재가,방문 건강관리 통합정보시스템 구축을 위한 관련 서식지 항목 매핑 연구

김정은 ( Jeong Eun Kim ),박성애 ( Sung Ae Park ),윤순녕 ( Soon Nyoung Yoon ),이인숙 ( In Sook Lee ),박현애 ( Hyeon Ae Park ),김진현 ( Jin Hyun Kim ),이경순 ( Kyung Soon Lee ) 서울대학교 간호과학연구소 2011 간호학의 지평 Vol.8 No.1

Purpose: This study sought to determine the possibility of developing the data-sharing infrastructure of an integrated information system to improve the quality of home and visit-based healthcare services. Methods: The articles of study here were the forms used by a visiting healthcare agency, a home healthcare system of a home healthcare agency, and those used in long-term care insurance for elderly. We visited a visit-based healthcare agency and a home healthcare agency to survey their forms and interviewed relevant practitioners, and we searched for forms associated with long-term care insurance for the elderly on the Internet. We then organized the terms in each form and mapped them among the form after analyzing the concepts as a whole to inquiry into the possibility of integration. Results: The mapping procedure divided the terms into those related to personal information, problems and interventions. Mapping between the standard system (Omaha system) and the type of form was also done. Conclusion: In this study, we found that programs were configured differently depending on the objectives of the service. It is necessary to develop the program with an integrated information system by comparing the three services in terms of their distinct advantages, after which such a service should be utilized. The results of this study can serve as a database for the creation of a new integrated system.

바디 센서 데이터 공유를 위한 모바일 클라우드 의료정보시스템

박성빈(Sung-Bin Park),문석재(Seok-Jae Moon) 융복합지식학회 2016 융복합지식학회논문지 Vol.4 No.1

현재의 의료정보시스템은 병원과 병원, 장치와 장치사이의 환자들의 진료 정보 호환성이 이루어지지 않아서, 환자의 진료 정보 중복으로 인하여 일관성을 해칠 수 있다. 이에 따라 효율적인 의료서비스를 제공하기 위하여 의료정보시스템과 모바일 디바이스 간의 데이터 공유 및 협업 서비스의 지원이 필요하다. 본 논문은 DBaaS 기반의 mCloudHIS를 설계 및 구현한다. mCloudHIS는 BSN 환경에서 수집한 데이터를 의료정보시스템으로 전송하는 과정에서 발생하는 이질성과 의료정보시스템 간의 데이터 상호운용의 충돌 문제를 해결하고, 모바일 디바이스 간의 데이터 공유를 지원한다. 그리고 제안된 시스템은 DBaaS의 스키마 레벨에서의 통합 유형을 이용하여, IEEE 11073 형식의 바디 센서정보를 의료정보 표준인 HL7 형식으로 변환한다. 표준 스키마를 기준으로 메타 쿼리를 생성하여, JSON 형식의 문서지향데이터로 데이터를 이동하고, 이를 의료정보시스템의 데이터베이스로 변환한다. 이를 바탕으로 협업 환경에서 바디센서 정보 필터링 및 변환과 의료정보 공유 서비스 과정을 구현한다. Current health information systems is that medical information of patients has not been done compatibility between devices and hospitals. Thus, it can harm the consistency of patient care information due to the redundancy information. Accordingly, in order to provide efficient health care services, it is necessary to support data sharing and collaboration service between medical information systems and mobile devices. This paper proposes the design and implementation method of the mCloudHIS based the DBaaS. The mCloudHIS solves the heterogeneity that occurs in the process of transmitting the collected data in the BSN environment to the medical information system and data interoperability conflicts between medical information systems and supports the data sharing between the mobile devices. And using the integrated type of the schema level of the DBaaS, the proposed system converts the body sensor information of IEEE 11073 to medical information form of the standard HL7 format. It creates the Meta Query based on the standard schema, moves the data into the document-oriented data of the JSON format, and converts it into a database of the Hospital Information System. This paper implements a process of shared services of conversion and filtering and medical information of the body sensor information in collaborative environment using the proposed method.

