• 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 Korea Contents Association Conference
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• 2005.05a
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• pp.146-150
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• 2005

The purpose of the present study is to analyze curriculums in colleges operating a department related to medical information in Korea and to propose the roles of medical information professionals, medical information professionals qualifying examination and a plan to raise medical information specialists demanded in the field. In addition, this study purposed to suggest establishing programs for job training and supplementary education of medical information professionals through sharing contents among colleges. For these purposes, this study proposed a plan to construct the infrastructure of Internet-based domestic medical information and education network for the service of integrated medical information system standardized centering on the Healthcare Information Center.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.6
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• pp.1124-1131
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• 2006

The recent medical treatment guidelines and the development of information technology make hospitals reduce the expense in surrounding environment and it requires improving the quality of medical treatment of the hospital. Moreover, MIS, PACS(Picture Archiving and Communication System), OCS, EMR are also developing. Medical Information System is evolved toward integration of medical IT and situation is changing with increasing high speed in the ICT convergence. Mobile component refers to construct wireless system of hospital which has constructed in existing environment. Through RFID development in existing system, anyone can log on easily to internet whenever and wherever. It is the core technology to implement automatic medical processing system. This paper provides a basic review of RFID model, PACS application component services. In addition, designed and implemented database server's component program and client program of mobile application that recognized RFID tag and patient data in the ubiquitous environments. This system implemented mobile PACS that performed patient data based db environments, and so reduced delay time of requisition, medical treatment, lab.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.1107-1110
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• 2005

본 논문은 의료영상진단시스템에서의 의료정보보호를 위한TLS 프로세서의 구현에 관하여 기술하였다. DICOM 3.0 standard의 ‘Part 15. DICOM Security Profile’에서는 TLS와 ISCL 두 가지의 Secure Transport Connection Profile을 정의하고 있고, 인증, 데이터의 무결성 보장, 프리아버시 보호의 기능을 할 수 있도록 몇가지의 알고리즘을 사용할 것을 정의하고 있다. 그 중 TLS Security Profile에는 Triple DES CBC모드와, RSA and SHA를 정의하고 있다. 그리하여 본 논문에서는 세 알고리즘의 개별적인 동작 검증을 마친 후 통합된 TLS Processor를 설계하고 검증하였다. 일반적인 Mux만을 이용한 설계는 임베디드 시스템 적용에 있어서 면적을 많이 차지하는 단점이 나타났다. 따라서 면적을 많이 차지하는 레지스터를 줄이기 위해서 세 알고리즘 블록이 같은 레지스터를 공유하도록 설계하였다. 그리고 임베디드시스템 개발 키트인 IFC-ETK100장비의 FPGA에 회로를 올리고 검증하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.339-341
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• 2011

본 논문에서는 의료정보 연동을 위한 보안 시스템을 설계하기 위해 의료정보 표준과 XML을 조사 및 분석하고, 이를 토대로 보안 시스템이 연동되는 서비스 흐름도 도출 및 시스템 설계를 하였다. 특히, 병원에서 질환관련, 식이관련, 운동관련 데이터를 제공하고, EMR 통합 Gateway를 통해 환자 데이터를 전송 받아 병원 간 개인건강정보 관리 모듈과 임상정보 관리 모듈을 통해 HL7표준을 이용하여 환자 정보를 XML 형태로 교환 하는 경우, 보안 시스템이 고려된다면 향후 다양한 응용 서비스에 안전하게 사용될 수 있을 것이다.

• Information Systems Review
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• v.15 no.2
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• pp.41-58
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• 2013

The purpose of the present study is to theoretically assess IT Implementation Model of Cooper and Zmud (1990) in a hospital IS use context. A case study was applied to analogical study by interview from several end-users of the information systems at a university hospital. This study presented an EMR(Electronic Medical Record) systems how is initially implemented at an initial stage, continually adopted, adapted, accepted at an adoption stage, and finally rountinized and infused into an organization. Our study also elaborated IT Implementation Model as defining EMR development and its impact on nature of IS use in a hospital. This case study explained the characteristics of EMR and hospital organization context conceptually.

• The Journal of the Korea Contents Association
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• v.8 no.12
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• pp.20-27
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• 2008

Hospitals today use independent systems for each department and job such as Hospital Information Sytem(HIS), Picture Archiving Communications System(PACS), Ordering Communication System(OCS), Electronic Medical Record(EMR), Enterprise Resource Planning(ERP), etc and each system employs its own DB. So, it is impossible to integrate information within the institution and difficult to keep transparency and consistency of data. I in this study offered a data integration environment through flexible management linked with other systems, and by doing that, designed a medical CRM frame which offers the optimum service the customer wants at the optimum time. I designed 4 of medical CRM frame: customer relationship management, public relations/marketing, service management, and statistics/analysis by the customer relationship management process standardization and aimed to offer tailored mobile contents according to customer's characters and health situation on the basis of customer's data by securing mobile medical contents for personalized medical information service.

• The Journal of the Korea Contents Association
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• v.8 no.10
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• pp.88-94
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• 2008

This paper is proposed that ontology_based Oriental Medicine Customer Relationship Management system is designed with existing OCS, EMR, ERP system for oriental medicine center of efficient customer information management and analysis. As using ontology technique, we support oriental medicine service at grade according to quality and healthy of the customer. Also we designed 4 kind oriental medicine customer relationship management system frame - customer management, public relations/marketing, service management, statistics/analysis - in the customer management process standardization through a medical expert system.

• 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.

• Journal of Internet Computing and Services
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• v.20 no.5
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• pp.37-47
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• 2019

The purpose of this paper is to construct a system that matches the patient's image disease information with the medical image viewer in providing the medical image information to the medical staff. Currently, medical image information systems that are commercialized mostly provide only one image viewer with various image information of diseases or use incompatible exclusive viewers. For this reason, we designed and implemented a medical image information viewer matching system that integrates and provides specialized viewers that can be selected by diseases' image information. That is, it is a system to match and view medical image viewers based on disease information extracted from tag information stored as the metadata in DICOM file, which is medical image information standard, for disease-specific viewer matching. We analyzed the execution performances through our retrieval service of medical image information from our implementation system, and showed compatibility and control with various viewers.