Methods Track: Sociotechnical Design & Evaluation

Sociotechnical Design & Evaluation integrates a set of core methods with psychological content and theory. Students are expected to demonstrate basic knowledge of general cognitive processes, including perception, decision-making, judgment analysis, motivation and overall information processing. In addition, they are expected to be familiar with general and applied theories in psychology, such as dual process theories, motivation, as well as applied theories, such as Situation Awareness, Contextual Control Modeling, and Information Foraging theory. In terms of methods, students will effectively utilize common techniques, such as ethnographic observation, cognitive task analysis, decision analysis, usability analysis. In addition, they will gain skills in using the tools available in the DBMI usability lab, such as eye trackers, software prototyping tools, Morae, and ATLAS.

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

Bryan Gibson; Jennifer Garvin, VA; Jonathan Nebeker, VA; Charlene Weir, VA; and Guilherme Del Fiol.

Non-DBMI:

Trafton Drew, Psychology; Frank Drews, Psychology; Alexander Lex, School of Computing.

Ph. D. Application Deadlines

Fall 2018 Semester

Domestic: December 31st, 2017

International: December 1st, 2017

Online Application

Biomedical Informatics at the University of Utah