U-Healthcare 서비스를 위한 통합의료정보시스템의 구축방안

정용식(Yong Sik Jung) 한국산업정보학회 2010 한국산업정보학회논문지 Vol.15 No.2

현대사회는 정보화의 개념을 넘어서 유비쿼터스(Ubiquitous) 컴퓨팅 사회라고 말한다. 그리고 정보기술(IT)은 관련기술과의 융합으로 시스템들을 서로 통합하는 형태로 발전하고 있으며, 특히 유비쿼터스 환경에서의 의료정보 산업은 U-Healthcare 서비스 분야에 많은 관심을 가지고 있다. 본 연구에서는 첫째, U-Healthcare 서비스 환경과 통합의료정보시스템의 구성내용을 살펴보고, 둘째, 의료정보시스템의 통합을 위한 기본적 기술요소인 데이터웨어하우스, 네트워크, 통신표준화 및 U-healthcare 서비스 관련기술 등을 검토한다. 마지막으로 이러한 기술적 요소들의 관점에서 U-Healthcare 서비스를 위한 새로운 통합의료정보시스템의 구축방안과 운영과제를 제안하였다. 이것은 고객들을 실시간으로 근접간호(POC : Point of Care)하고, 고객 개개인의 다양한 진료 데이터를 이용하여 정확한 진단을 하고, 그 정보가 다시 고객에게 전달됨으로써 고객만족이 향상될 것으로 기대된다. Modern society can be described as ubiquitous computing over the concept of information. Information technology(IT) has been developing in a way that relative technologies are integrated to each other. Especially in ubiquitous environment, medical information industry shows significant interest in the U-healthcare service area. This paper will first look into U-healthcare service environment and component of Integrated Medical Information Systems(IMIS). Secondly, it examines the basic technological factors for integrated medical information systems, which is datawarehouse, network, communication standards and technology related U-healthcare service. Finally it proposes how to implement and operate new integrated medical information system for ubiquitous health care service. The system will do point of care(POC) for customers by real time and diagnose them using their various and personal medical data. The information will be communicated back to the customers, which will improve their satisfaction.

