• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.815-817
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• 2014

According to a rapid development of medical technology and increasing requirements of the users on prevention and control of diseases, whole healthcare services are changing into user-oriented services. There are many attempts and studies on integrating users' medical information but it is so difficult to implement a true user-oriented medical services because carrying the information from each medical facility to the integrated medical information system involves many conflicts of interests and authentication problems. This paper presents integrated medical information system which provides real-time medical services, allowing the users to be a critical player who can receive the medical information they want from any medical facility on their mobile devices without any change in the form of documents in relation to those issued by that facility and give that information themselves to the system through the mobile devices.

• Journal of Internet Computing and Services
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• v.16 no.2
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• pp.109-115
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• 2015

The new medical device technologies for bio-signal information and medical information which developed in various forms have been increasing. Information gathering techniques and the increasing of the bio-signal information device are being used as the main information of the medical service in everyday life. Hence, there is increasing in utilization of the various bio-signals, but it has a problem that does not account for security reasons. Furthermore, the medical image information and bio-signal of the patient in medical field is generated by the individual device, that make the situation cannot be managed and integrated. In order to solve that problem, in this paper we integrated the QR code signal associated with the medial image information including the finding of the doctor and the bio-signal information. bio-signal. System implementation environment for medical imaging devices and bio-signal acquisition was configured through bio-signal measurement, smart device and PC. For the ROI extraction of bio-signal and the receiving of image information that transfer from the medical equipment or bio-signal measurement, .NET Framework was used to operate the QR server module on Window Server 2008 operating system. The main function of the QR server module is to parse the DICOM file generated from the medical imaging device and extract the identified ROI information to store and manage in the database. Additionally, EMR, patient health information such as OCS, extracted ROI information needed for basic information and emergency situation is managed by QR code. QR code and ROI management and the bio-signal information file also store and manage depending on the size of receiving the bio-singnal information case with a PID (patient identification) to be used by the bio-signal device. If the receiving of information is not less than the maximum size to be converted into a QR code, the QR code and the URL information can access the bio-signal information through the server. Likewise, .Net Framework is installed to provide the information in the form of the QR code, so the client can check and find the relevant information through PC and android-based smart device. Finally, the existing medical imaging information, bio-signal information and the health information of the patient are integrated over the result of executing the application service in order to provide a medical information service which is suitable in medical field.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.721-723
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• 2015

Recently importance and scalability of cloud computing technology is rapidly emerging, it tends to have applied to various information systems. Many services have been made in mobile cloud environment, and medical information service quick application is required. When the medical information is important information of individuals to leakage, because you can cause serious problems, the problem of secure authentication procedures must be resolved. Therefore, in this paper, we propose an authentication scheme that can be more efficiently manage the medical information system in a mobile cloud environment.

• The Korean Society of Law and Medicine
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• v.24 no.1
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• pp.43-65
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• 2023

The healthcare industry is a digital healthcare that combines technology based on the 4th Industrial Revolution, dealing with information on individual health and medical care, and is a fusion of health care services and medical science and technology. It is questionable whether digital healthcare according to the paradigm change can be discussed by the concept of medical practice under the existing Medical Act. There is no clear definition of the concept of medical practice in the Medical Service Act, but the concept is established through precedents. In addition, under the Medical Service Act, the subject of medical practice is limited to medical personnel. However, digital healthcare sometimes diagnoses and treats diseases using digital technology by medical personnel. On the other hand, what is possible by non-medical personnel is digital healthcare. This is because digital healthcare is understood as a concept that includes health care such as exercise, eating habits, and weight control. For this reason, if the concept of medical practice under the "Medical Act" on digital healthcare is included, it is subject to criminal punishment for "unlicensed medical practice" prescribed in Article 27 of the "Medical Act". In the health and medical industry, digital transformation and convergence with information and communication technology are rapidly progressing. As a result, there is a need to newly define it as 'digitalized medical practice' or 'information and communication technology (ICT)-based medical practice' separately from existing medical practices. The concept of medical practice has variability, not a fixed and invariable concept. However, in response to this demand, it is not an infinite expansion of the concept of medical practice, but a request to reset its scope. Therefore, the concept of medical practice should be legislated by reflecting the demand of consumers for the medical service system.

• Annual Conference of KIPS
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• 2005.11a
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• pp.953-956
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• 2005

보건의료정보는 개인의 가장 민감한 정보로 최상의 보호가 이뤄져야하는 한편, 국민 건강과 복지 향상을 위한 공익의 성격도 강하여 관리와 책임에 대한 명확한 지침이 반드시 필요하다. 본 연구에서는 보건의료 부문의 특성과 정보화 현황을 반영하고 선행연구의 한계점을 보완하여 국내 보건의료 환경에 적합한 정보보호관리 모델을 개발하였다. BS7799, HIPAA Security Rule, HL7 EHR SIG 기능명세 등을 참고하여 필요성, 정보보호 목적/전략 수립, 위험분석/평가, 정보보호관리 정책수립, 정보보호관리 프레임워크 설계, 관리적 보안, 물리적 보안, 기술적 보안, 정보보호관리 평가,운영관리의 총 10개 세부 프로세스와 111개의 이행지표로 구성된 본 모델은 보건의료정보 취급자에게 실행 지침을 제공하여 보건의료정보시스템의 안정성 향상과 국민 보건복지 수준 향상에 이바지할 수 있을 것으로 기대된다.

