faculty profile

Alvin Jeffery   PhD, RN-BC, CCRN-K, FNP-BC

Assistant Professor


Dr. Alvin Jeffery is an Assistant Professor with the School of Nursing and the Department of Biomedical Informatics. He recently completed a Medical Informatics Post-Doctoral Fellowship with the U.S. Department of Veterans Affairs in Nashville, TN. He has a background in pediatric critical care nursing and as a staff educator at Cincinnati Children's Hospital Medical Center. Dr. Jeffery focuses on the design, development, and evaluation of probability-based clinical decision support tools. He leverages machine learning and data science techniques for developing prediction models, and he incorporates qualitative methods for exploring how to implement CDS tools within nurses' cognitive and physical workflows. Dr. Jeffery has been elected to serve a 3-year term (2020-2023) on the Board of Directors for the American Association of Critical-Care Nurses.


  • MS, Biomedical Informatics, Vanderbilt University (in-progress)
  • PhD, Nursing Science & Health Services Research Track, Vanderbilt University
  • MSN, Family Nurse Practitioner, Northern Kentucky University
  • BSN, Union University


  • Nursing Professional Development, American Nurses Credentialing Center, 2012-present
  • Family Nurse Practitioner, American Nurses Credentialing Center, 2011-present
  • CCRN-K (Pediatric), American Association of Critical Care Nurses, 2009-present

Current Research/Scholarly Interests

  • Data Science
  • Machine Learning
  • Predictive Analytics
  • Human-Computer Interaction

Academic Interests

  • Nursing & Biomedical Informatics
  • Data Science & Analytics


2019, Dec - Jeffery, A.D. (PI). Developing probability-based decision support tools for acute clinical deterioration. Nursing Research Initiative (VA). Direct costs $1,086,060. IK3HX002990-01A1. 

2020, Mar - Jeffery, A.D. (PI), Duda, S., & Barroso, J. Identifying communities at high-risk for HIV infection using publicly available data. TN Center for AIDS Research. Direct costs $49,975.


2020, Jan - Jeffery, A.D. (PI). Predicting opioid-induced respiratory depression. Vanderbilt CTSA. Direct costs $5,763.50. UL1TR002243.

2019, Oct - Roumie, C.L. (PI) & Rothman, R.L. (co-PI). Learning health system scholar program at Vanderbilt (AHRQ). Total funding $673,150. 5K12HS026395-02. Role: Trainee/Scholar (80% effort)

2017, Nov - Jeffery, A.D. (co-PI) & Matheny, M.E. (co-PI). Genetic variation in nursing sensitive patient outcomes: An exploratory study. Vanderbilt CTSA. Direct costs $0. UL1TR000445. 

Representative Publications


For full publication list, visit: https://www.ncbi.nlm.nih.gov/myncbi/alvin.jeffery.1/bibliography/public/

Beamer, J., Kromer, R., & Jeffery, A.D. (2020). Imagining an orientation built on trust. Journal for Nurses in Professional Development, 36(1), 2-6.

Boehm, L.M., Stolldorf, D.P., & Jeffery, A.D. (2020). Implementation science training and resources for nurses and nurse scientists. Journal of Nursing Scholarship, 52(1), 47-54.

Jeffery, A.D., Hewner, S., Pruinelli, L., Lekan, D., Lee, M., Gao, G., Holbrook, L., & Sylvia, M. (2019). Risk prediction and segmentation models used in the U.S. for assessing risk in whole populations: A critical literature review with implications for nurses? role in population health management. JAMIA Open, E-pub ahead of print. doi:10.1093/jamiaopen/ooy053

Jeffery, A.D. (2019). Identifying challenges and opportunities in nursing data science. CIN: Computers, Informatics, Nursing, 37(1), 1-3.

Parr, S.K., Shotwell, M.S., Jeffery, A.D., Lasko, T.A., & Matheny, M.E. (2018). Automated mapping of laboratory tests to LOINC codes using noisy labels in a national electronic health record system database. JAMIA, 25(10), 1292-1300.

Jeffery, A.D., Dietrich, M.S., Fabbri, D., Kennedy, B., Novak, L.L., Coco, J., & Mion, L.C. (2018). Advancing in-hospital clinical deterioration prediction models. American Journal of Critical Care, 27(5), 381-391.

Jeffery, A.D., Mosier, S., Baker, A., Korwek, K., Borum, C., & Englebright, J. (2018). Units of distinction: Creating a blueprint for recognition of high-performing medical-surgical nursing units. Journal of Nursing Administration, 48(2), 68-74.

Jeffery, A.D., Dietrich, M.S., & Maxwell, C. (2018). Predicting 1-year disability and mortality of injured older adults. Archives of Gerontology and Geriatrics, 75, 191-196.

Jeffery, A.D., Novak, L.L., Kennedy, B., Dietrich, M.S., & Mion, L. (2017). Participatory design of probability-based decision support tools for in-hospital nurses. JAMIA, 24(6), 1102-1110.

Jeffery, A.D., Kennedy, B., Dietrich, M.S., Mion, L., & Novak, L.L. (2017). A qualitative exploration of nurses? information-gathering behaviors prior to decision support tool design. Applied Clinical Informatics, 8(3), 763-778.

Jeffery, A.D.  (2015). Methodological challenges in examining the impact of healthcare predictive analytics on nursing-sensitive patient outcomes. CIN: Computers, Informatics, Nursing, 33(6), 258-264.  

Myers, L.H., Jeffery, A.D., Nimmagadda, H., Werthman, J., & Jordan, K. (2015). Building a community of scholars: One cohort?s experience in an online/distance education PhD program. Journal of Nursing Education, 54(11), 650-654.  


Jeffery, A.D., Jarvis, R.L., & Word-Allen, A. (2018). Staff Educator's Guide to Clinical Orientation: Onboarding Solutions for Nurses (2nd ed.). Indianapolis, IN: Sigma Theta Tau International.

Jeffery, A.D., Longo, M.A., & Nienaber, A. (2015). Staff Educator's Guide to Professional Development: Assessing and Enhancing Nurse Competency.  Indianapolis, IN: Sigma Theta Tau International.


  • Associate Editor, Journal of Medical Systems, 2017-present
  • Manuscript Reviewer for: Journal of Hospital Medicine, 2018; CIN: Computers, Informatics, Nursing, 2018-Present; Applied Clinical Informatics, 2017-Present; International Journal of Medical Informatics, 2017-Present

Professional Organizations

  • Member, Board of Directors. American Association of Critical Care Nurses, 2020-2023
  • Member, Beacon Program Task Force. American Association of Critical Care Nurses, 2020
  • Member, Steering Committee. Nursing Knowledge: Big Data Science Conference, 2019-2022
  • Member, Program Committee. AMIA 2020 Clinical Informatics Conference, 2019-2020
  • Member, Scientific Planning Committee, MedInfo 2019 (Lyon, France). International Medical Informatics Association, 2018-2019
  • Chair, Next Generation Leaders Task Force. Sigma Theta Tau International, 2018-2019
  • Member, CCRN Practice Analysis Task Force. American Association of Critical Care Nurses, 2018


  • Circle of Excellence Award, American Association of Critical Care Nurses, 2019
  • Emerging Leader, Alliance of Nursing Informatics, 2018
  • AJN Book of the Year Award - 1st Place in Nursing Education/Continuing Education Category, 2014
  • Dean's Writing Award, Vanderbilt University School of Nursing, 2014
  • Burton R. Pease Award for Excellence in Nursing Leadership, Cincinnati Children's Hospital, 2012