• Journal of Korea Society of Industrial Information Systems
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• v.19 no.3
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• pp.57-66
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• 2014

This paper proposes the UHISRL(Ubiquitous Healthcare Information System based on Real Time Location) which manages patient, doctor, medicine by using RFID. The proposed UHISRL monitors the patient's health state, and enables us to confirm the result with Smart Phone and Tablet PC. Also, it can block Replay and Spoofing attack by using the ERHL(Extended Randomized Hash Lock) authentication scheme designed in this paper. A patient privacy is enhanced by limiting UHISRL DB access according to attributes with CP-ABE (Cipher Text - Attributed based Encryption) technique. Specially, UHISRL can prevent an unexpected accident by monitoring a chronic patient's emergency situation in real time.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.5
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• pp.31-40
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• 2016

This paper is to set up the autoregressive distributed lag model in order to estimate factor elasticities of the service export in the medical and healthcare service industry and to analyze the determinants for its export performance during 1975-2015. The empirical results suggest that industrial markup, exchange rate, and interest rate have had more decisive effects on the industrial export performance in the medical and healthcare service industry, in particular, during the declining period in factor prices since the foreign currency crisis beginning in late 1997.

• Journal of Biomedical Engineering Research
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• v.28 no.3
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• pp.325-331
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• 2007

Personal identification is essential for the automatic measurement of biosignal information in home healthcare systems. Personal identification is usually achieved with passive radio frequency identification (RFID), which does little more than store a unique identification number. However, passive RFID is not ideal for automatic identification. We present a user identification system based on radio signal strength indication (RSSI) using ZigBee for active RFID tags. Personal identification is achieved by finding the largest RSSI value from aggregated beacon messages that are periodically transmitted by active RFID tags carried by users. Obtaining reliable person!'.! identification without restricting the orientation requires a certain distance between the closest active RFID tag from the ZED and the second closest tag. The results show that the closest active RFID tag from the ZED and the second closest tag must be at least 70 cm apart to achieve reliable personal identification.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.35 no.7
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• pp.9-25
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• 2017

In this paper, we surveyed state-of-the-art health and wellness platforms. The motivation of this paper is to review the state-of-the-art health and wellness platforms and their maturity with respect to adoption of latest enabling technologies. The is review is classified into four categories: healthcare systems, AI-assisted healthcare, wellness platforms, and open source health and wellness initiatives. From this comprehensive review, it can be stated that the contemporary healthcare systems are well-adopting wellness due to the concentration shift towards prevention. Thus, the gap between health and wellness is slowly yet carefully entering gray area. Where both the domains can freely invoke each other's services, and supporting enabling technologies. Furthermore, the biomedical researchers and physicians are no longer carrying the myopic views of trusting their knowledge for diagnosis. AI-assisted technologies based on machine learning and big data are influencing today's prognosis with trust and confidence.

• The Journal of Information Systems
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• v.26 no.4
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• pp.285-301
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• 2017

Purpose In this paper we verified the reliabilities of healthcare-related information provided by various users on the site of Naver Jisikin, a Korean typical search platform. Based on Q&A contents we validated answers' reliabilities to the asked questions about a lung cancer with the help of professors at a medical school. Design/methodology/approach The content analysis includes that the types of questions are classified into symptom/diagnosis, therapy, prognosis, after-management and so on. The answers contains advice, advertisement, oriental medicine, and religion as well as the above 5 question categories. The validation results of medical evidence about each answer show that only 49% among all answers have medical grounds. Findings We classified the medical grounded answers into three levels; high, medium and low. Among all answers we need to find out the answers including advertisement because the answers can be harmful to patients. We found the method to select the answers containing advertisement contents with the help of text mining research. The selection model presents high performance as 84% classification accuracy.

• Journal of Korean Critical Care Nursing
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• v.8 no.1
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• pp.71-79
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• 2015

Purpose: The purpose of this study was to compare the applicability of the Charlson Comorbidity Index (CCI) and Acute Physiology, Age, Chronic Health Evaluation III (APACHE III) to the prediction of the healthcare outcomes of intensive care unit (ICU) patients. Methods: This research was performed with 136 adult patients (age>18 years) who were admitted to the ICU between May and June 2012. Data were measured using the CCI score with a comorbidity index of 19 and the APACHE III score on the standard of the worst result with vital signs and laboratory results. Discrimination was evaluated using receiver operating characteristic (ROC) curves and area under an ROC curve (AUC). Calibration was performed using logistic regression. Results: The overall mortality was 25.7%. The mean CCI and APACHE III scores for survivors were found to be significantly lower than those of non-survivors. The AUC was 0.835 for the APACHE III score and remained high, at 0.688, for the CCI score. The rate of concordance according to the CCI and the APACHE III score was 69.1%. Conclusion: The route of admission, days in ICU, CCI, and APACHE III score are associated with an increased mortality risk in ICU patients.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.3
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• pp.1229-1248
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• 2016

