• International Journal of Computer Science & Network Security
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• 제21권8호
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• pp.149-160
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• 2021

One of the most important inventions and developments in the digital world today is the healthcare system based on blockchain technology. Healthcare is an important field that requires the application of security mechanisms due to the sensitivity of patient data. The association of blockchain with healthcare contributed to achieving better security mechanisms than the traditional approach. The new approach operates in a decentralized system, which in turn, improves security in the healthcare environment. Consequently, blockchain technology has emerged as one of the most crucial solutions to security violations and challenges in the healthcare industry. This paper provides a comprehensive review of several experts' recent protection and detection approaches in this domain. It is also imperative to note that the paper focuses only on the recent techniques that have been published during 2017-2020. The sophisticated procedures have been investigated and discussed in terms of similarities and differences to highlight the significance of the protection needed to secure the healthcare environment.

• 보건행정학회지
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• 제11권3호
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• pp.102-120
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• 2001

This paper examines the current situation and major impacts of e-business on healthcare industry: hospital, pharmaceutical, medical device and health-related internet sectors. Of the 137 samples collected with mail survey, the utilization rate of B2C e-commerce is 31.4% and B2B is 13.1%. And 74.5% of respondents remains the first development stage which represents the simple advertisement such as the one-way information offering. The key obstacle of expansion of health care e-commerce turns out to be the illogical and outdated medical-related law and institution. Finally, policy recommendations are proposed based on the evaluation of the current policy implemented by government.

• 한국엔터테인먼트산업학회논문지
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• 제14권3호
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• pp.75-82
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• 2020

본 연구는 국내 의료기관에서 시행된 의료정보보안 교육 효과를 확인하고 향후 이에 관한 교육프로그램 개발에 기초 자료를 제공하고자 시도되었다. 2010년 1월부터 2019년 7월까지 국내에서 발표된 논문을 체계적으로 고찰하여 총 4편을 최종 연구대상으로 선정 하였다. 선정된 4편의 논문을 메타 분석하여 효과크기를 확인한 결과, 의료정보보안 교육과 실천 간 상관관계에는 큰 효과크기가 있었다. 2010년 발행된 논문부터 대상으로 하여 의료정보보안 교육 효과 결과를 의료정보보안 실천만으로 제한했다는 한계점이 있지만 국내 의료정보보안 교육 효과를 확인한 점에서 의의가 있다. 본 연구 결과를 바탕으로 의료정보 유출을 예방할 수 있는 의료정보보안 교육 프로그램 개발에 기초자료로 사용될 수 있을 것이다.

• 한국정보시스템학회지:정보시스템연구
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• 제30권3호
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• pp.21-45
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• 2021

Purpose This paper analyzed the impacts of domestic stock market by a global pandemic such as COVID-19. We investigated how the overall pattern of the stock market changed due to the impact of the COVID-19 pandemic. In particular, we analyzed in depth the pattern of stock price, as well, tried to find what factors affect on stock market index(KOSPI) in the healthcare industry due to the COVID-19 pandemic. Design/methodology/approach We built a data warehouse from the databases in various industrial and economic fields to analyze the changes in the KOSPI due to COVID-19, particularly, the changes in the healthcare industry centered on bio-medicine. We collected daily stock price data of the KOSPI centered on the KOSPI-200 about two years before and one year after the outbreak of COVID-19. In addition, we also collected various news related to COVID-19 from the stock market by applying text mining techniques. We designed four experimental data sets to develop decision tree-based prediction models. Findings All prediction models from the four data sets showed the significant predictive power with explainable decision tree models. In addition, we derived significant 10 to 14 decision rules for each prediction model. The experimental results showed that the decision rules were enough to explain the domestic healthcare stock market patterns for before and after COVID-19.

• 융합정보논문지
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• 제11권1호
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• pp.175-182
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• 2021

본 연구의 목적은 디지털바이오헬스케어산업의 연관산업에 대한 고용유발효과를 시기별로 비교 분석하여 효과적인 산업정책을 수립하기 위한 것이다. 연구를 위한 기본데이터는 한국은행이 실측했던 3개년의 산업연관표를 활용하였다. 연구 방법은 첫째, 산업분류 기준이 다른 시기별 통계자료들을 비교분석하기 위해 7대 산업으로 재작성하였다. 둘째, 한국은행의 산업연관분석 방법론으로 비교분석하였다. 셋째, 격차 조정을 위해 가중치를 반영하여 디지털바이오헬스케어산업의 고용, 생산, 투자 부문에서 유발 효과들을 비교분석하였다. 분석 결과는 첫째, 고용 부문에서는 전체 산업의 평균보다 높은 효과가 있고, 둘째, 생산 부문에서는 낮았고, 셋째, 투자 부문에서는 서비스 분야의 투자가 필요하였다. 분석에서 도출된 결론은, 고용 부문에서 직접투자 및 지속적인 투자가 필요하고, 전문 인력의 육성이 시급하며, 생산 부문에서는 직접투자와 장기투자가 효과적인 것으로 나타났다.

