• International Journal of Advanced Culture Technology
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• 제7권2호
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• pp.238-243
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• 2019

Recently, the importance of big data continues to be emphasized, and it is applied in various fields based on data mining techniques, which has a great influence on the health care industry. There are many healthcare industries, but only home health care is considered here. However, applying this to real problems does not always give perfect results, which is a problem. Therefore, data mining techniques are used to solve these problems, and the algorithms that affect performance are evaluated. This paper focuses on the effects of healthcare services on patient satisfaction and satisfaction. In order to use the CVParameterSelectin algorithm and the SMOreg algorithm of the classify method of data mining, it was evaluated based on the experiment and the verification of the results. In this paper, we analyzed the services of home health care institutions and the patient satisfaction analysis based on the name, address, service provided by the institution, mood of the patients, etc. In particular, we evaluated the results based on the results of cross validation using these two algorithms. However, the existence of variables that affect the outcome does not give a perfect result. We used the cluster analysis method of weka system to conduct the research of this paper.

• 디지털융복합연구
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• 제12권2호
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• pp.397-407
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• 2014

의료정보의 급속한 발달로 인하여 막대한 양의 정보가 쌓이고 있다. 이러한 정보를 이용하여 임상연구를 하고자하는 욕구가 늘고 있으며, 고령화와 의료비의 가파른 상승을 해결해야하는 문제에 직면해 있다. 이에 대한 대안으로 빅데이터의 활용에 대한 목소리가 높다. 본 연구는 우리나라 의료기관들의 정보화 현황을 살피고 빅데이터 활용방안에 대한 정책적 시사점을 제공하고자 한다. 문헌조사와 의료기관의 의료정보전문가 면담을 통해 자료를 수집하였으며, 수집기간은 2013년 9월부터 2013년 11까지 4개월간 시행하였다. 연구결과 향후 병원정보시스템은 환자관리 및 행정에서 연구와 정보전략 측면으로 발전하고 있다. 따라서 빅데이터 활용을 위한 시스템 구축과 비정형 데이터의 효과적 활용을 고려하여 전문인력 양성과 더불어 의료비 절감을 위한 국가의 정책지원이 마련되어야 할 것이다.

• Journal of Dental Anesthesia and Pain Medicine
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• 제22권3호
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• pp.205-216
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• 2022

Background: People with special needs tend to require diverse behavioral management in dentistry. They may feel anxious or uncomfortable or may not respond to any communication with the dentists. Patients with medical, physical, or psychological disorders may not cooperate and therefore require sedation (SED) or general anesthesia (GA) to receive dental treatment. Using the healthcare big data in Korea, this study aimed to analyze the trends of SED and GA in special needs patients undergoing dental treatment. It is believed that these data can be used as reference material for hospitals and for preparation of guidelines and related policy decisions of associations or governments for special needs patients in dentistry. Methods: The study used selected health information data provided by the Korean National Health Insurance Service. Patients with a record of use of one of the eight selected drugs used in dental SED between January 2007 and September 2019, those with International Classification of Diseases-10 codes for attention deficit hyperactivity disorder (ADHD), phobia, brain disease, cerebral palsy, epilepsy, genetic disease, autism, mental disorder, mental retardation, and dementia were selected. The insurance claims data were analyzed for age, sex, sedative use, GA, year, and institution. Results: The number of special needs patients who received dental treatment under SED or GA from January 2007 to September 2019 was 116,623. Number of SED cases was 136,018, performed on 69,265 patients, and the number of GA cases was 56,308, implemented on 47,257 patients. In 2007, 3100 special needs patients received dental treatment under SED while in 2018 the number of cases increased 6 times to 18,528 SED cases. In dentistry, ADHD was the most common disability for SED cases while phobia was the most common cause of disability for GA. The male-to-female ratio with respect to SED cases was higher for males (M : F = 64.36% : 35.64%). Conclusion: The application of the SED method and GA for patients with special needs in dentistry is increasing rapidly; thus, preparing guidelines and reinforcing the education and system are necessary.

