Application Track: Clinical Informatics

Clinical Informatics applies biomedical informatics principles and methods to inform and direct health care delivery, and to address consumers’ information needs, help consumers engage in their own health, and promote shared-decision making; the goal of clinical informatics is to measurably improve the safety and value of care delivery and to support the effective implementation of evidence-based practices. Students must demonstrate competency in (a) the foundational technologies and the architectures of electronic health records and related systems, (b) the design, development, and evaluation of innovative technologies that can influence patient care delivery, (c) the use of technology to provide informational support to both clinicians and health care consumers, and (d) evaluation and enhancement of new and existing systems through instrumentation of the care process so that process and outcome data are effectively collected and analyzed. The Clinical Informatics track dovetails with the Nursing Informatics (NI) program in the College of Nursing.

Recommended Course of Study

This is a recommended schedule for this track (numbers in parentheses indicate credit hours). Courses can be waived or tested out of with permission of the course instructor and the student's advisor. Ultimately, the courses a student takes should be determined and approved by the student and the graduate committee.

Grey = bridge course for those without background in genomics and medicine; light blue = DBMI core course; dark blue = DBMI course for this track; white = electives and research hours.

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Recommended Electives

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Special Interest Groups

PhD students are required to attend at least one SIG (all students are encouraged), which bring people with similar interests together to learn, share, and experiment.

Practicum

Sign up for at least one practicum to gain hands-on experience and work with a team on a project.

SmartEHR, Sociotechnical, or NLP Service Line (opportunity for individual practicum 2017)

Students have the opportunity to apply to work for a semester with the SmartEHR team or the Sociotechnical or NLP service lines on an existing project. Must be coordinated with the team/service line director before registering:

Journal Clubs

Review and discuss literature in this area.

If there is not a current journal club, encourage your SIG to host one.

Affiliated Faculty

Feel free to meet individually with faculty and/or to attend their weekly lab meetings.

DBMI

Bruce Bray; Cardiology; Mollie Cummins, NI; Mike Dean, Pediatrics; Scott Evans, Intermountain; Guilherme Del Fiol; Jennifer Garvin; Per Gesteland, Pediatrics; Adi Gundlapalli, Internal Medicine, VA; Marta Heilbrun, Radiology; James Hellewell, Geriatrics; Ken Kawamoto; Scott Narus, Intermountain; Flory Nkoy, Pediatrics; Chuck Norlin, Pediatrics; Brent James, Intermountain; Chris Maloney, Pediatrics; Stephane Meystre; Alan Morris, Intermountain; Matt Samore, Epidemiology; Kathy Sward, NI; Sid Thornton, Intermountain; Charlene Weir, VA.

Non-DBMI:

Brian Chapman, Radiology; Laura Heermann-Langford, Intermountain, NI; Rachel Hess, Population Health Sciences; Rashmee Shah, Cardiology.

Ph. D. Application Deadlines

Fall Semester

Domestic: December 31st

International: December 1st

Online Application

Biomedical Informatics at the University of Utah