• Convergence Security Journal
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• v.7 no.1
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• pp.35-43
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• 2007

The object of this paper is to design a biomedical signal measure systems based on sensor networks for the patient, integrated with computing technology. Using a combination of zigbee RF, embedded hardware and software technologies, as it allows the healthcare center to receive the information on emergency situations and the ordinary state of the patients individually or simultaneously, the healthcare center can copy with quickly a state of emergency and assist the normal life of the patient. In order to meet the low power and other requirements for the proposed system, we introduce a zigbee based RP which is the most suitable solution for improving the performance of our beeper system.

• Convergence Security Journal
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• v.19 no.4
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• pp.151-163
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• 2019

As smart devices and communication technologies have developed rapidly, the healthcare industry in the globe is seeing remarkable issues on medical security. At the same time, personal medical records are being shared in the network, which would raise the risk of information security. This thesis aims to develop the curriculum to raise the awareness of information security among workers in medical institutions by referring to NCS(National Competency Standards) International standards, medical institutions' requirements and educational institutions' curriculums on information security based on proven results from medical devices and systems introduced in the public health centers, territorial branches, community health posts and primary, secondary, tertiary hospitals. Thus, this thesis offers the method to improve information security in healthcare institutions through validation testing conducted by medical practitioners and ICT experts.

• Journal of Preventive Medicine and Public Health
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• v.48 no.6
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• pp.265-270
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• 2015

The recent Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak has originated from a failure in the national quarantine system in the Republic of Korea as most basic role of protecting the safety and lives of its citizens. Furthermore, a number of the Korean healthcare system's weaknesses seem to have been completely exposed. The MERS-CoV outbreak can be considered a typical public health crisis in that the public was not only greatly terrorized by the actual fear of the disease, but also experienced a great impact to their daily lives, all in a short period of time. Preparedness for and an appropriate response to a public health crisis require comprehensive systematic public healthcare measures to address risks comprehensively with an all-hazards approach. Consequently, discussion regarding establishment of post-MERS-CoV improvement measures must focus on the total reform of the national quarantine system and strengthening of the public health infrastructure. In addition, the Korea Centers for Disease Control and Prevention must implement specific strategies of action including taking on the role of "control tower" in a public health emergency, training of Field Epidemic Intelligence Service officers, establishment of collaborative governance between central and local governments for infection prevention and control, strengthening the roles and capabilities of community-based public hospitals, and development of nationwide crisis communication methods.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.14
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• pp.5607-5611
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• 2015

Thousands of people die each year from cancer due to occupational causes. To reduce cancer in workers, preventive strategies should be used in the high-risk workplace. The effective prevention of occupational cancer requires knowledge of carcinogen agents. Like other areas of healthcare industry, occupational health has been affected by information technology solutions to improve prevention, early detection, treatment and finally the efficiency and cost effectiveness of the healthcare system. Information technology solutions are thus an important issue in the healthcare field. Information about occupational cancer in information systems is important for policy makers, managers, physicians, patients and researchers; because examples that include high quality data about occupational cancer patients and occupational cancer causes are able to determine the worker groups which require special attention. As a result exposed workers who are vulnerable can undergo screening and be considered for preventive interventions.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.4
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• pp.25-31
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• 2015

Smart healthcare environments which merge medical and IT technology are getting ready for the third generation centering EHR from current second generation. As a basic technology for the introduction and activation of EHR systems it requires heterogeneous network interworking techniques between various wired and wireless medical devices. Interworking technology for heterogeneous network among various medical devices is needed to introduce EHR system. The heterogeneous network interworking technology is needed for construction of a reliable data system to convert each of unstructured data into structured data. Therefore, in this paper, we identify the domestic and international trends of smart medical field and analyze the characteristics of wired and wireless communication technology that is used in a heterogeneous network. and also suggest requirements needed for interworking technology and provide interworking technology based on them. we expect that proposed method which is designed for smart healthcare environments would provide a basic architecture needed for third smart medical technology generation.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.4
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• pp.260-264
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• 2009

There have been many studies on u-Healthcare system for human using sensor network systems. In this paper, we design and implement a healthcare system for pets called uPetCare(Ubiquitous Pet-Care System) that can manage the status of pet on the web. The main functions of this system are 1) gathering data using sensor network, 2) multi-hop communication in sensor network, 3) data compression and aggregation at sink node, 4) storing data in web server, 5) real-time data monitoring using AJAX, 6) activity recognition of pet.

