Eun-Shim Nahm

Eun-Shim Nahm serves as Professor, Associate Dean for the PhD Program, and Co-Director of both the Postdoctoral Program and Real-World Data and Pragmatic Research Certificate at the University of Maryland School of Nursing. Her work bridges nursing informatics, gerontology, and digital health innovation to transform care for aging populations and cancer survivors.

Education:

• PhD in Nursing Informatics, University of Maryland School of Nursing
• MS in Gerontological Nursing, University of Hawaii
• BSN, EWHA Woman’s University

Research Focus: Dr. Nahm pioneers Geroinformatics through development of patient-centered digital interventions including cancer survivorship toolkits and e-learning programs for older adults. Her NIH/AHRQ-funded work leverages real-world data to optimize clinical workflows, enhance telehealth delivery, and address health disparities in chronic disease management for adults 50+.

Publication Trends: Recent publications (2019-2025) reveal accelerating integration of AI/ML in nursing informatics alongside persistent focus on geriatric eHealth applications. Key themes include pragmatic implementation of digital tools in cancer care, patient portal usability for seniors, and real-world data analytics for population health improvement.

Scientific Recognition:

• 2022 Southern Nursing Research Society D. Jean Wood Award (2023)
• UMMC School of Nursing Colleague (2021)
• American Academy of Nursing Fellow (2009)
• Gerontological Society of America Fellowship (2016)

Leadership & Grants: As Principal Investigator on $10M+ in NIH/AHRQ/FDA grants, she directs initiatives scaling care coordination models and developing health data science competencies. Her academic leadership includes chairing the UMB Nursing Informatics Advisory Board and directing the PhD program while mentoring doctoral candidates in digital health research.

Research Ecosystem: Dr. Nahm co-leads the UM Greenebaum Cancer Center Population Health Program and directs the Real-World Data Certificate program, fostering collaborations between nursing informatics, oncology, and data science teams across UMB and UMMC clinical systems.