Technology Accelerating Knowledge to Improve Human Health
A department within the College of Medicine at the University of Arkansas for Medical Sciences, Biomedical Informatics is led by Dr. Fred Prior, Professor and Chair. We develop computational tools to assess and manage medical and public health information. We serve as the campus leader for such projects. Located on the fourth floor of the Jack T. Stephens Spine Institute, our staff is available for consultation. Call 501-603-1766 to schedule an appointment.
News & Announcements
UAMS Recognized for Diversity, Inclusion, Excellence
The University of Arkansas for Medical Sciences has yet again been recognized for its diversity and inclusion efforts. In October, UAMS received the 2021 Health Professions Higher Education Excellence in Diversity (HEED) Award from INSIGHT Into Diversity magazine, the oldest and largest diversity-focused publication in higher education. As a recipient of the annual award, UAMS will be […]
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Dr. Yu Receives HL7 Volunteer of the Year Award
Pele Yu, M.D, program director for the UAMS Clinical Informatics Fellowship Program, received the 2021 W. Edward Hammond, Ph.D., Volunteer of the Year Award. The award was announced during the Sept. 22 HL7 Working Group Annual Business Meeting, held online because of the COVID-19 pandemic. Two others were also honored: John D’Amore, president of More […]
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Dr. Donald Johann coauthors important paper in Genome Biology journal
Dr. Donald Johann, Associate Professor of Biomedical Informatics and Internal Medicine, is among the national leaders to coauthor a second important paper published recently in the high-impact journal Genome Biology. The paper concerns the establishment of new actionable guidelines for cancer gene panel-based Next Generation Sequencing (NGS) and will help to better facilitate the rapid implementation, […]
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Hari Eswaran Recognized for Research on Strengthening Pregnant Women’s Pelvic Floor Muscles
DBMI Secondary Faculty member Hari Eswaran was recognized for his work toward developing a non-invasive procedure to detect weakened pelvic floor muscles in pregnant women. They plan to use the data to compare the functionality of women’s muscles after childbirth to assess the effects of pregnancy and delivery on the pelvic floor. NIH Awards $1.36 million Grant […]
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Contact Us
Department of Biomedical Informatics
501-603-1766
DBMI@uams.edu