With the feature of convenience and low cost, remote healthcare monitoring (RHM) has been extensively used in modern disease management to improve the quality of life. Due to the privacy of health data, it is of great importance to implement RHM based on a secure and dependable network. However, the network connectivity of existing RHM systems is unreliable in disaster area because of the unforeseeable damage to the communication infrastructure. To design a secure RHM system in disaster area, this paper presents a Secure VANET-Assisted Remote Healthcare Monitoring System (SVC) by utilizing the unique "store-carry-forward" transmission mode of vehicular ad hoc network (VANET). To improve the network performance, the VANET in SVC is designed to be a two-level network consisting of two kinds of vehicles. Specially, an innovative two-level key management model by mixing certificate-based cryptography and ID-based cryptography is customized to manage the trust of vehicles. In addition, the strong privacy of the health information including context privacy is taken into account in our scheme by combining searchable public-key encryption and broadcast techniques. Finally, comprehensive security and performance analysis demonstrate the scheme is secure and efficient.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.1
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• pp.146-152
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• 2010

In this paper, we implemented the intelligent healthcare system self-diagnosis that can achieve self-diagnosis by measured bio-signal(blood pressure, blood sugar, body fat monitor) after the recognize a user to access using RFID. The implemented healthcare self-diagnosis intelligent system is consist of kiosk structure that is RFID reader, bio-signal measuring instrument(hemadynamometer, glucometer, body fat monitor), computer for a part of database server and printer for print the result of self-diagnosis. It can achieve self-diagnosis of a user after compare and analyze the measured data and information of a user from database. The implemented system can make simple self-diagnosis even if not take a physical examination at hospital and apply to company, school, etc.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.11a
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• pp.57-60
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• 2006

최근 유비쿼터스 헬스케어 서비스를 이용한 시간과 공간의 제약 없이 각종 의료서비스와 건강관리를 제공받는 유비쿼터스 헬스케어에 대한 관심이 증대되고 있다. 유비쿼터스 헬스케어 산업은 특성상 단일 제품이나 서비스로만 존재하지 않고, 의료정보, 장비, 소프트웨어, 네트워크, 전자상거래 등의 보건 의료를 구성하는 모든 산업이 IT에 기반 하여 집약된 새로운 산업분야이다. 이러한 산업 특성상 유비쿼터스 헬스케어 서비스는 다양한 기술들을 이용하기 때문에 이들을 서비스의 개발, 이용 단계에서 통합된 환경을 제공받아 이용하는 것이 효과적이다. 본 논문에서는 유비쿼터스 헬스케어 서비스 이용을 위한 서비스 시스템 아키텍쳐를 제안하고, 제안된 시스템에서 이용할 수 있는 서비스들을 개발하기 위한 유비쿼터스 헬스케어 서비스 개발 Framework을 설계한다. 제안된 시스템 아키텍쳐와 개발 Framework을 이용하면 헬스케어 서비스 이용자에게 적절한 인터페이스의 제공과 질환에 대한 추적 관찰, 증상의 판단, 진료 지원, 건강관리, 외부 기관과의 정보 교환 등의 서비스를 개발할 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.12
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• pp.4400-4419
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• 2021

In the 4th Industrial Revolution, the healthcare industry is undergoing a paradigm shift from post-care and management systems based on diagnosis and treatment to disease prevention and management based on personal precision medicine. To optimize medical services for individual patients, an open ecosystem for the healthcare industry that allows the exchange and utilization of personal health records (PHRs) is required. However, under the current system of hospital-centered data management, it is difficult to implement the linking and sharing of PHRs in practice. To address this problem, in this study, we present the design and implementation of a patient-centered PHR platform using blockchain technology. This platform achieved transparency and reliability in information management by eliminating the risk of leakage and tampering/altering personal information, which could occur when using a PHR. In addition, the patient-consent system was applied to a PHR; thus, the patient acted as the user with ownership. The proposed blockchain-based PHR platform enables the integration of personal medical information with scattered distribution across multiple hospitals, and allows patients to freely use their health records in their daily lives and emergencies. The proposed platform is expected to serve as a stepping stone for patient-centered healthcare data management and utilization.