The University of Utah has an exemplary record of informatics training dating back to the mid-1960s, when the program was founded by Dr. Homer R. Warner. Having graduated the most PhDs of any informatics program, ours is both the oldest as well as one of the most productive informatics training enterprise in the world. In this, our third renewal application, we detail our highly successful past decade and outline our plans to continue improving and innovating as we help train the next generation of informatics researchers. We chartered our long-term goal five decades ago: to create and sustain a modern, adaptive, and relevant training environment that promotes research excellence. The mission of our program centers on improving health outcomes through the innovative use of information systems, emphasizing clinical informatics;public health informatics;and translational/clinical research informatics. Our specific training objectives are: * To provide a thoroughly integrated curriculum that includes foundational theory as well as exposure to practice, one sensitive to the continual evolution of the field of informatics. * To ensure a solid grounding in the responsible conduct of research for all trainees. * To foster a research environment that provides the broadest possible variety of resources to faculty and trainees, while carefully mentoring and monitoring trainees to ensure timely, high-caliber research. * To recruit trainees nationally/internationally with a special emphasis on attracting women and underrepresented minorities to enrich diversity in the field of biomedical informatics in Utah and beyond. The key elements of our research training plan reflect these training objectives. We continue a major curriculum enhancement program started in 2006. For training in the ethical conduct of research, we exploit the background of the proposed Program Director (Hurdle) who, as former Chair of the University of Utah IRB, organizes training in the responsible conduct of research. Regarding our trainee research environment, we provide unparalleled access to clinical, public health, and translational clinical research opportunities as well as a network and computational infrastructure second to none. Our trainees in clinical informatics have one of the broadest choices of clinical settings in the nation: a major academic medical center;a statewide nonprofit healthcare network;and a regional Veterans Administration Medical Center. Finally, our mentoring and evaluation plan can be summarized as 'continual, systematic, and proactive--a balanced mixture of automated tracking and regular face-to-face meetings.'The overarching rationale behind our program is to ensure that our trainees complete a thoughtful training program that stresses curricular diversity mixed with practical experience and research excellence. Our projected complement of trainees includes the standard nine pre- doctoral and six post-doctoral positions, as well as two annual short-term diversity positions, one pre- and one post-doctoral.

Public Health Relevance

The University of Utah's Department of Biomedical Informatics has been granting research doctorates for nearly half a century, and this third NLM Training Program renewal application is its strongest yet. The current application describes an exceptionally well-balanced faculty, a thoughtful curriculum, a proactive diversity- centric recruitment strategy, and an unparalleled research environment for NLM trainees. Underpinning these resources is a reasoned and rigorous evaluation plan, and that combination provides a superior mentoring and training environment for the next generation of biomedical informatics researchers.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Continuing Education Training Grants (T15)
Project #
2T15LM007124-16
Application #
8261299
Study Section
Special Emphasis Panel (ZLM1-AP-T (01))
Program Officer
Florance, Valerie
Project Start
1997-07-01
Project End
2017-06-30
Budget Start
2012-07-01
Budget End
2013-06-30
Support Year
16
Fiscal Year
2012
Total Cost
$836,843
Indirect Cost
$55,580
Name
University of Utah
Department
Miscellaneous
Type
Schools of Medicine
DUNS #
009095365
City
Salt Lake City
State
UT
Country
United States
Zip Code
84112
Jones, David E; Ghandehari, Hamidreza; Facelli, Julio C (2016) A review of the applications of data mining and machine learning for the prediction of biomedical properties of nanoparticles. Comput Methods Programs Biomed 132:93-103
Roosan, Don; Del Fiol, Guilherme; Butler, Jorie et al. (2016) Feasibility of Population Health Analytics and Data Visualization for Decision Support in the Infectious Diseases Domain: A pilot study. Appl Clin Inform 7:604-23
Islam, R; Weir, C; Del Fiol, G (2016) Clinical Complexity in Medicine: A Measurement Model of Task and Patient Complexity. Methods Inf Med 55:14-22
Roosan, Don; Samore, Matthew; Jones, Makoto et al. (2016) Big-Data Based Decision-Support Systems to Improve Clinicians' Cognition. IEEE Int Conf Healthc Inform 2016:285-288
Cook, David A; Teixeira, Miguel T; Heale, Bret Se et al. (2016) Context-sensitive decision support (infobuttons) in electronic health records: a systematic review. J Am Med Inform Assoc :
Islam, Roosan; Mayer, Jeanmarie; Clutter, Justin (2016) Supporting novice clinicians cognitive strategies: System design perspective. IEEE EMBS Int Conf Biomed Health Inform 2016:509-512
Overby, C L; Heale, B; Aronson, S et al. (2016) Providing Access to Genomic Variant Knowledge in a Healthcare Setting: A Vision for the ClinGen Electronic Health Records Workgroup. Clin Pharmacol Ther 99:157-60
Tran, Le-Thuy T; Divita, Guy; Redd, Andrew et al. (2015) Scaling Out and Evaluation of OBSecAn, an Automated Section Annotator for Semi-Structured Clinical Documents, on a Large VA Clinical Corpus. AMIA Annu Symp Proc 2015:1204-13
Doing-Harris, Kristina M; Weir, Charlene R; Igo, Sean et al. (2015) POETenceph - Automatic identification of clinical notes indicating encephalopathy using a realist ontology. AMIA Annu Symp Proc 2015:512-21
Cunningham, Fiona; Moore, Barry; Ruiz-Schultz, Nicole et al. (2015) Improving the Sequence Ontology terminology for genomic variant annotation. J Biomed Semantics 6:32

Showing the most recent 10 out of 106 publications