표준환경을 이용한 통합의료정보시스템 개발

공재근,좌용권,이혜자,윤석민 대한의료정보학회 1998 Healthcare Informatics Research Vol.4 No.2

의료관련감염에서 감시 개선을 위한 평가

박창은 대한임상검사과학회 2019 대한임상검사과학회지(KJCLS) Vol.51 No.1

The development of reliable and objective definitions as well as automated processes for the detection of health care-associated infections (HAIs) is crucial; however, transformation to an automated surveillance system remains a challenge. Early outbreak identification usually requires clinicians who can recognize abnormal events as well as ongoing disease surveillance to determine the baseline rate of cases. The system screens the laboratory information system (LIS) data daily to detect candidates for health care-associated bloodstream infection (HABSI) according to well-defined detection rules. The system detects and reserves professional autonomy by requiring further confirmation. In addition, web-based HABSI surveillance and classification systems use discrete data elements obtained from the LIS, and the LIS-provided data correlates strongly with the conventional infection-control personnel surveillance system. The system was timely, acceptable, useful, and sensitive according to the prevention guidelines. The surveillance system is useful because it can help health care professionals better understand when and where the transmission of a wide range of potential pathogens may be occurring in a hospital. A national plan is needed to strengthen the main structures in HAI prevention, Healthcare Associated Prevention and Control Committee (HAIPCC), sterilization service (SS), microbiology laboratories, and hand hygiene resources, considering their impact on HAI prevention. 감염감시를 위한 신뢰성 있고 객관적인 의료관련 감염의 정의 및 자동화 된 프로세스를 개발하는 것이 중요하다. 그러나 자동화 된 감시 시스템으로의 전환은 여전히 어려운 과제이다. 초기의 발생 확인은 대개 비정상적인 사건과 진행중인 질병 감시를 인식하는 임상 검사자들이 기준선 비율을 결정하도록 요구한다. 이 시스템은 잘 정의 된 감시 규칙에 따라 의료 관련 혈류감염의 후보를 감시하기 위해 매일 검사정보 시스템 데이터를검사한다. 시스템은 추가 확인을 요구함으로써 전문적인 자율성을 탐지하고 예약한다. 또한 웹 기반 혈류감염 감시 및 분류 시스템은 검사실 정보 시스템에서 얻은 개별 데이터 요소를 사용할 수 있고 검사정보 시스템은 기존의 감염 제어 인력 감시 시스템과 높은 상관관계가 있는 데이터를 제공한다. 이런 시스템은예방 지침에 따를 경우 적절하고, 수용 가능하며, 유용하고 민감하다. 감시 시스템은 병원에서 광범위한 병원균의 전파가 언제어디서 발생하는지에 대한 이해를 획기적으로 향상시키기 때문에 유용하다. 국가적 차원의 계획은 의료관련감염 예방, 보건 관련 예방 통제위원회(HAIPCC), 살균 서비스(SS), 미생물학 실험실, 손 위생 차원의 주요 구조를 강화하기 위해 추진되어야하며해당 지역은 의료관련 감염 예방에 미치는 영향을 고려하여 선정해야 한다.

A Personalized Healthcare Analysis System in Ubiquitous Environment

Sain, Mangal,Chung, Wan-Young,Lee, Hoon-Jae The Korea Institute of Information and Commucation 2011 Journal of information and communication convergen Vol.9 No.2

With the recent trends and the adaptation of further advancement in personal healthcare system leads to develop some application which can work independent and user can operate that application without much interference of physician or any specialist user. To meet these needs, this paper proposes and implements a progressive architecture for the personal healthcare information system. This new architecture will not only play the role of middleware but also provide a analysis tool to process that different sensor data which is collected from different sensors implemented on patient body and environment. After collecting that data, with the help of various developed applications this data can be convert into useful information which will be stored in application server for further use and research. These features can be enabled by simple and effortless interactions of normal users and act autonomously to support their activities. This proposed personal healthcare architecture will also provide analysis report to the doctors and patient or various users for further instructions. The analysis report consists of healthcare data analysis results and history of patients. We are considering healthcare data like ECG, which is an important aspect for basic healthcare need.

Smart Healthcare System Using Back-Propagation Algorithm

김태연 사단법인 미래융합기술연구학회 2020 아시아태평양융합연구교류논문지 Vol.6 No.1

The recent increase in social needs due to the development and aging of devices suitable for healthcare has led to the development of smart healthcare systems and suggests a new medical paradigm. As a result, there is a significant increase in the movement to accommodate changing health care concepts and analyses of measured biometric information using multiple measurement sensors are needed for ongoing healthcare. In order to provide rapid diagnosis and personalized diagnosis through the analyzed biometric information, a smart healthcare system with biometric technology is essential. In this paper, the goal is to store biometric information measured through multiple biometric sensors (blood pressure, heart rate, and body temperature sensors) in the DB using XBee sensors and then analyze stored biometric information through back-propagation algorithm, which is a neural network algorithm to derive the user's current state. As a result of the performance evaluation, the back-propagation algorithm for biosignal analysis showed an error rate of 2.96% on average and showed the lowest error rate when the window size was divided by 3000. In addition, the proposed system showed 87.6% accuracy through 700 performance evaluation data. It is expected that the proposed system will have high reliability and efficiency. The purpose of this study is to help the development of smart healthcare technology through researching the user-based service model and securing high quality data and contents based on smart healthcare using the proposed neural network based smart healthcare system.

