# University of Utah Biomedical Informatics Training Grant

> **NIH NIH T15** · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · 2020 · $721,123

## Abstract

Project Summary/Abstract
This proposal explains how Utah will continue to enhance the Department of Biomedical
Informatics' exemplary record of graduate informatics training. Our Department celebrated its
50th anniversary in 2015 and is justly proud of its impact on the science of informatics and on
the informatics community. In this fourth renewal application, we present our plans for
rejuvenation and growth carefully tailored to meet the challenges of our rapidly evolving field.
Our long-term charter has unwaveringly sought to create and sustain a state-of-the-art,
adaptive, and rigorous training environment that promotes research excellence and innovation.
The mission of our program builds on four general areas of focus: 1) Clinical Informatics; 2)
Clinical Research Informatics; 3) Population and Public Health Informatics; and 4)
Bioinformatics and Statistical Genetics. Woven through these areas of focus are three strong
methodology lines: 1) sociotechnical design and evaluation, 2) biomedical natural language
processing, and 3) data analytic and decision support. This level of integration greatly enhances
the power and rigor of the curriculum. The result will be trainees fully equipped with the requisite
command of theory, mastery of skills, and deep knowledge base required to impact health
outcomes in major ways throughout their research.
The aims of our training program are:
 1) To provide a rigorous and integrated curriculum giving students the necessary
 foundation for an innovative and effective research career in biomedical informatics.
 2) To continue to recruit the highest quality and most diverse trainees, including under-
 represented minorities and women.
 3) To ensure students have strong foundations in the conduct of ethical, rigorous, and
 responsible research.
 4) To provide a comprehensive research environment with the broadest possible variety of
 resources for faculty and students to encourage creative and innovative research.
Our trainee research environment is unparalleled. We provide access to clinical, public health,
data science, and translational clinical research opportunities. Utah has a superb computational
infrastructure as well as one of the largest network healthcare settings in the nation, including a
major academic medical center; a statewide nonprofit healthcare network; and a regional
Veterans Administration Medical Center. All three are national leaders in informatics.

## Key facts

- **NIH application ID:** 9969457
- **Project number:** 5T15LM007124-24
- **Recipient organization:** UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH
- **Principal Investigator:** Karen Louise Eilbeck
- **Activity code:** T15 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $721,123
- **Award type:** 5
- **Project period:** 1997-07-01 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9969457

## Citation

> US National Institutes of Health, RePORTER application 9969457, University of Utah Biomedical Informatics Training Grant (5T15LM007124-24). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/9969457. Licensed CC0.

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