• 지능정보연구
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• 제29권2호
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• pp.57-84
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• 2023

현대사회는 정보통신기술 및 빅데이터 기술의 발전으로 누구나 인터넷을 통해 손쉽게 방대한 데이터를 얻고 활용할 수 있는 시대로, 양질의 데이터를 수집하는 능력을 넘어 수많은 정보 속에서 올바른 데이터만을 선별하는 능력이 더욱 중요해지고 있다. 이러한 기조는 학계에서도 이어지고 있는데, 축적되는 연구물 속에서 양질의 연구를 선별하여 올바른 지식구조를 형성하기 위해, 다양한 연구 분야에서 체계적 고찰(systematic review) 및 비체계적 고찰(non-systematic review)과 같은 문헌연구(literature review)가 수행되고 있다. 한편, 코로나19 팬데믹 이후 의료산업에서도 그동안 합의에 이르지 못했던 원격의료가 제한적으로나마 허용되고, 인공지능 및 빅데이터 기술이 응용된 건강추천시스템(health recommender systems: HRS)과 같은 새로운 의료서비스가 각광을 받고 있다. 하지만, 실무적으로 HRS가 미래 의료산업 발전을 이끌 중요한 기술로 평가받고 있음에도 불구하고, 학술적인 문헌연구는 다른 분야에 비해 매우 부족한 실정이다. 더불어 HRS는 학제적 성격이 강한 융합 분야임에도 불구하고, 기존의 문헌연구는 비체계적 고찰과 체계적 고찰 방법만을 주로 활용하여 이뤄졌기 때문에, 다른 연구 분야와의 상호작용이나 동적인 관계를 유추하기에는 한계가 존재한다. 이에, 본 연구에서는 인용네트워크 분석(citation network analysis: CNA)을 활용하여 HRS 및 주변 연구 분야의 전체적인 네트워크 구조를 파악하였다. 또한, 이 과정에서 최신 논문이 인용 관계가 잘 나타나지 않는 문제를 보완하기 위해 GraphSAGE 알고리즘을 적용함으로써, HRS 연구에 있어 'recommender system', 'wireless & IoT', 'computer vision', 'text mining' 등과 같은 연구 분야들의 중요도가 높아지고 있음을 파악하였으며, 이와 동시에 개인화(personalization) 및 개인정보보호(privacy) 등과 같은 새로운 키워드가 주요 이슈로 등장하고 있음을 확인하였다. 본 연구를 통해 HRS 연구 커뮤니티의 구조를 파악하고, 관련된 연구 동향을 살펴보며, 미래 HRS 연구 방향을 설계함에 있어 실질적인 통찰을 제공할 수 있을 것으로 기대한다.

• 대한간호학회지
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• 제54권1호
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• pp.1-17
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• 2024

Purpose: The significance of the healthcare industry has grown exponentially in recent years due to the impact of the fourth industrial revolution and the ongoing pandemic. Accordingly, this study aimed to examine domestic healthcare-related patents comprehensively. Big data analysis was used to present the trend and status of patents filed in nursing. Methods: The descriptive review was conducted based on Grant and Booth's descriptive review framework. Patents related to nursing was searched in the Korea Intellectual Property Rights Information Service between January 2016 to December 2020. Data analysis included descriptive statistics, phi-coefficient for correlations, and network analysis using the R program (version 4.2.2). Results: Among 37,824 patents initially searched, 1,574 were selected based on the inclusion criteria. Nursing-related patents did not specify subjects, and many patents (41.4%) were related to treatment in the healthcare delivery phase. Furthermore, most patents (56.1%) were designed to increase effectiveness. The words frequently used in the titles of nursing-related patents were, in order, "artificial intelligence," "health management," and "medical information," and the main terms with high connection centrality were "artificial intelligence" and "therapeutic system." Conclusion: The industrialization of nursing is the best solution for developing the healthcare industry and national health promotion. Collaborations in education, research, and policy will help the nursing industry become a healthcare industry of the future. This will prime the enhancement of the national economy and public health.

• 한국병원경영학회지
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• 제22권2호
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• pp.17-27
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• 2017

Objective: This study was performed to find out the characteristics of nurse administrators and the relationships among their personality types, administrative work appropriateness and job satisfaction. Methods: Participants were 112 nurse administrators who had worked for more than 1 year in a hospital administrative position in Seoul and Gyeonggi area. Data were collected form April 14 to Jun 17, 2016, using questionnaires. For the analysis, SPSS WIN 20.0 program was used. Results: Personality types are related to job satisfaction and administrative work appropriateness. Among big-5 personality types, the neurotic level is negatively related to job satisfaction. However, extroversion is positively related. For the appropriateness of administrative work, the way of transfer and working department show no significant relations but age shows significant relation. The influence of age needs further study. Conclusion: The personalty types are related to nurse administratorsʼ job satisfaction and administrative work appropriateness.

