Fei Yu

Assistant Professor, UNC School of Information and Library Science; Health Technology and Informatics Librarian, Health Sciences Library
Fei Yu photo
Manning Hall, UNC Health Sciences Library
Pronouns: She/Her/Hers

Faculty Expertise:

Health informatics and analytics, electronic health records, clinical care research, and research impact metrics

BA (Library and Information Science), Wuhan University
MS (Information Management), Wuhan University
PhD (Library and Information Science), University of Pittsburgh

Dr. Fei Yu is an Assistant Professor at the UNC School of Information and Library Science (SILS). She is also a Health Technology and Informatics Librarian at the UNC Health Sciences Library. Her research interests include electronic health records, user interface design and evaluation, data analytics and visualization, clinical care research, digital health, and research impact metrics. Her current work focuses on health information system evaluation for low- and middle-income countries (LMICs) and validation and reliability testing of digital health devices.

Courses Regularly Taught: 
INLS 523 Database Systems I

NLS 718 User Interface Design

Awards and Recognition:

Margaret Mary Corbett Memorial Award for the best LIS student Dissertation proposal, University of Pittsburgh, 2006

Winner of the Sheila Suen Lai Scholarship of Library and Information Science, Chinese American Librarians Association Scholarship Committee (CALA), 2002

Selected Publications and Presentations: 

Wang, M., Yu, F., Walker, J.B., & Mostafa, J. (2021). A systematic review of automatic text summarization for biomedical literature and EHRs. Manuscript accepted by Journal of American Medical Informatics Association (JAMIA).

McCall, T., Ali, M. O., Yu, F., & Khairat, S. (2021). Development of a mobile app to support self-management of anxiety and depression in African American Women: A usability study.  Journal of Medical Internet Research (JMIR) mHealth and uHealth. doi:10.2196/24393

Johnson, M.E, & Yu, F. (2021). Clinical research coordinators’ perceptions of electronic data capture systems adopted in clinical research. Accepted by American Medical Informatics Association Annual Symposium, Oct. 30- Nov. 3, 2021, San Diego.

Adapa, K., Mosaly, P., Yu, F., Moore, C., Das, S., & Mazue, L. (2021). Exploring Association between perceived usability of dosimetry quality assurance checklist and perceived cognitive workload of dosimetrists in radiation oncology clinical settings. Accepted by Human Factors and Ergonomics Society (HFES) 65th International Annual Conference, October 03-08, 2021, Maryland.

Mani, N., Ottosen, T., Fratta, M., & Yu, F. (2021). An analysis of state health department COVID-19 information for the public. Manuscript accepted by Journal of Medical Library Association (JMLA)

Yu, F., & Mani, N. (2021). Comparison of data analytics software usage in biomedical and health sciences research: A case study. In K. Toeppe, H. Yan, & S. K. W. Chu (eds.), Diversity, Divergence, Dialogue: 16th International Conference, iConference 2021, Beijing, China, March 17–31, 2021, Proceedings, Part I (Vol. 12645, pp. 124–136). Cham: Springer International Publishing. doi:10.1007/978-3-030-71292-1_11

Wu, D., Yu, F. (2020). Guest editorial. Library Hi Tech, 38(4), 701-703. doi: 10.1108/LHT-11-2020-280

Yu, F., & Mani, N. (2020). How American academic medical/health sciences libraries  responded  to the COVID-19 health crisis: An observational study. Data and Information Management, 4(3), 200-208https://doi.org/10.2478/dim-2020-0013

Yu, F., Van, A., Patel, T., Mani, N., Carnegie, A., Corbie-Smith, G., Carey, T., Buse, J., & Dave, G. (2020). Bibliometrics approach to evaluating the research impact of CTSAs: A pilot study.  Journal of Clinical and Translational Science, 4(4), 336-344. https://doi.org/ 10.1017/cts.2020.29

Yu, F., Ruel, L., Tyler, R., Xu, Q., Cui, H., Karanasios, S., Nguyen, B., Keilbach, A., & Mostafa, J. (2020). “Innovative UX Methods for Information Access based on Interdisciplinary Approaches: Practical Lessons from Academia and Industry”,  Data and Information Management, 4(1), 74-80. doi:10.2478/dim-2020-0004

Liu, J. Yu, F., & Song L. (2020). A systematic investigation on the research publications that used the Medical Expenditure Panel Survey (MEPS) Data through a bibliometrics approach,” Library Hi Tech, 38(4). doi: 10.1108/LHT-09-2019-0185

Xing, Z., Yu, F., Du, J., Walker, J., Paulson, C., Mani, N., & Song, L. (2019). Conversational interface for health – A bibliometric analysis of grants, publications, and patents. Journal of Medical Internet Research (JMIR), 21(11). doi: 10.2196/14672

Xing Z, Yu F, Qanir YAM, Guan T, Walker J, Song L. (2019). Intelligent Conversational Agents in Patient Self-Management: A Systematic Survey Using Multi Data Sources. Stud Health Technol Inform. 264:1813‐1814. doi:10.3233/SHTI190661

Xing, Z., Yu, F., & Yuan, X. (2019). Research on voice search behavior in the last 10 years. Proceedings of the Association for Information Science and Technology, 56(1), 819–821. doi:10.1002/pra2.190.

Yu, F., Smith, A., & Song, L. (2019 October) Information Seeking for Prostate Cancer Treatment Decision Marking: A Natural Language Processing Approach to Analyzing Medical Communication During Consultation Visits. Paper presentation at the 2019 ICCH: International Conference on Communication in Healthcare. October 27 – 30, 2019, San Diego, California.

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