• Journal of The Korea Institute of Healthcare Architecture
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• v.4 no.6
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• pp.29-36
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• 1998

Recently considerations of the location and sizes of hospitals and healthcare facilities in a region have increased in Korea. So, this study aims to explore the physical conditions of hospitals and healthcare facilities in a large scale as well as a middle scale medical service boundary. Through the analysis of existing data of the facilities, it was revealed that most of the facilities tend to concentrate in large cities. In sum, the useful data were collected, analyzed, and synthesized through this study and could be used in the relevant research in the future as reference informations.

• Journal of The Korea Institute of Healthcare Architecture
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• v.14 no.4
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• pp.21-30
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• 2008

Domestic hospital architectures were developed with the nation's industrialization after 1960s. Particularly, with the rapidly growing healthcare demands according to The National Health Insurance Plan which was introduced in 1977 and expanded to entire nation in 1989, the number of healthcare facility is also increasing according to the expansion of the existing facilities and construction of new buildings. Now, twenty to thirty years were past since that growing period of healthcare architecture. Many hospitals are facing on the phase of restructuring and modernization for their resources. J university hospital is a representative case of hospital development which the growth of facility was stopped by insufficient site area. This study, analysing its past statistics and drawing data of that hospital, presents the characteristics of the changes and basic data of the master planning for the future hospital development.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.307-313
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• 2024

This study explores the integration of Explainable Artificial Intelligence (XAI) and network science in healthcare, focusing on enhancing healthcare data interpretation and improving diagnostic and treatment methods. Key methodologies like Graph Neural Networks, Community Detection, Overlapping Network Models, and Time-Series Network Analysis are examined in depth for their potential in patient health management. The research highlights the transformative role of XAI in making complex AI models transparent and interpretable, essential for accurate, data-driven decision-making in healthcare. Case studies demonstrate the practical application of these methodologies in predicting diseases, understanding drug interactions, and tracking patient health over time. The study concludes with the immense promise of these advancements in healthcare, despite existing challenges, and underscores the need for ongoing research to fully realize the potential of AI in this field.

• Journal of Sensor Science and Technology
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• v.21 no.4
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• pp.241-248
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• 2012

Recently healthcare industry such as pharmaceutical, medical device and healthcare service technology is growing significantly. Mobile healthcare has attracted big attention due to IT convergence technology. Paradigm of healthcare has been changed from the 1st generation(communicable disease prevention) and the 2nd generation(treatment of disease due to extended life expectancy) to the 3rd generation(extended life expectancy due to prevention and control). In our study, we suggest the 3rd generation mobile healthcare system using Bluetooth based wearable ECG monitoring system and smart phone technology. The mobile healthcare system consists of wearable shirts with Bluetooth communication module, ECG sensor, battery, and mobile phone. The ECG data is obtained by a miniaturized sensor and the data is transferred to a mobile phone using Bluetooth communication. Then, user can monitor his/her own ECG signal on an application using Android in mobile phone. The Bluetooth communication device is used due to highly reliable data transmission property and the Bluetooth chip is embedded in every mobile phone. The wearable shirts with chest belt of Bluetooth ECG module is designed with a focus on convenience in the daily life of a wearer. The ECG signal evaluation software in Android based mobile phone is developed for the health check and the ECG signal variation is tested according to the activities of the wearer such as walking, climbing stairs, stand up and sit down, and so on.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.137-139
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• 2014

Objective: Data exchange, interoperability, and access as a service in healthcare information management systems (HIMS) is the basic need to provision health-services. Data existing in various HIMS not only differ in the basic underlying structure but also in data processing systems. Data interoperability can only be achieved when following a common structure or standard which is shareable such as semantics based structures. We propose web-enabler: A Hadoop MapReduce based distributed approach to transform the existing huge variety data in variety formats to a conformed and flexible ontological format that enables easy access to data, sharing, and providing various healthcare services. Results: For proof of concept, we present a case study of general patient record in conventional system to be enabled for analysis on the web by transforming to semantics based structure. Conclusion: This work achieves transformation of stale as well as future data to be web-enabled and easily available for analytics in healthcare systems.

• Journal of Digital Convergence
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• v.12 no.1
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• pp.573-578
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• 2014

Recently as we enter into the world of an aging society, the U-Healthcare service is newly spotlighted. In order to secure this U-Healthcare, a development of security solution that is suitable for the U-Healthcare environment is required. But the U-Healthcare environment is difficult to apply the existing security solution with the lack of standards, a security solution with high completeness was not developed. At this point, in order to structure the safe U-Healthcare environment, a generating method of an encryption key using the body information that helps the effective key management and ensuring the confidentiality of the data is proposed.

• The Journal of Industrial Distribution & Business
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• v.10 no.3
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• pp.17-23
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• 2019

Purpose - The purpose of this study is to shed light on the healthcare management systems in correlation with the advancing technological world, as well as the many diversified systems in different Asian countries. Research design, data, and methodology - This is a comprehensive study on the past researches that have been conducted on the field of healthcare management in different Asian countries. The different types of healthcare coverages were examined by country. Additionally, incorporating the healthcare system with technology is also investigated in this research. Results - The results have shown that there is a rapid incorporation of the technology in today's society with the healthcare systems. This has promising effects for the future, and for the different healthcare systems that exist within other Asian countries around the world. Conclusion - Quality healthcare for people are still elusive, and the healthcare management should improve on ways to better take care of their patients for the near future. By shedding light on the healthcare systems of Asian countries, an idea of the similarities and differences each hold can be assessed and utilized for future goals. By incorporating technology into healthcare systems, this will help in improving the overall care and quality-of-life that patients receive for the future.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.560-563
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• 2016

The changes in the medical and healthcare are started from the digital technology. The new field of digital healthcare has started fused with existing healthcare, medical technology, and digital technology. It can increase the service effect and reduce healthcare costs by applying ICT skills such as ICBM(Internet of Things, Cloud, Big data and Mobile), artificial intelligence, robotics, virtual, augmented reality, and wearable devices to healthcare services including healthcare, disease management. Recently there has been grafted an artificial intelligence technologies such as AlphaGo of Google and Watson of IBM onto the healthcare area. In this study, we analyze the main technology, ecosystem, platforms for digital healthcare, and lastly future changes in health care services and issues of digital healthcare.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.154-156
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• 2012

This paper presents a user authentication scheme for healthcare application using wireless medical sensor networks, where wireless medical sensors are used for patients monitoring. These medical sensors' sense the patient body data and transmit it to the professionals (e.g., doctors, nurses, and surgeons). Since, the data of an individual are highly vulnerable; it must ensures that patients medical vital signs are secure, and are not exposed to an unauthorized person. In this regards, we have proposed a user1 authentication scheme for healthcare application using medical sensor networks. The proposed scheme includes: a novel two-factor professionals authentication (user authentication), where the healthcare professionals are authenticated before access the patient's body data; a secure session key is establish between the patient sensor node and the professional at the end of user authentication. Furthermore, the analysis shows that the proposed scheme is safeguard to various practical attacks and achieves efficiency at low computation cost.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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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.