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Choi, Mona Professor Nursing

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Detail Major

Nursing Informatics, Healthcare Informatics

  • Career
  • Research

Career

Academic records

  • PhD, University of Maryland, Baltimore, School of Nursing, Baltimore, MD, US (2006)
  • MN, University of Washington, School of Nursing, Seattle, WA, US (2000)
  • BSN, Catholic University, College of Nursing, Seoul, Korea (1994)

Education and research career

  • 2020.9 ~ 2022.8 : Associate Dean of Graduate Program & Graduate School of Nursing, Yonsei University College of Nursing
  • 2018.9 ~ present : Professor, Yonsei University College of Nursing
  • 2013.9 ~ 2018.8 : Associate Professor, Yonsei University College of Nursing
  • 2012.8 ~ 2014.8 : Associate Dean of Student Affairs, Yonsei University College of Nursing
  • 2008.9 ~ 2013.8 : Assistant Professor, Yonsei University College of Nursing
  • 2006 - 2008 Public Health Informatics Fellow,Centers for Disease Control and Prevention, Atlanta, GA, US
  • 2001 - 2006 Research Assistant, University of Maryland, Baltimore School of Nursing, Baltimore, MD, US
  • 2000 - 2001 Staff nurse, University of Washington Medical Center, Seattle, WA, US
  • 1994 - 1998 Staff nurse, Samsung Medical Center

Academic career

  • Applied Clinical Informatics, peer-reviewer
  • Sigma Theta Tau International, Research Grant/conference abstract reviewer
  • Healthcare Informatics Research, editorial board member
  • Asian Nursing Research, peer-reviewer
  • Journal of Advanced Nursing, peer-reviewer
  • Nurse Education Today, peer-reviewer
  • Journal of Korean Academy of Nursing Administration, peer-reviewer

Research Interests

  • Nursing/Healthcare informatics
  • EMR big data analysis
  • Digital health
  • Artificial intelligence in nursing

Major achievements

  • Dr. Choi’s primary area of expertise is nursing informatics, with a research focus on electronic health record (EHR) data analysis, hospital information systems development, and the design of data-driven clinical decision support systems (CDSS). Her work aims to generate robust, real-world evidence from large-scale health data and to translate it into clinically applicable digital interventions that support high-quality, efficient, and safe healthcare delivery across diverse clinical settings. She is actively engaged in research on artificial intelligence-based technologies for nursing documentation and healthcare workflow optimization, contributing to the advancement of intelligent and interoperable healthcare systems.