faculty profile

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

Assistant Professor

Bio

Dr. Alvin Jeffery is an Assistant Professor with the School of Nursing and the Department of Biomedical Informatics. He 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.


Learn more about Dr. Alvin Jeffery and his research [Video]

View information on Dr. Alvin Jeffery's recent project, Improving electronic health record usability with a novel customization process [Video]


Education

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

Certifications

  • 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

Grants

Funded

2022 - Jeffery, A.D. (PI). Betty Irene Moore Fellowship for Nurse Leaders and Innovators.

2020, Jan - Jeffery, A.D. (PI). Predicting opioid-induced respiratory depression. Vanderbilt CTSA. UL1TR002243.

2019, Oct - Roumie, C.L. (PI) & Rothman, R.L. (co-PI). Learning health system scholar program at Vanderbilt (AHRQ). 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.  UL1TR000445. 

Representative Publications

Journals

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

Bianchi, S.B., Jeffery, A.D., Samuels, D.C., Schirle, L., Palmer, A.A., & Roige-Sanchez, S. (in-press). Accelerating opioid use disorders research by integrating multiple data modalities. Complex Psychiatry.

Jeffery, A.D. (2022). Data science for nurses: Learn how to apply this skill to nursing projects. American Nurse Journal, 17(5), 32-34.

Douthit, B.J., Walden, R.L., Cato, K., Coviak, C.P., Cruz, C., D'Agostino, F., Forbes, T., Gao, G., Kapetanovic, T.A., Lee, M.A., Pruinelli, L., Schultz, M.A., Wieben, A., & Jeffery, A.D. (2022). Data science trends relevant to nursing practice: A rapid review of the 2020 literature. Applied Clinical Informatics, 13(1), 161-179.

Tang, L.A, Jeffery, A.D., Leech, A.A., Osmundson, S.S., Schirle, L., Phillippi, J.C. (2022). A comparison of methods to identify antenatal substance use within electronic health records. American Journal of Obstetrics & Gynecology MFM, 4(2), 100535.

Schirle, L., Jeffery, A.D., Yaqoob, A., Sanchez-Roige, S., & Samuels, D. (2021). Two data-driven approaches to identifying the spectrum of problematic opioid use: A pilot study within a chronic pain cohort. International Journal of Medical Informatics, 156, 104621.

Jeffery, A.D., Werthman, J.A., Danesh, V., Dietrich, M.S., Mion, L.C., & Boehm, L.M. (2021). Assess, prevent, and manage pain; both spontaneous awakening and breathing trials; choice of analgesia/sedation; delirium: assess, prevent, and manage; early mobility; family engagement and empowerment bundle implementation: Quantifying the association of access to bundle-enhancing supplies and equipment. Critical Care Explorations, 3(9), 1-12.

Schultz, M.A., Walden, R.L., Cato, K., Coviak, C.P., Cruz, C., D'Agostino, F., Douthit, B.J., Forbes, T., Gao, G., Lee, M.A., Lekan, D., Wieben, A., & Jeffery, A.D. (2021). Data science methods for nursing relevant patient outcomes and clinical processes: The 2019 literature year in review. CIN: Computers, Informatics, Nursing, 39(11), 654-667.

Jeffery, A.D. (2021). Can artificial intelligence and machine learning help us treat sepsis? Intensive & Critical Care Nursing, 65, 103043. 

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, 2(1), 205-214.

Jeffery, A.D. (2020). ANI emerging leader project: Resources for learning data science. CIN: Computers, Informatics, Nursing, 38(7), 329-330.

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. (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.  

Books

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.

Reviewer

  • Associate Editor, Journal of Medical Systems, 2017-present
  • Manuscript Reviewer for: JAMIA, 2020-present; CIN: Computers, Informatics, Nursing, 2018-Present; Applied Clinical Informatics, 2017-Present; International Journal of Medical Informatics, 2017-Present

Professional Organizations

  • Member, Scientific Program Committee, 2022 AMIA Artificial Intelligence Evaluation Showcase. American Medical Informatics Association, 2022
  • Member, AACN Essentials Faculty Tool Kit Workgroup. American Association of Colleges of Nursing, 2021
  • 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

Honors/Awards

  • Dean's Award for Recognition of Faculty Achievement in Research Endeavors, Vanderbilt University School of Nursing, 2022
  • 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

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