Po-Yin Yen, PhD, RN
Assistant Professor of Medicine
Division of General Medical Sciences
School of Medicine
Assistant Professor, Goldfarb School of Nursing, Barnes Jewish College
Po-Yin Yen, PhD, RN, is focused on applied clinical informatics research to support clinicians adapting to health information technology.
Po-Yin Yen, PhD, RN, is an Assistant Professor both in the Institute for Informatics at Washington University School of Medicine in St. Louis, and in Goldfarb School of Nursing, Barnes Jewish College. Dr. Yen completed her Master of Science Degree in Medical Informatics at the Oregon Health & Science University (OHSU), and earned her PhD in Nursing from Columbia University, specialized in Nursing Informatics. Before attending Columbia, she worked as a Research Associate in the Drug Effectiveness Review Project (DERP) team at the Center for Evidence-Based Policy at OHSU – one of the most successful systematic review programs in the U.S.
Dr. Yen is a registered nurse with informatics training and research experience especially in the areas of health information technology (HIT) usability evaluation, human computer interaction, time motion study, and systematic reviews. She received the mentor award from the Epsilon Chapter of the Sigma Theta Tau International (STTI) in 2014, which is an Honor Society of Nursing and aims to advance world health and celebrates nursing excellence through scholarship, leadership, and service. In addition, in February 2016, she was selected as an Alliance for Nursing Informatics (ANI) Emerging Leader. She aims to establish an academic-practice partnership in clinical informatics to enhance the translation of clinical informatics research to the clinical setting, and to promote the application of innovative and trending informatics approaches to inform and improve clinical practice, as well as bridge the gap between informatics research and practice.
Dr. Yen’s research goals are to continue working on applied clinical informatics, foster the connection between research and practice, promote informatics training to the next generation of health professions education, and provide a user-friendly HIT environment for clinicians.
Dr. Yen, together with Dr. Lynn (Marilyn) Schallom, is leading the Applied Clinical Informatics Research Program. For more information about the Applied Clinical Informatics Research Program, click here.
- Clinical informatics
- Technology acceptance
- Human computer interaction
- Literature mining
- Data visualization
- Workflow analysis
- Time motion study
- Xiaonan Ji, PhD, Lead Technical Consultant
- Mikie Rachman, MSHI, CCRN-K, RN-BC, Clinical Research Coordinator, Washington University School of Medicine in St. Louis, Institute for Informatics
- Nicole Pearl, BS, Research Assistant
- Cheng-You Tsai, MS, Data Analyst
- Rui Qiu, BS, Master's Student in Quantitative Finance, Washington University in St. Louis, Olin Business School
- Zifan Wan, BS, Master's Student in Computer Science, Washington University in St. Louis, McKelvey School of Engineering
- Cierra Jethro, BSN, Staff Nurse, Barnes-Jewish Hospital
- Brittany McNeil, BS, Senior Nursing Student, Goldfarb School of Nursing, Barnes Jewish College
- Health Information Technology (HIT) Adaptation: Refocusing on the Journey to Successful HIT Implementation. JMIR Medical Informatics
- Using Ontology-based Semantic Similarity to Facilitate the Article Screening Process for Systematic Reviews. Journal of Biomedical Informatics
- Nursing Informatics Competency Assessment for the Nurse Leader: Instrument Refinement, Validation, and Psychometric Analysis. Journal of Nursing Administration
- Understanding and Visualizing Multitasking and Task Switching Activities: A Time Motion Study to Capture Nursing Workflow. Proceedings of the American Medical Informatics Association 2016 (AMIA 2016 Harriet H. Werley Award Nominee)
- Examining the Distribution, Modularity, and Community Structure in Article Networks for Systematic Reviews. Proceedings of the American Medical Informatics Association 2015
- Examining Construct and Predictive Validity of the Health-IT Usability Evaluation Scale: Confirmatory Factor Analysis and Structural Equation Modeling Results. Journal of American Medical Informatics Association
- Exploring Nurses’ Confirmed Expectations Regarding Health IT: A Phenomenological Study. International Journal of Medical Informatics
- Review of Health Information Technology Usability Study Methodologies. Journal of American Medical Informatics Association