• 한국IT서비스학회지
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• 제19권2호
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• pp.23-35
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• 2020

The development of digital technology is changing the paradigm of the healthcare industry to preventive and consumer-oriented. The combination of the ICT industry and the bio-healthcare industry is emerging as a core industry in the era of the Fourth Industrial Revolution. The Korean government has also selected the bio-healthcare industry as one of the three key future development industries. In May, the government announced its bio-health industry innovation strategy and set a goal of 300,000 employees. Therefore, analyzing the effects of employment on the related industries of the digital bio-healthcare industry is very important for the establishment of future industrial and technology development policies. The research method restructures the integrated classification of 32 industries into 34, including the digital bio-healthcare industry, using the classification criteria of the government and professional institutions, and then reorganizes the digital bio-healthcare industry into eight industries classified as one industry group. The analysis data was taken from the Bank of Korea's 2019 data. Various trigger coefficients and ripple effects coefficients were rewritten using the analysis method of the Input-output Statistics. The analysis of the results compares the employment-induced effects of the digital bio-healthcare industry and the ripple effects of related industries in production, investment and value-added. In addition, in terms of investment effect, the effects of in-house and related industries were compared. It is hoped that the results of this study will be used to establish employment and industrial policies.

• 디지털산업정보학회논문지
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• 제19권3호
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• pp.149-163
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• 2023

In this study we analyze research trends on machine learning healthcare based on papers from the United States, the United Kingdom, and Korea. In Elsevier's Scopus, we collected 3425 papers related to machine learning healthcare published from 2018 to 2022. Keyword frequency and centrality analysis were conducted using the abstracts of the collected papers. We identified keywords with high frequency of appearance by calculating keyword frequency and found central research keywords through the centrality analysis by country. Through the analysis results, research related to machine learning, deep learning, healthcare, and the covid virus was conducted as the most central and highly mediating research in each country. As the implication, studies related to electronic health information-based treatment, natural language processing, and privacy in Korea have lower degree centrality and betweenness centrality than those of the United States and the United Kingdom. Thus, various convergence research applied with machine learning is needed for these fields.

• 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.

• 한국임상수의학회지
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• 제29권1호
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• pp.49-57
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• 2012

Success of any business solely is dependant on how to satisfy clients in healthcare-related industry. In the short history of Korea pet-care industry, there were not many guidelines on client satisfaction management of companion animal hospitals. The studies on many pet healthcare facilities were conducted based on their cost-benefits and the advantages of medical operation within special features of the traditional hospital management system. However the companion animal hospitals recently need to improve the service quality and client closed communication in keen competition on pet healthcare market. This study explores client satisfaction management could be the new issue of the veterinary hospital business. And it finally suggests of the critical factors affecting successful client satisfaction management of companion animal hospital based on the eight case studies.

• 보건행정학회지
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• 제28권3호
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• pp.288-293
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• 2018

In 1994 Korea government began to develop the healthcare industry, since then the government has tried to create opportunities to promote the industry through various political efforts and policies. The biggest achievement was attracting foreign patients from 2009 to 2016 with a cumulative 1.56 million and total revenue of 3 trillion won. But Korea still loses the opportunity to become a global leader in the health care industry due to regulations and various ideological disputes. Accordingly, it is necessary to facilitate policy understanding and present a practical road map so that Korea's healthcare industry become a new growth engine that will lead the trend of global market in the future. It also suggests a national economic development paradigm, the health economy as health and economic value are rotated through a shift in view of health care. At this point, 20 years after the beginning of the healthcare industry development, it is necessary to evaluate the related policies and discuss effective future directions. In this sense, the purpose of this study is to examine the policies and limitations of the healthcare industry by each government division, and based on it, to propose political tasks for the future.