• 보건행정학회지
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• 제34권1호
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• pp.4-16
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• 2024

Smart hospitals involve the use of recent ICT (information and communications technology) technologies to improve healthcare access, efficiency, and effectiveness. Standardization in smart hospital technologies is crucial for interoperability, scalability, policy formulation, quality control, and maintenance. This study reviewed relevant international standards for smart hospitals and the organizations that develop them. Specific attention was paid to robotics in smart hospitals and the potential for standardization in this area. The study used online resources and existing standards to analyze technologies, standards, and practices in smart hospitals. Key technologies of smart hospitals were identified. Relevant standards from ISO (International Organization for Standardization) and IEC (International Electrotechnical Commission) were mapped to each core technology. Korea's leadership in smart hospital technology were highlighted. Approaches for standardizing smart hospitals were proposed. Finally, potential new international standard items for robotics in smart hospitals were identified and categorized by function: sampling, remote operation, delivery, disinfection, and movement tracking/contact tracing. Standardization in smart hospital technologies is crucial for ensuring interoperability, scalability, ethical use of artificial intelligence, and quality control. Implementing international standards in smart hospitals is expected to benefit individuals, healthcare institutions, nations, and industry by improving healthcare access, quality, and competitiveness.

• 경영정보학연구
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• 제25권3호
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• pp.163-177
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• 2023

본 연구는 디지털 헬스케어 산업 활성화를 위한 정책적 접근으로서, 주요 의제 도출 및 정책적 시사점을 제시하는데 목적이 있다. 본 연구에서는 10년(2013년~2022년) 간의 헬스케어와 관련된 뉴스 빅데이터 총 91,873건을 수집하여 토픽모델링 분석, 다차원척도 분석 및 시계열 회귀분석을 수행하였다. 토픽모델링 분석 및 다차원척도법을 통해 총 20개의 토픽을 도출하여 2차원선상에 토픽들의 군집 형태를 파악하였고, 시계열 회귀분석을 통해, 상승 추세를 나타내는 4개의 Hot topic(건강관리, 바이오제약, 기업매출·전망, 정부·정책)과 하향 추세를 나타내는 3개의 Cold topic(스마트기기, 주식·투자, 도시·건설)을 도출되었다. 본 연구의 결과는 우리나라 정책을 수립하는 정부 기관에 중요한 기초 자료로 활용될 수 있을 것이다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권12호
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• pp.4643-4660
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• 2014

Integrity authentication of biometric data in Wireless Body Area Network (WBAN) is a critical issue because the sensitive data transmitted over broadcast wireless channels could be attacked easily. However, traditional cryptograph-based integrity authentication schemes are not suitable for WBAN as they consume much computational resource on the sensor nodes with limited memory, computational capability and power. To address this problem, a novel lightweight integrity authentication scheme based on reversible watermark is proposed for WBAN and implemented on a TinyOS-based WBAN test bed in this paper. In the proposed scheme, the data is divided into groups with a fixed size to improve grouping efficiency; the histogram shifting technique is adopted to avoid possible underflow or overflow; local maps are generated to restore the shifted data; and the watermarks are generated and embedded in a chaining way for integrity authentication. Our analytic and experimental results demonstrate that the integrity of biometric data can be reliably authenticated with low cost, and the data can be entirely recovered for healthcare applications by using our proposed scheme.

• 산업경영시스템학회지
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• 제42권4호
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• pp.126-134
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• 2019

Nowadays, since there are so many big data available everywhere, those big data can be used to find useful information to improve design and operation by using various analysis methods such as data mining. Especially if we have event log data that has execution history data of an organization such as case_id, event_time, event (activity), performer, etc., then we can apply process mining to discover the main process model in the organization. Once we can find the main process from process mining, we can utilize it to improve current working environment. In this paper we developed a new method to find a final diagnosis of a patient, who needs several procedures (medical test and examination) to diagnose disease of the patient by using process mining approach. Some patients can be diagnosed by only one procedure, but there are certainly some patients who are very difficult to diagnose and need to take several procedures to find exact disease name. We used 2 million procedure log data and there are 397 thousands patients who took 2 and more procedures to find a final disease. These multi-procedure patients are not frequent case, but it is very critical to prevent wrong diagnosis. From those multi-procedure taken patients, 4 procedures were discovered to be a main process model in the hospital. Using this main process model, we can understand the sequence of procedures in the hospital and furthermore the relationship between diagnosis and corresponding procedures.