Advances in Nursing Research and Practice: Harnessing the Power of Technology and Innovation

Dr. Alvin Jeffery is an Assistant Professor of Nursing and Biomedical Informatics at Vanderbilt University. He completed his PhD (Nursing Science & Health Services Research) at Vanderbilt University’s School of Nursing in 2017 and a Medical Informatics Post-Doctoral Fellowship with the U.S. Department of Veterans Affairs and Vanderbilt University’s Department of Biomedical Informatics in 2019. Dr. Jeffery previously held an AHRQ/PCORI K12 focused on Learning Healthcare Systems and implementation science. He is currently funded by an NIH/NIDA Avenir DP1 to develop precision phenotypes for substance use disorders with the aim of accelerating genetics studies as well as the Betty Irene Moore Fellowship for Nurse Leaders and Innovators focused on customizing electronic health record systems for diverse users and settings. He has a background in pediatric critical care nursing and as a staff educator at Cincinnati Children’s Hospital Medical Center. He holds board certifications in pediatric critical care nursing and as a Family Nurse Practitioner. He is a former Emerging Leader with the Alliance of Nursing Informatics.

Expertise: 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 with an emphasis on predicting outcomes that are incompletely ascertainable. He also incorporates qualitative methods for exploring how to implement CDS tools within clinicians’ cognitive and physical workflows. In addition to his scientific talks, he has delivered numerous presentations on pediatric critical care topics as well as leadership and professional development skills. He has written 4 books and more than 35 journal publications. For examples of Dr. Jeffery’s research products or to hear him talk about some of his work, you can explore his personal website. To discover resources for learning more about data science, you can explore his nursing data science website.