OHSU's Biomedical Informatics Graduate Program offers degrees at the graduate certificate, master's and PhD level. Two tracks are offered to allow students to specialize in their area of interest: clinical (health) informatics and bioinformatics and computational biology.
There is growing overlap among the two tracks, and they have several courses and electives in common; however, students are expected to select one of the tracks as their primary focus.
The following matrix lists the degree offerings for each track, and whether they are available on-campus and/or online. Click the links for more information on a specific degree.
Distance education/on-line courses:
Participation in SARA (State Authorization Reciprocity Agreement) allows
accepted out-of-state students to take on-line courses from other SARA
states. Students from states that are not SARA members are not able to
take on-line courses unless OHSU is granted approval or determined to be
exempt from the student's home state. For more information about OHSU's participation in SARA, refund schedule, and complaint process, please visit: OHSU Out-of-State Authorization: https://www.ohsu.edu/xd/education/student-services/academic-programs-and-assessment/accreditation/Out-of-State-Accreditation.cfm
Clinical informatics focuses on the use of information to improve personal health, healthcare delivery, and population health. Applications focus on electronic health records, telemedicine, information retrieval (search) systems, and mobile technologies. Methods applied include standards and interoperability, data and text mining, qualitative research, human-computer interaction, and data analytics.
The curriculum focuses on both their operational as well as research aspects. Courses are delivered both on-campus and via distance learning.
Bioinformatics and computational biology
Translational bioinformatics is defined as the development of analytic, storage, and interpretive methods to optimize the transformation of the increasingly voluminous genetic, genomic, and biological data into diagnostics and therapeutics for medicine. With recognition that a key component of this translation is computational biology, the underlying algorithmic and quantitative framework, we have created the Bioinformatics and Computational Biology track.
Active areas of study include clinical and functional genomics, text mining and information retrieval, imaging, systems biology and computational neuroscience. Courses are delivered on-campus
For important dates regarding registration and academic terms, please see the OHSU academic calendar.