• 융합정보논문지
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• 제10권3호
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• pp.7-15
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• 2020

치료·공급자 중심의 의료서비스에서 예방·소비자 중심의 서비스로 패러다임이 변화하고 있는 시점에 보건의료와 ICT융합기술의 접목은 4차 산업혁명 안에서 디지털 헬스케어 산업에 대한 관심을 고조시키고 있다. 디지털 헬스케어에는 건강, 영양, 운동, 및 환자관리 등이 포함되며, 디지털 헬스케어 산업에는 개인 건강 및 의료 정보를 제공할 수 있는 의료기기, 의료정보시스템 및 헬스케어 플랫폼 등과 관련된 의료 및 IT 산업의 융합으로 요약된다. 고령화 및 만성질환의 증가에 따른 사회적 요구로 인해 우리나라에서도 4차 산업혁명 안에서 디지털 헬스케어는 중요한 정책으로 다뤄지고 있다. 디지털 헬스케어 산업이 인류의 수명연장과 삶의 질 증진에 기여하기 위해서는 관련 인프라와 법률적 제도 정비 및 정책 마련 등이 시급하며 덧붙여 중요한 것은 디지털 헬스케어 산업을 이끌어갈 인재 육성을 위한 융합적 교육의 활성화가 필요하겠다. 본 연구는 4차 산업혁명 시대의 디지털 헬스케어 산업의 동향과 정부의 연구개발 정책방향에 대해 고찰하고 미래 발전 방향 및 시사점을 도출하고자 시행되었다.

• 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.

• 한국융합학회논문지
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• 제13권4호
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• pp.25-37
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• 2022

현재 코로나 확산과 더불어 데이터 3법 시행으로 디지털 헬스케어 산업이 성장할 수 있도록 산업체 및 정부가 많은 노력을 하고 있다. 하지만, 이러한 노력에도 불구하고 의료분야 관련 법률의 개정과 안전한 의료 데이터 전송 방안이 필요하다는 주장이 지속적으로 제기되고 있다. 본 논문에서는 우리나라의 데이터 3법과 헬스케어와 관련된 법제도를 짚어본다. 법 제도적 및 기술적 측면에서 전략을 비교하여 법 제도적 이슈를 도출하고 기술적 측면에서의 전략적 방향성을 파악하여 시사점을 도출한다. 이를 기반으로 우리나라의 디지털 헬스케어 산업에 적합한 법 제도적인 전략을 제시하고, 안전한 비식별처리 및 데이터 전송 등의 기술적 방안의 개선 방향을 제안한다. 이러한 다각적인 관점으로 분석하고 접근한 본 연구는 디지털 헬스케어 산업뿐만 아니라 다양한 융합산업 확산에 기여할 수 있을 것으로 사료된다.

• 디지털융복합연구
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• 제11권6호
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• pp.193-197
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• 2013

최근 융합 현상중에서 관심 분야중 하나는 건강과 밀접한 헬스케어 산업이다. 헬스케어 산업은 정보통신과 의료산업이 융합된 분야로서, 우리사회가 겪고 있는 고령화 인구의 증가등의 요인으로 관심을 모으고 있다. 이에 본 논문에서는 IT와 의료산업의 융복합 형태인 유비쿼터스 헬스케어 서비스에 대한 현황 및 문제점, 향후 발전 방향등에 대해 고찰하였다.

• 인터넷정보학회논문지
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• 제21권3호
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• pp.71-81
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• 2020

디지털바이오헬스케어 산업은 문재인 정부의 3대 중점육성산업의 하나이다. 본 연구의 목적은 디지털바이오헬스케어산업의 연관 산업에 대한 파급효과와 투자효과를 비교분석하는 것이다. 디지털바이오헬스케어산업의 연관산업에 대한 파급효과를 분석하는 것은 산업 및 기술개발 정책의 수립에 매우 중요하다. 연구방법은 첫째, 표준산업분류 상의 33개 산업을 재분류하여 35개 산업대분류표로 재작성하였다. 둘째, 산업연관표의 분석틀을 활용하여 각종 유발계수와 파급효과계수들을 재작성하였다. 셋째, 디지털바이오헬스케어산업의 생산, 투자, 부가가치, 일자리부문에서 연관산업에 대한 파급효과를 비교하였다. 넷째, 투자효과측면에서 자체산업과 연관 산업과의 효과를 비교하였다. 이 연구의 결과가 산업정책 및 기술개발정책 수립에 용이하게 활용되기를 기대한다.