• Title/Summary/Keyword: Domains of health information systems

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USN기반 u-Healthcare 시스템 트래픽도메인 환경에서의 보안위험도 평가체계 설계방안 (A Building Method of Security Vulnerability Measurement Framework under u-Healthcare System Traffic Domain Environment Based on USN)

  • 노시춘
    • 융합보안논문지
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    • 제11권3호
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    • pp.39-46
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    • 2011
  • 의료정보 기술의 Smart 환경, Ad-hoc networking, 무선통신 환경은 u-Healthcare 요소기술과 함께 정보보안 취약성을 증가시키는 주요 요인이다. 트래픽 도메인이란 u-Healthcare 의료정보시스템을 통과하는 트래픽 구간의 구분 영역으로서 보안기술의 적용이 가능하도록 네트워크 영역을 구분하는 개념이다. 그 구분의 기준은 보안기술의 적용이 필요한 영역, 트래픽 경로와 트래픽 성격이 타 도메인과 차별화 가능한 영역, 보안기술 적용시 타 영역의 보안기능으로 기능중복이 발생치 않는 영역이다. u-Healthcare 의료정보시스템 도메인은 사용자단말구간, 공중통신망 인프라구간, 네트워킹구간, 인트라넷구간으로 도출된다. 의료정보시스템을 도메인별로 구분하여 취약점을 평가하는 이유는 도메인별로 취약점에 대한 대처방법이 다르게 도출되기 때문이다. 본 연구는 의료정보시스템 도메인을 도출하고 도메인별 보안취약성 진단체계를 설계하여 USN 기반 u-Healthcare 시스템에서의 보안대책을 강구하기 위해서이다. 본 연구에서 제안하는 모델을 사용할 경우 현재까지 막연하게 진행 되어온 USN 기반 의료정보네트워크 보안취약성 진단대책 수립 방법을 좀 더 효과적으로 수행 할 수 있을 것으로 기대한다.

헬스케어시스템을 위한 역할 기반의 신뢰협상 모델

  • 조현숙;이형
    • 한국정보기술응용학회:학술대회논문집
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    • 한국정보기술응용학회 2007년도 춘계학술대회
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    • pp.84-102
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    • 2007
  • Security is crucial for the successful deployment of large distributed systems. Many of these systems provide services to people across different administrative domains. The traditional identity-based access control mechanisms are un scalable and difficult to manage. Unlike the closed systems, open systems provide services to people from different security domains. Healthcare systems need to be highly available in order for the patients to get a timely treatment. The health care information should be available to authorized users both inside the administrative domain and outside the domain, such as pharmacies and insurance companies. In this paper, we first analyzed the necessities and advantages of importing attribute-based trust-management models into open distributed systems. Then we reviewed traditional access-control models and presented the basic elements of the new trust-management model.

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Un-met Supportive Care Needs of Iranian Breast Cancer Patients

  • Abdollahzadeh, Farahnaz;Moradi, Narges;Pakpour, Vahid;Rahmani, Azad;Zamanzadeh, Vahid;Mohammadpoorasl, Asghar;Howard, Fuchsia
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권9호
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    • pp.3933-3938
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    • 2014
  • Background: Assessment of supportive needs is the requirement to plan any supportive care program for cancer patients. There is no evidence about supportive care needs of Iranian breast cancer patients. So, the aims of present study were to investigate this question and s predictive factors. Materials and Methods: A descriptive-correlational study was conducted, followed by logistic regression analyses. The Supportive Care Needs Survey was completed by 136 breast cancer patients residing in Iran following their initial treatment. This assessed needs in five domains: psychological, health system and information, physical and daily living, patient care and support, and sexuality. Results: Patient perceived needs were highest in the health systems and information (71%), and physical and daily living (68%) domains. Logistic regression modeling revealed that younger participants have more un-met needs in all domains and those with more children reported fewer un-met needs in patient care and support domains. In addition, married women had more un-met supportive care needs related to sexuality. Conclusions: The high rate of un-met supportive care needs in all domains suggests that supportive care services are desperately required for breast cancer patients in Iran. Moreover, services that address informational needs and physical and daily living needs ought to be the priority, with particular attention paid to younger women. Further research is clearly needed to fully understand supportive care needs in this cultural context.