• Korean Medical Education Review
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• v.19 no.1
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• pp.1-9
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• 2017

For the last half-century, interprofessional education (IPE) has been identified and discussed as a critical educational process to facilitate collaboration in order to improve healthcare outcomes for healthcare participants. While the concept is not new, outcome-based research has provided few valid and reliable explanations of whether and how IPE can be effective in healthcare quality improvement. This challenge stems from the struggle to understand the epistemological meaning of IPE. The purpose of this literature review paper is to provide a synthesized understanding of IPE, its meaning, and to provide practical guidance for medical educators. The paper reviewed several key aspects of IPE. Professionalility was discussed to understand the historical background of IPE, followed by an explanation of the international trend of embracing the complexity of health care practice and the need for interprofessional collaboration. Additionally, several theoretical perspectives, such as general systems theory, social identity theory, and community of practice were reviewed to pinpoint what constitutes IPE. Several existing definitions were discussed with similar concepts (i.e., disciplinary vs. professional, and multi-, inter-, vs. trans-) to clarify the nature of knowledge and collaboration in IPE. Three concepts, including practice, authenticity of context, and socialization were proposed as key constructs of IPE, followed by appropriate timing of IPE, outcome research, directions for future research, and guidance for implementation. Community-based medical education practice, professional socialization within a community, and longitudinal system-based outcome research are recommended as future directions for research and practice.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.7
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• pp.2225-2238
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• 2022

For advanced healthcare services, a variety of agents should maintain reliable connections with the manager and communicate personal health and medical information. The ISO/IEEE 11073 standards provide convenient interoperability and the optimized exchange protocol (OEP) supports efficient communication for devices. However, the standard does not specify secure communication, and sensitive personal information is easily exposed through attacks. Malicious attacks may lead to the worst results owing to service errors, service suspension, and deliberate delays. All possible attacks on the communication are analyzed in detail, and the damage is specifically identified. In this study, novel secure communication schemes over the 20601 OEP are proposed by introducing an authentication process while maintaining compatibility with existing devices. The agent performs a secure association with the manager for mutual authentication. However, communication with mutual authentication is not completely free from attacks. Message encryption schemes are proposed for concrete security. The authentication process and secure communication schemes between the secure registered agent (SRA) and the secure registered manager (SRM) are implemented and verified. The experimental analysis shows that the complexities of the SRA and SRM are not significantly different from those of the existing agent and manager.

• The Journal of Korea Robotics Society
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• v.16 no.2
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• pp.172-178
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• 2021

The COVID-19 pandemic has been reshaping the world by accelerating non-contact services and technologies in various domains. Hospitals as a healthcare system lie at the center of the dramatic change because of their fundamental roles: medical diagnosis and treatments. Leading experts in health, science, and technologies have predicted that robotics and artificial intelligence (AI) can drive such a hospital transformation. Accordingly, several government-led projects have been developed and started toward smarter hospitals, where robots and AI replace or support healthcare personnel, particularly in the diagnosis and non-surgical treatment procedures. This article inspects the remaining element of healthcare services, i.e., surgical treatment, focusing on evaluating whether or not currently available laparoscopic surgical robotic systems are sufficiently preparing for the era of post-COVID-19 when contactless is the new normal. Challenges and future directions towards an effective, fully non-contact surgery are identified and summarized, including remote surgery assistance, domain-expansion of robotic surgery, and seamless integration with smart operating rooms, followed by emphasis on robot tranining for surgical staff.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.4
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• pp.1080-1099
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• 2023

Digital healthcare combined with telemedicine services in the form of convergence with digital technology and AI is developing rapidly. Digital healthcare research is being conducted on many conditions including shock. However, the causes of shock are diverse, and the treatment is very complicated, requiring a high level of medical knowledge. In this paper, we propose a shock detection method based on the correlation between shock and data extracted from hemodynamic monitoring equipment. From the various parameters expressed by this equipment, four parameters closely related to patient shock were used as the input data for a machine learning model in order to detect the shock. Using the four parameters as input data, that is, feature values, a random forest-based ensemble machine learning model was constructed. The value of the mean arterial pressure was used as the correct answer value, the so called label value, to detect the patient's shock state. The performance was then compared with the decision tree and logistic regression model using a confusion matrix. The average accuracy of the random forest model was 92.80%, which shows superior performance compared to other models. We look forward to our work playing a role in helping medical staff by making recommendations for the diagnosis and treatment of complex and difficult cases of shock.