• 한국경영정보학회:학술대회논문집
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• 2007.11a
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• pp.395-401
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• 2007

본 논문은 의료정보시스템 관련 표준인 HL7(Health Level 7)의 정보를 토대로 WS-CDL(Web Service Choreograph Description Language) 웹 서비스를 유도하여 의료정보시스템의 상호운용성을 확보하는데 기여하는 논문으로, 웹 서비스화에 있어 인터페이스 측면만이 아닌 코리오그래피 정보까지도 유도해내는 프레임워크를 제시한다. 또한 현재 HL7에서 다루고 있는 부분 외에도 WS-CDL로 대표되는 코리오그래피 기술 언어의 생성부분을 추가하여 참여자간에 연동 구조를 공유할 수 있게 함으로써, 기술 언어의 생성 부분을 추가하기 전보다 참여자간의 원활한 상호연동이 일어날 수 있도록 돕는 등의, 다양한 웹 서비스 구성요소에 대한 유도를 가능하게 할 수 있는 방향을 제시하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06d
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• pp.52-55
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• 2010

유비쿼터스 기술의 발전으로, u-City, u-물류, u-기상관측,u-Healthcare 등 다양한 융합 서비스가 개발되어 실생활에 적용되기를 기다리고 있다. 이들 중, 기존 의료서비스에 유비쿼터스 기술을 접목하여 언제, 어디서나 보건의료서비스를 제공하고자 하는 u-Healthcare 서비스의 경우에는, 바이오정보를 포함한 개인 정보와 의료정보를 다루기 때문에 해킹으로 인한 정보유출 사고발생시 국가적인 혼란과 사회적인 불신을 야기할 수 있다. 본 논문에서는 국내외에서 추진하고 있는 u-healthcare 서비스 현황을 조사하고, 이에 대한 보안위협을 제시하여 u-Healthcare 서비스의 정보보호 대책 수립시 활용할 수 있도록 제시한다.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.9
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• pp.317-322
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• 2022

The rapid development of information technology is also bringing about many changes in the medical environment. In particular, it is leading the rapid change of medical image information systems using big data and artificial intelligence (AI). The prescription delivery system (OCS), which consists of an electronic medical record (EMR) and a medical image storage and transmission system (PACS), has rapidly changed the medical environment from analog to digital. When combined with multiple solutions, PACS represents a new direction for advancement in security, interoperability, efficiency and automation. Among them, the combination with artificial intelligence (AI) using big data that can improve the quality of images is actively progressing. In particular, AI PACS, a system that can assist in reading medical images using deep learning technology, was developed in cooperation with universities and industries and is being used in hospitals. As such, in line with the rapid changes in the medical image information system in the medical environment, structural changes in the medical market and changes in medical policies to cope with them are also necessary. On the other hand, medical image information is based on a digital medical image transmission device (DICOM) format method, and is divided into a tomographic volume image, a volume image, and a cross-sectional image, a two-dimensional image, according to a generation method. In addition, recently, many medical institutions are rushing to introduce the next-generation integrated medical information system by promoting smart hospital services. The next-generation integrated medical information system is built as a solution that integrates EMR, electronic consent, big data, AI, precision medicine, and interworking with external institutions. It aims to realize research. Korea's medical image information system is at a world-class level thanks to advanced IT technology and government policies. In particular, the PACS solution is the only field exporting medical information technology to the world. In this study, along with the analysis of the medical image information system using big data, the current trend was grasped based on the historical background of the introduction of the medical image information system in Korea, and the future development direction was predicted. In the future, based on DICOM big data accumulated over 20 years, we plan to conduct research that can increase the image read rate by using AI and deep learning algorithms.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.78-79
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• 2018

Recently, medical technology and IT technology have been trying to converge to overcome limitations of the time and the space in medical technology application. In this study, an app was developed to support remote medical direction for emergency medical services. The developed app allows doctors in remote locations to receive real-time emergency patient situations from emergency paramedics. It can also guide the patient's condition diagnosis and emergency treatment and enable rapid response from the emergency room.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.906-909
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• 2005

There are two reasons that the remote medical is newly embossed. One is the development of the info-communications technology that is possible to the remote diagnosis. Another is changing the thinking about the new medical services for the offerers and consumers. Therefore, we suggest the WPKI mobile-environmental remote diagnosis system. The system could apply more efficient connetion with the very fast developing diagnosis and medical treatment.