• 제목/요약/키워드: EMR Adoption

검색결과 4건 처리시간 0.017초

Association between Electronic Medical Record System Adoption and Healthcare Information Technology Infrastructure

  • Lee, Youn-Tae;Park, Young-Taek;Park, Jae-Sung;Yi, Byoung-Kee
    • Healthcare Informatics Research
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    • 제24권4호
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    • pp.327-334
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    • 2018
  • Objectives: The objective of this study was to investigate the relationship between the level of Electronic Medical Record (EMR) system adoption and healthcare information technology (IT) infrastructure. Methods: Both survey and various healthcare administrative datasets in Korea were used. The survey was conducted during the period from June 13 to September 25, 2017. The chief information officers of hospitals were respondents. Among them, 257 general hospitals and 273 small hospitals were analyzed. A logistic regression analysis was conducted using the SAS program. Results: The odds of having full EMR systems in general hospitals statistically significantly increased as the number of IT department staff members increased (odds ratio [OR] = 1.058, confidence interval [CI], 1.003-1.115; p = 0.038). The odds of having full EMR systems was significantly higher for small hospitals that had an IT department than those of small hospitals with no IT department (OR = 1.325; CI, 1.150-1.525; p < 0.001). Full EMR system adoption had a positive relationship with IT infrastructure in both general hospitals and small hospitals, which was statistically significant in small hospitals. The odds of having full EMR systems for small hospitals increased as IT infrastructure increased after controlling the covariates (OR = 1.527; CI, 1.317-4.135; p = 0.004). Conclusions: This study verified that full EMR adoption was closely associated with IT infrastructure, such as organizational structure, human resources, and various IT subsystems. This finding suggests that political support related to these areas is indeed necessary for the fast dispersion of EMR systems into the healthcare industry.

EMR시스템 구축 사례연구: 조선대학교 병원 (The Case Study of EMR System Implementation)

  • 최광석;구철모;이대용
    • 경영정보학연구
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    • 제15권2호
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    • pp.41-58
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    • 2013
  • 최근 국 내외 의료계와 정부는 병원에서 발생하는 진료기록들을 디지털화하여 모든 의료 기관의 전자의료기록을 네트워크로 통합하여 공유하는 첨단 의료정보화에 많은 관심을 가지고 있다. 본 연구는 의료기관의 정보시스템 구축 사례연구로서 조선대학병원의 전자의무기록(EMR: Electronic Medical Record)시스템의 구축 과정을 소개하고 있다. 정보 시스템의 도입에서부터 활용단계까지 Cooper and Zmud(1990)가 제시한 정보시스템 구축 모델을 기반으로 조선대학병원의 EMR 구축 사례를 연구하여 병원정보시스템의 특성과 이슈들을 명확히 하고, 향후 EMR시스템을 도입하고자 하는 의료기관에 유익한 정보를 제공하고자 한다.

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지문인식 기반의 전자의무기록 시스템 인증 모델 (An Authentication Model based Fingerprint Recognition for Electronic Medical Records System)

  • 이용준
    • 정보처리학회논문지C
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    • 제18C권6호
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    • pp.379-388
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    • 2011
  • 의료정보는 환자에게 중요한 개인정보로써 반드시 보호돼야 한다. 특히 전자의무기록에 접근할때, 의료인의 강화된 신원확인에 대한 인증방식이 필요하다. 기존의 공인인증서 기반 인증모델은 개인키 관리, 권한위임 등 문제점으로 전자의무기록의 특성을 반영하지 못했다. 본 논문에서는 전자의무기록 시스템에 의료인이 접근하는 경우 지문인식 기반 인증 모델을 적용하여 강화된 인증방식을 제안한다. 전자의무기록의 지문인증 모델은 의료업무의 특성을 반영하여 개인키 관리, 권한위임 문제를 원천적으로 해결하였다.

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.