Vanderbilt creates AI and natural language processing voice assistant for its Epic EHR

(From HealthIT News, April 5, 2018)   Vanderbilt creates AI and natural language processing voice assistant for its Epic EHR Caregivers can interact with the EHR using natural language queries and more quickly get the answers they need in an unobtrusive manner.   Vanderbilt University Medical Center has developed a voice assistant for caregivers to use navigating the hospital's Epic electronic health record.

Jacob Eichenberger

Jacob
Eichenberger
Postdoctoral Trainee
Biomedical Informatics
2525 West End Avenue
jacob.a.eichenberger@vanderbilt.edu

Patrick Wu

Patrick
Wu
PhD Student
Department of Biomedical Informatics
2525 West End Avenue
patrick.wu@vanderbilt.edu

Patrick Wu – received his BS from Cornell University (May 2011). Patrick is a MSTP, Medical Scientist Training Program, student. Patrick is a PhD student funded from the NLM training grant.

Grayson Ruhl

Grayson
Ruhl
PhD Student
Department of Biomedical Informatics
2525 West End Avenue
grayson.l.ruhl@vanderbilt.edu

Grayson Ruhl – received his BA in Computer Science from The University of the South (May 2017). Grayson was a summer intern here Summer 2015 and mentored by Brad Malin. Grayson is a PhD student funded from the BIDS training grant.

Kimberley Cox

Kimberley
Cox
PhD Student
Department of Biomedical Informatics
2525 West End Avenue
Room / Suite
1400
kimberley.e.kondratieff@vanderbilt.edu

 

Kimberley (Kim) Kondratieff – received MS in Statistics from San Jose State University (May 2016). Kim was a summer intern here Summer 2015 and mentored by Tom Lasko. Kim is a PhD student funded from the BIDS training grant.

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

Alvin
Jeffery
Assistant Professor
Department of Biomedical Informatics
2525 West End Avenue
Room / Suite
1400
Nashville
Tennessee
37203
a.jeffery@vumc.org

Dr. Alvin Jeffery is an Assistant Professor of Biomedical Informatics and Nursing 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: (1) an NIH/NIDA Avenir DP1 to develop precision phenotypes for substance use disorders with the aim of accelerating genetics studies and (2) the Betty Irene Moore Fellowship for Nurse Leaders and Innovators focused on customizing electronic health record systems for a wide range of 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.

Other Links:
Bluesky: https://bsky.app/profile/nursealvin.bsky.social 
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Brian Rothman, MD

Brian
Rothman
M.D.
Professor
Department of Anesthesiology
Associate Professor
Department of Biomedical Informatics
615-343-9419
brian.rothman@vumc.org

Robert Freundlich, MD, MS, MSCI, FASA, FCCM

Robert
Freundlich
M.D.
Associate Professor
Department of Anesthesiology
Associate Professor
Department of Biomedical Informatics
Chief
Anesthesiology Informatics Research Division
Director
Vanderbilt Anesthesiology and Perioperative informatics Research
robert.e.freundlich@vumc.org

Education & Training
MSCI, Vanderbilt University, Nashville, TN (2020)
Fellowship, University of Michigan, Ann Arbor, MI (2016)
Research Fellowship, University of Michigan, Ann Arbor, MI (2012)
Residency, University of Michigan, Ann Arbor, MI (2015)
MD, Baylor College of Medicine, Houston, TX (2010)
MS in Biotechnology, Johns Hopkins University, Baltimore, MD (2007)
BA in German Literature, Johns Hopkins University, Baltimore, MD (2005)

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