Education satisfaction and self-assessment of competency among new general dentists in Korea

  • Ji, Young-A;Kwon, Ho-Beom;Kim, Ryan JinYoung;Baek, Seungho
    • 대한치과의사협회지
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    • 제57권9호
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    • pp.504-513
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    • 2019
  • Dental education is gradually transitioning to competency-based education system, which aims to help dentists achieve certain core competencies by means of various systems, such as curriculum accreditation. This study examined satisfaction with dental school education and the differences in the perceived importance and self-assessment of competencies among general dentists, in an attempt to propose a desirable direction for dental education. A questionnaire was administered to new general dentists who graduated from a dental school within the past 10 years. The results of the survey were analyzed using the Importance-Performance Analysis to understand differences in dentists' perceptions. Overall satisfaction with education was low in terms of the curriculum's relevance to actual practice and its capacity for cultivating required competencies. Furthermore, many of the respondents strongly perceived the need to improve dental education. Additional investigations into the satisfaction with education showed no difference. Among the seven key competency domains, dentists perceived Health Promotion to be important and also assessed themselves as having high competence. However, regarding the perceived importance of the remaining domains, self-assessment of competence was low for Professionalism, Communication & Interpersonal Skills, Knowledge Base, Information Handling & Critical Thinking, Clinical Information Gathering, Diagnosis & Treatment Planning, and Establishment & Maintenance of Oral Health. The results of this study suggest that a competency-based education model should be developed and incorporated into dental education to set performance standards and to promote systematic self-assessment in order to foster the development of competence in dental students.

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Perspectives on Clinical Informatics: Integrating Large-Scale Clinical, Genomic, and Health Information for Clinical Care

  • Choi, In Young;Kim, Tae-Min;Kim, Myung Shin;Mun, Seong K.;Chung, Yeun-Jun
    • Genomics & Informatics
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    • 제11권4호
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    • pp.186-190
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    • 2013
  • The advances in electronic medical records (EMRs) and bioinformatics (BI) represent two significant trends in healthcare. The widespread adoption of EMR systems and the completion of the Human Genome Project developed the technologies for data acquisition, analysis, and visualization in two different domains. The massive amount of data from both clinical and biology domains is expected to provide personalized, preventive, and predictive healthcare services in the near future. The integrated use of EMR and BI data needs to consider four key informatics areas: data modeling, analytics, standardization, and privacy. Bioclinical data warehouses integrating heterogeneous patient-related clinical or omics data should be considered. The representative standardization effort by the Clinical Bioinformatics Ontology (CBO) aims to provide uniquely identified concepts to include molecular pathology terminologies. Since individual genome data are easily used to predict current and future health status, different safeguards to ensure confidentiality should be considered. In this paper, we focused on the informatics aspects of integrating the EMR community and BI community by identifying opportunities, challenges, and approaches to provide the best possible care service for our patients and the population.

헬스 및 웰니스 플랫폼: 서비스 및 가용 기술에 관한 연구

  • ;;;방재훈;;허태호;;;김도형;이승룡
    • 정보과학회지
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    • 제35권7호
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    • pp.9-25
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    • 2017
  • In this paper, we surveyed state-of-the-art health and wellness platforms. The motivation of this paper is to review the state-of-the-art health and wellness platforms and their maturity with respect to adoption of latest enabling technologies. The is review is classified into four categories: healthcare systems, AI-assisted healthcare, wellness platforms, and open source health and wellness initiatives. From this comprehensive review, it can be stated that the contemporary healthcare systems are well-adopting wellness due to the concentration shift towards prevention. Thus, the gap between health and wellness is slowly yet carefully entering gray area. Where both the domains can freely invoke each other's services, and supporting enabling technologies. Furthermore, the biomedical researchers and physicians are no longer carrying the myopic views of trusting their knowledge for diagnosis. AI-assisted technologies based on machine learning and big data are influencing today's prognosis with trust and confidence.

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An Empirical Investigation of Task-Technology Fit: Context of RFID in Disaster Management

  • Ahmed, Ashir
    • Asia pacific journal of information systems
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    • 제24권3호
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    • pp.345-370
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    • 2014
  • The notion of technological adoption such as Radio Frequency Identification (RFID) has been examined in various domains such as supply chain management, inventory management and health care. However, there are several unanswered questions surrounding how this technology is adopted in disaster management. This study attempts to explore the potential of RFID in disaster management. The notion of Task-Technology Fit (TTF) is deemed suitable for this purpose and thus used as the theoretical framework that is further validated by employing multiple case studies. The empirical findings indicate that there are six key factors influencing the decision to adopt RFID in disaster management. Some relate to aspects of RFID when it is put into practice, namely cost, compatibility, standardisation, implementation and locatability; while the other key factor relates to privacy and security aspect of information. It is hoped that the findings of this research will inform disaster management organizations to better plan the adoption of RFID for their operations.

