• Journal of Internet Computing and Services
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• v.21 no.3
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• pp.71-81
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• 2020

The digital bio-healthcare industry is one of the three major fostering industries of the Korean Moon Jae-In government. The purpose of this study is to compare and analyze the ripple effect and investment effect in digital bio-healthcare industry. Analyzing the ripple effects of the digital bio-healthcare industry is very important to induce policies on industry and technology development. First, the research methods were reclassified into 33 industries in the standard industry classification and rewritten into 35 industry classification tables. Second, various trigger coefficients and ripple effects coefficients were rewritten by the analysis framework of the industrial association table. Third, we compared the ripple effects of related industries in the production, investment, value-added and jobs sectors of the digital bio-healthcare industry. Finally, in terms of investment effects, the effects of in-house and related industries were compared. The result of this study would be helpful in the establishment of industrial policy and technology development policy.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.2
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• pp.134-143
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• 2022

'Data' is the key component that leads Digital Healthcare. Most of the Healthcare Data is personal information of data subject and includes Sensitive Information. It is very important for companies to use data lawfully and safely during the lifecycle of data collection, use, provision, and destruction. However, small and medium-sized enterprises(SMEs), ventures, and startups, which account for 78% of the Healthcare Services Industry, have had difficulties in performing tasks related to personal information protection. The personal Information Protection Act's requirements depending on the purpose of using Personal Information are different. Also, the requirements for each personal information lifecycle are varied. Therefore, this study suggests six purposes for companies to use healthcare data. It examines the considerations during the lifecycle in which personal information is collected to be destroyed.

• Journal of Digital Policy
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• v.1 no.1
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• pp.15-20
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• 2022

Recently, the healthcare field is trying to develop a model that can improve service quality by reflecting the requirements of various industrial fields. In this paper, we propose an Internet of Behavior (IoB) environment model that can process users' healthcare information in real time in a 5G environment to improve healthcare services. The purpose of the proposed model is to analyze the user's healthcare information through deep learning and then check the health status in real time. In this case, the biometric information of the user is transmitted through communication equipment attached to the portable medical equipment, and user authentication is performed through information previously input to the attached IoB device. The difference from the existing IoT healthcare service is that it analyzes the user's habits and behavior patterns and converts them into digital data, and it can induce user-specific behaviors to improve the user's healthcare service based on the collected data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.718-721
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• 2017

Natural language processing, which is the basis of text mining, differs depending on the type of language. Especially, Hangeul, which has relatively high freedom of expression compared to other languages, has various forms of words depending on the use of ending. The part that does not change in these various forms of words is called the stem. For effective text mining, it is essential to extract words and unify various types of words. Therefore, this paper proposes an extraction algorithm for Hangul word for effective text mining of Hangul document.

• Women's Health Nursing
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• v.29 no.3
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• pp.153-159
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• 2023

• Journal of Digital Convergence
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• v.11 no.11
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• pp.747-751
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• 2013

Researches on U-Healthcare service integrating medical information and IT technologies are actively conducted. U-Healthcare service is the next generation's medical paradigm that ensures conveniences to many users so that the society recognizes the importance and attempts for commercialization through various business model are performed. To form such U-Healthcare service market safely, various policies on the social structure should be established through the standard and the medical law to systemize of the medical information led by the governmen. Especially, the government's security policy to ensure the safety for the government leading visualization of U-Healthcare should be firmly established. Firstly, this paper presents U-healthcare Service and policy guideline. Secondly, it analyzes security threatening factors for the safe U-Healthcare service. By classifying the analyzed security threatening factors based on three major elements of the security, Confidentiality, Integrity and Availability of security policy for each element is proposed.

• Journal of Digital Convergence
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• v.12 no.1
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• pp.397-403
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• 2014

In u-Healthcare environment, large amounts of important medical information is processed through wireless communication. Therefore there is a need to increase the efficiency of the network system of sending ECG data. This paper presents a compression solution for efficient ECG data transmission(ECGLZW) in u-Healthcare environment. The results showed that the average compression ratio of ECGLZW was 4.6, which got 200% better than existing methods(Huffman and LZW compression). ECGLZW's high compression ratio can increase the efficiency of wireless channels. As a result, reliable communication and security of u-Healthcare information could be achieved by applying these remaining channels to retransmission and encryption.

