The Big Data in Healthcare: Exploring Emerging Roles course will help health sciences librarians better understand the issues of big data in clinical outcomes and what roles health sciences librarians can take on in this service area.
This is a Medical Library Association approved course that will earn students 9 contact hours. This is a semi-self-paced course (“semi" meaning there will be completion deadlines). Coursing offings are run in seasonal cohorts: Summer, Fall, Winter, Spring.
Course content comes from information shared by the presenters at the March 7, 2016 "Using Data to Improve Clinical Patient Outcomes Forum", top reading picks from the NN/LM MCR Data Curation/Management Journal Club and NN/LM PSR Data Curation/Management Journal Club’s articles, recommended reading from Club members, and taking the course Big Data Fundamentals from the Big Data University.
Students will articulate their views on why health sciences sector librarians should or should not become involved in supporting big data initiatives by sharing a 500-800 word essay to wrap the course up. Students are encouraged to be brave and bold in their views so as to elicit discussions about the roles librarians should play in this emerging field.
Students who successfully complete the course will:
- Have a better understanding of the role that big data plays in clinical patient outcomes.
- Have a better understanding of the fundamentals of big data from a systems perspective.
- Articulate their views/options on the role health sciences sector librarians is in supporting big data initiatives (student will be encouraged to allow their views to be published on one of the NN/LM MCR and PNR's publications as part of a dialog with the wider health sciences librarian community engaging in this topic).
On top of information gained, being apart of the big data in clinical care dialog, and earning 6 continuing education credits from the Medical Library Association, students will earn 1.5 contact hours from the IBM Open Badge program from the Big Data University.
Students who sign up for this course agree to:
- Commit to spend the full 9 contact hours learning about and articulating their views on the course topic (this includes the 1.5 contact hours from the Big Data University’s course). Students will be docked for missing or low quality work.
- Complete the course requirements by the deadline establish in each course offering. Arrangements can be made to move into a future cohort if conflicts arise.
- Provide course feedback (strengths/weaknesses) on the MLA Online Course Evaluation form.
For comments or questions, contact course instructors
Research Enterprise / Utah Outreach
National Network of Libraries of Medicine, MidContinental Region
Spencer S. Eccles Health Sciences Library
University of Utah
Salt Lake City, Utah 84112
801 585 5743