CDISC Transformer: a metadata-based transformation tool for clinical trial and research data into CDISC standards

  • Park, Yu-Rang;Kim, Hye-Hyeon;Seo, Hwa-Jeong;Kim, Ju-Han
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권10호
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    • pp.1830-1840
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    • 2011
  • CDISC (Clinical Data Interchanging Standards Consortium) standards are to support the acquisition, exchange, submission and archival of clinical trial and research data. SDTM (Study Data Tabulation Model) for Case Report Forms (CRFs) was recommended for U.S. Food and Drug Administration (FDA) regulatory submissions since 2004. Although the SDTM Implementation Guide gives a standardized and predefined collection of submission metadata 'domains' containing extensive variable collections, transforming CRFs to SDTM files for FDA submission is still a very hard and time-consuming task. For addressing this issue, we developed metadata based SDTM mapping rules. Using these mapping rules, we also developed a semi-automatic tool, named CDISC Transformer, for transforming clinical trial data to CDISC standard compliant data. The performance of CDISC Transformer with or without MDR support was evaluated using CDISC blank CRF as the 'gold standard'. Both MDR and user inquiry-supported transformation substantially improved the accuracy of our transformation rules. CDISC Transformer will greatly reduce the workloads and enhance standardized data entry and integration for clinical trial and research in various healthcare domains.

융합형 u-헬스케어 서비스에서 헬스 정보 교환을 위한 키 트리 기반 관리 체계 설계 (Design of Key Tree-based Management Scheme for Healthcare Information Exchange in Convergent u-Healthcare Service)

  • 김동현;김석수
    • 한국융합학회논문지
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    • 제6권6호
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    • pp.81-86
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    • 2015
  • u-헬스케어에서는 무선 센서와 에드혹 네트워크를 통해 사용자의 건강 정보, 응급 정보를 수집, 분석하고 있으며 상호 운용이 가능한 전자 헬스 정보의 기록 및 전송을 위하여 동적인 액세스 제어를 수행하고 있다. 네트워크 시스템을 이용한 u-헬스케어의 경우 상호 운용 가능한 전자 건강 기록과 민감한 환자 의료 정보 전송은 개인 정보 보호 및 보안에 대한 문제점을 해결하기 위하여 키 관리 체계를 사용하고 있으나 동적인 액세스 제어에서는 그룹 키 관리가 어려우며 그룹에서 접근 맴버를 추가하거나 삭제할 경우에 매번 그룹 키를 변경해야하는 문제점을 가지고 있다. 따라서 본 논문에서는 유비쿼터스 헬스 케어의 동적 액세스를 수행하는 네트워크 환경에서 헬스 정보 교환을 위한 융합형 키 관리 체계방식을 제안한다.

장기요양인력의 질 향상 정보시스템 수용 측정도구: 신뢰타당도 평가 (Acceptance Measure of Quality Improvement Information System among Long-term Care Workers: A Psychometric Assessment)

  • 이태훈;정영일;김홍수
    • 지역사회간호학회지
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    • 제28권4호
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    • pp.513-523
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    • 2017
  • Purpose: We evaluated the psychometric properties of a questionnaire on the acceptance of the quality improvement information system (QIIS) among long-term care workers (mostly nurses). Methods: The questionnaire composes of 21 preliminary questions with 5 domains based on the Technology Acceptance Model and related literature reviews. We developed a prototype web-based comprehensive resident assessment system, and collected data from 126 subjects at 75 long-term care facilities and hospitals, who used the system and responded to the questionnaire. A priori factor structure was developed using an exploratory factor analysis and validated by a confirmatory factor analysis; its reliability was also evaluated. Results: A total of 16 items were yielded, and 5 factors were extracted from the explanatory factor analysis: Usage Intention, Perceived Usefulness, Perceived Ease of Use, Social Influence, and Innovative Characteristics. The five-factor structure model had a good fit (Tucker-Lewis index [TLI]=.976; comparative fit index [CFI]=.969; standardized root mean squared residual [SRMR]=.052; root mean square error of approximation [RMSEA]=.048), and the items were internally consistent(Cronbach's ${\alpha}=.91$). Conclusion: The questionnaire was valid and reliable to measure the technology acceptance of QIIS among long-term care workers, using the prototype.