• Journal of the Korean Medical Association
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• v.61 no.12
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• pp.765-775
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• 2018

With growing interest in novel digital healthcare devices, such as artificial intelligence (AI) software for medical diagnosis and prediction, and their potential impacts on healthcare, discussions have taken place regarding the regulatory approval, coverage, and clinical implementation of these devices. Despite their potential, 'digital exceptionalism' (i.e., skipping the rigorous clinical validation of such digital tools) is creating significant concerns for patients and healthcare stakeholders. This white paper presents the positions of the Korean Society of Radiology, a leader in medical imaging and digital medicine, on the clinical validation, regulatory approval, coverage decisions, and clinical implementation of novel digital healthcare devices, especially AI software for medical diagnosis and prediction, and explains the scientific principles underlying those positions. Mere regulatory approval by the Food and Drug Administration of Korea, the United States, or other countries should be distinguished from coverage decisions and widespread clinical implementation, as regulatory approval only indicates that a digital tool is allowed for use in patients, not that the device is beneficial or recommended for patient care. Coverage or widespread clinical adoption of AI software tools should require a thorough clinical validation of safety, high accuracy proven by robust external validation, documented benefits for patient outcomes, and cost-effectiveness. The Korean Society of Radiology puts patients first when considering novel digital healthcare tools, and as an impartial professional organization that follows scientific principles and evidence, strives to provide correct information to the public, make reasonable policy suggestions, and build collaborative partnerships with industry and government for the good of our patients.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.2
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• pp.35-52
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• 2023

Recently, as the non-face-to-face environment has developed due to COVID-19 and environmental pollution, the importance of online digital healthcare is increasing, and venture start-ups and activities such as health care, telemedicine, and digital treatments are also actively underway. This study conducted the impact on the acceptability of digital healthcare smartwatches with an integrated approach of the expanded integrated technology acceptance model (UTAUT2) and the behavioral inference model (BRT). The most advanced integrated technology acceptance model for innovative technology acceptance research was used to identify major factors such as utility expectations, social effects, convenience, price barriers, lack of alternatives, and behavioral intentions. For the study, about 410 responses from ordinary people in their teens to 60s across the country were collected, and based on this, the hypothesis was verified using structural equations after testing reliability and validity of the data. SPSS 23 and AMOS 23 were used for research analysis. Studies have shown that personal innovation has a significant impact on the reasons for acceptance (use value, social impact, convenience of use), attitude, and non-use (price barriers, lack of alternatives, and barriers to use). These results are the same as the results of previous studies that confirmed the influence of the main value of innovative ICT on user acceptance intention. In addition, the reason for acceptance had a significant effect on attitude, but the effect of the reason for non-acceptance was not significant. It can be analyzed that consumers are interested in new ICT products and new services, but purchase them more carefully and selectively. This study has evolved from the acceptance analysis of general-purpose consumer innovation technology to the acceptance analysis of consumer value in smartwatch digital healthcare, which is a new and important area in the future. Industrially, it can contribute to the product's purchase and marketing. It is hoped that this study will contribute to increasing research in the digital healthcare sector, which will play an important role in our lives in the future, and that it will develop into in-depth factors that are more suitable for consumer value through integrated approach models and integrated analysis of consumer acceptance and non-acceptance.

• Journal of Digital Convergence
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• v.12 no.7
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• pp.285-290
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• 2014

In these days the patient can be easy to see the treatment results at home without going directly to hospital. Despite the many advantages that the patient is got optimum service timely, the currently used personal healthcare devices have no compatibility because the manufacturer use the proprietary software and hardware protocols. For these issues, standardization is required between the set-top box and the individual healthcare devices. In this paper, we designed the healthcare set-top box possible to biometric data transmission by using a standard IEEE P11073 between the device and the set-top box. Because the set-top box using IEEE P11073 standardization can transfer data independently, we are expected to make it contribute significantly to the healthcare business.