클라우드 컴퓨팅 환경에서 개인의료정보를 통합한 CloudHIS 시스템

조영복(Young-Bok Cho),우성희(Sung-Hee Woo),이상호(Sang-Ho Lee) 한국컴퓨터정보학회 2014 韓國컴퓨터情報學會論文誌 Vol.19 No.5

오늘날의 의료산업은 첨단 IT에 기반으로 언제, 어디서나 사용 및 접근이 가능한 인간중심의 U-헬스케어 패러다임으로 대변될 수 있다. 또한의료산업은정보통신기술발달을기반으로많은발전 및 응용에 관한 연구가 활발히 진행되고 있다. 의료정보시스템은 의료 IT 정보 시스템들이 통합되는 방향으로 진화해가면서 발전된 IT와 융합한 u-헬스케어 시스템 구축을 목표로 하고 있다. 따라서 이 논문에서는 분산된 의료정보 시스템을 이용해 자유로운u-헬스케어 서비스를 제공한다. 제안 시스템은 상호 이질적인 개인의료정보 데이터인 PHR을 하나로 통합하여 IaaS 클라우드 컴퓨팅 기반으로 운영관리 한다. 제안 시스템은 PHR을 기존 웹기반으로 통합 운영하는 방법보다 접근시간은 24%, 서비스 처리를 위한 대기시간은 4.3% 향상됨을 실험을 통해 증명하였다. The characteristics of today's health care industry, based on the state of the art IT can be represented as a paradigm of human-oriented ubiquitous and accessible as possible by U-Health care. In addition, the healthcare industry is information and communication technologies (ICT) developments regarding the many advances and applications based on the research being carried out actively. Medical information system has been developed toward combining information systems of medical IT and it sets its sights on the fusion of developed IT and u-healthcare system. So changing distributed medical information systems into a safe PHR integrated system based on IaaS cloud computing is suggested in order to forge u-healthcare system with the times in this paper. Our experimental results show that our proposed system increased the data access time by about 24% and reduces the waiting time for processing service by about 4.3% over the web-based PHR.

The Design of mBodyCloud System for Sensor Information monitoring in the Mobile Cloud Environment

Sungbin Park,Seok-Jae Moon,Jong-Yong Lee,Kye-Dong Jung 한국인터넷방송통신학회 2016 International Journal of Internet, Broadcasting an Vol.8 No.1

Recently, introduced a cloud computing technology to the IT industry, smart phones, it has become possible connection between mobility terminal such as a tablet PC. For dissemination and popularization of movable wireless terminal, the same operation have focused on a viable mobile cloud in various terminal. Also, it evolved Wireless Sensor Network(WSN) technology, utilizing a Body Sensor Network(BSN), which research is underway to build large Ubiquitous Sensor Network(USN). BSN is based on large-scale sensor networks, it integrates the state information of the patient's body, it has been the need to build a managed system. Also, by transferring the acquired sensor information to HIS(Hospital Information System), there is a need to frequently monitor the condition of the patient. Therefore, In this paper, possible sensor information exchange between terminals in a mobile cloud environment, by integrating the data obtained by the body sensor HIS and interoperable data DBaaS(DataBase as a Service) it will provide a base of mBodyCloud System. Therefore, to provide an integrated protocol to include the sensor data to a standard HL7(Health Level7) medical information data.

CloudeMR : A Cloud Based Electronic Medical Record System

보안공학연구지원센터(IJHIT) 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.4

The utilization of modern information technology in the delivery of healthcare is to enhance the availability and reliability of improved healthcare services to patients at a reduced cost. The alternative in this context is to outsource the computing storage resources with the help of cloud infrastructure. The drastic reduction in the cost of healthcare services, utilization of resources, maintainability and the adoption of new technologies are some of the benefits that healthcare centers in rural areas can get from cloud-based medical information system. Also, new prospects such as easy and ever-present access to medical records and the chances to make use of services of physicians that are not readily available in the rural areas are some of the opportunities offered by a cloud-based medical information system. This paper proposes and implements a cloud-based electronic medical record (CloudeMR) system to improve the delivery of healthcare system in the rural communities of Nigeria.