gained wide acceptance because of security concerns that have not been suitably addressed yet. Currently even the widely used Grid middleware, Globus, does not have a host authentication mechanism, which makes it hard to provide high performance Grid computing capabilities to mobile clients. In this paper, a mobile Grid service framework is designed and implemented in order to provide Grid services to mobile host such as PDA. The surrogate host-based system allows mobile hosts to be provided with Grid services while moving. The implemented mobile Grid services system has been applied to mobile healthcare system which utilizes Grid computing for ECG signal processing. The presented system framework can be used as a secure enterprise mobile healthcare system for hospital physicians.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.215-216
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• 2017

In recent years, the quality of our lives has been improved by providing services that utilize IoT(Internet of Things) technology in various fields. The information obtained through IoT technology provides a basis for actively providing services that people want. However, in the field of smart healthcare, there are a lot of restrictions due to legal regulations and policies due to the scope of handling not only personal information but also simple medical information. Therefore, this study examines the legal systems and policies in the field of smart healthcare and examines the direction of smart healthcare.

• IEMEK Journal of Embedded Systems and Applications
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• v.8 no.5
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• pp.273-283
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• 2013

The traditional medical equipments are devices used by medical professionals but not used in public environment. Common people, however, require light-weight medical devices to make healthcare for themselves nowadays. Those medical devices are used to monitor personal health status such as blood pulse, blood pressure, diabetes. Also, some of them are operated in mobile environment called u-healthcare. This paper implements a portable healthcare system composed of $SpO_2$(Saturation of Partial Pressure Oxygen) sensors and a gateway for detecting hypoxemia during people's leasure activity such as climbing or hiking. The $SpO_2$ sensor is designed as watch style to support dynamic exercise and the gateway is designed as necklace style to support the elderly. The result of a performance evaluation shows that the performance of the $SpO_2$ sensor using reflection technology is not lower than that of a clairvoyant styled $SpO_2$ sensor.