• 산경연구논집
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• 제9권9호
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• pp.35-44
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• 2018

Purpose - In endless competition, companies pursue cost reduction and work efficiency. So, entrepreneurs try to increase job intensity, which may lead to job stress and high turnovers because of job burnout. But, Information systems are acknowledged as a work support tool that secures work convenience and the productivity of employees. In this study, we aimed to confirm the effects of information systems in reduing the work overload of employees in a human resource intensive industry. Research design, data and methodology - This is based on the job demands-resources model, conducting an empirical analysis of surveys given to hospital employees working in a human resource intensive industry. Results - The research revealed that information systems reduced the work overload of employees in a human resource intensive industry. Conclusion - This study confirmed the effects of information systems as a job resource based on JD-R theory, and presentation of empirical results indicated that information systems alleviate employee job overload and increases job satisfaction in the medical services industry. In the medical services industry, using electronic health record system decreases in work overload, which results in employees gaining time for self-development and time management, reducing job stress, and leading to job satisfaction.

• Healthcare Informatics Research
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• 제24권4호
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• pp.327-334
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• 2018

Objectives: The objective of this study was to investigate the relationship between the level of Electronic Medical Record (EMR) system adoption and healthcare information technology (IT) infrastructure. Methods: Both survey and various healthcare administrative datasets in Korea were used. The survey was conducted during the period from June 13 to September 25, 2017. The chief information officers of hospitals were respondents. Among them, 257 general hospitals and 273 small hospitals were analyzed. A logistic regression analysis was conducted using the SAS program. Results: The odds of having full EMR systems in general hospitals statistically significantly increased as the number of IT department staff members increased (odds ratio [OR] = 1.058, confidence interval [CI], 1.003-1.115; p = 0.038). The odds of having full EMR systems was significantly higher for small hospitals that had an IT department than those of small hospitals with no IT department (OR = 1.325; CI, 1.150-1.525; p < 0.001). Full EMR system adoption had a positive relationship with IT infrastructure in both general hospitals and small hospitals, which was statistically significant in small hospitals. The odds of having full EMR systems for small hospitals increased as IT infrastructure increased after controlling the covariates (OR = 1.527; CI, 1.317-4.135; p = 0.004). Conclusions: This study verified that full EMR adoption was closely associated with IT infrastructure, such as organizational structure, human resources, and various IT subsystems. This finding suggests that political support related to these areas is indeed necessary for the fast dispersion of EMR systems into the healthcare industry.

• 디지털산업정보학회논문지
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• 제6권3호
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• pp.91-101
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• 2010

By using the U-Healthcare environment, it is possible to receive the health care services anywhere anytime. However, since the user's personal information can be easily exposed in the U-Healthcare environment, it is necessary to strengthen the security system. This thesis proposes the technique which can be used to protect the personal medical records at hospital safely, in order to avoid the exposure of the user's personal information which can occur due to the frequent usage of the electronic chart according to the computerization process of medical records. In the proposed system, the following two strategies are used: i) In order to reduce the amount of the system load, it is necessary to apply the partial encryption process for electronic charts. ii) Regarding the user's authentication process for each patient, the authentication number for each electronic chart, which is in the encrypted form, is transmitted through the patient's mobile device by the National Health Insurance Corporation, when the patient register his or her application at hospital. Regarding the modern health care services, it is important to protect the user's personal information. The proposed technique will be an important method of protecting the user's information.

• 디지털산업정보학회논문지
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• 제7권1호
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• pp.19-29
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• 2011

The u-Healthcare system, a new paradigm, provides healthcare and medical service anytime, anywhere in daily life using wired and wireless networks. It only doesn't reach u-Hospital at home, to manage efficient personal health in fitness space, it is essential to feedback process through measuring and analyzing a personal vital signs. MBAN(Medical Body Area Network) is a core of this technology. MBAN, a new paradigm of the u-Healthcare system, can provide healthcare and medical service anytime, anywhere on real time in daily life using u-sensor networks. In this paper, an ontology-based context-awareness in MBAN proposed system development methodology. Accordingly, ontology-based context awareness system on MBAN to Elderly/severe patients/aged/, with measured respiratory rate/temperature/pulse and vital signs having small variables through u-sensor network in real-time, discovered abnormal signs and emergency situations which may happen to people at sleep or activity, alarmed and connected with members of a family or medical emergency alarm(Emergency Call) and 119 system to avoid sudden accidents for early detection. Therefore, We have proposed that accuracy of biological signal sensing and the confidence of ontology should be inspected.

• 디지털산업정보학회논문지
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• 제17권1호
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• pp.7-14
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• 2021

With the increased attention about healthcare and management of heart diseases, smart healthcare services and related devices have been actively developed recently. R wave is the largest representative signal among ECG signals. R wave detection is very important because it detects QRS pattern and classifies arrhythmia. Several R wave detection algorithms have been proposed with different features, but the remaining problem is their implementation in low-cost portable platforms for real-time applications. In this paper, we propose R wave detection based on optimal threshold and arrhythmia classification through QRS pattern considering complexity in smart healthcare environments. For this purpose, we detected R wave from noise-free ECG signal through the preprocessing method. Also, we classify premature ventricular contraction arrhythmia in realtime through QRS pattern. The performance of R wave detection and premature ventricular contraction arrhythmia classification is evaluated by using 9 record of MIT-BIH arrhythmia database that included over 30 premature ventricular contraction. The achieved scores indicate the average of 98.72% in R wave detection and the rate of 94.28% in PVC classification.