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가톨릭대학교 간호대학

교수

강민정

강민정 (Min-Jeoung Kang)

  • - 가톨릭대학교 간호대학(BSN)
  • - 가톨릭대학교 대학원 간호학과(MSN)
  • - 가톨릭대학교 대학원 간호학과(PhD)
  • - Harvard Medical School(Post-doc)

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세부전공

성인간호학, 지역사회간호학

연구분야

간호정보, 임상의사결정시스템, 의료용어표준, 임상간호, 응급간호, 환자안전, 지역사회간호

연구성과
논문
  • Embedding, aligning and reconstructing clinical notes to explore sepsis. BMC RESEARCH NOTES. 2021.
  • Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION. 2021.
  • Identifying nursing documentation patterns associated with patient deterioration and recovery from deterioration in critical and acute care settings. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS. 2021.
  • Healthcare Process Modeling to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals): Development and evaluation of a conceptual framework. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION. 2021.
  • Predicting pressure injury using nursing assessment phenotypes and machine learning methods. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION. 2021.
  • Estimating Time to Progression of Chronic Obstructive Pulmonary Disease With Tolerance. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. 2021.
  • Developing Hierarchical Standardized Home Care Nursing Statements Using Nursing Standard Terminologies. International Journal of Medical Informatics. 2020.
  • Development and Validation of Early Warning Score System: A Systematic Literature Review. Journal of Biomedical Informatics. 2020.
  • Mining Clinical Phrases from Nursing Notes to Discover Risk Factors of Patient Deterioration. International Journal of Medical Informatics. 2020.
  • Identifying Nurses’ Concern Concepts about Patient Deterioration Using a Standard Nursing Terminology. International Journal of Medical Informatics. 2020.
  • A temporal Visualization of Chronic Obstructive Pulmonary Disease Progression Using Deep Learning and Unstructured Clinical Notes. BMC Medical Informatics and Decision Making. 2019
  • Unsupervised Machine Learning of Topics Documented by Nurses about Hospitalized Patients Prior to a Rapid-Response Event. Applied Clinical Informatics. 2019.
  • leveraging Clinical Expertise as a Feature - not an Outcome - of Predictive Models: Evaluation of an Early Warning System Use Case. Proceeding of American Medical Informatics Association Annual Fall Symposium. 2019
  • Automated Medication Error Risk Assessment System (Auto-MERAS). Journal of Nursing Care Quality. 2018.
  • Quantifying and Visualizing Nursing Flowsheet Documentation Burden in Acute and Critical Care. Proceeding of the American Medical Informatics Association Annual Fall Symposium. 2018
  • Stakeholder Analysis for Adopting a Personal Health Record Standard in Korea. Health Information Management Journal. 2015.
  • Appropriateness of ICNP in Korean Home Care Nursing. International Journal of Medical Informatics. 2015.
  • Development of Ontology for the Diseases of Spine. Advances in Computer Science and its Applications/ Lecture Notes in Electrical Engineering. 2014.
  • Comparison of Validity of Mapping between Drug Indications and ICD-10. Methods of Information in Medicine. 2014.
저서/역서, 특허
  • NA
학술발표
  • 간호현장에서의 환자 안전 향상을 위한 CDSS 개발 및 적용. 2021 대한의료정보학회 추계학술대회, 2021.
  • 국내학술대회(구연). CONCERN + Clinicians + COVID-19: The Implementation Lifecycle of a Data Science Clinical Decision Support Innovation. American Medical Informatics Association 2021 Clinical Informatics Conference, 2021.
  • 국내학술대회(구연). 패턴이 던지는 메시지- 환자의 상태 악화 예측 시간을 앞당길 수 있다면?. 빅데의터 임상활용연구회, 2021.
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