Big Data in Healthcare: Exploring Emerging Roles
Join us for a 6-week course that helps health sciences librarians understand the issues of big data in clinical outcomes and what roles health sciences librarians can take on in this service area. We'll start with an overview of data science and then learn about big data from a systems perspective, dig into how big data impacts patients and researchers, think about the role of librarians in supporting big data initiatives, and finish with an opportunity for you to develop an action plan based on course content.
The class will be taught via Moodle and includes short readings, videos, and activities. This class has been approved for 6 hours of continuing education credits by the Medical Library Association.
Registration is limited to 50 participants
Feb 3, 2020 to Mar 17, 2020
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 semi-self-paced course (“semi" meaning there are completion deadlines).
Course Expectations: To complete this course for 6 hours of MLA contact hours, participants are expected to:
- Spend approximately 1 hour completing the work within each module.
- Commit to complete all activities and articulate your views within each module.
- Complete course requirements by the deadline established in each module.
- Provide course feedback on the Online Course Evaluation Form
This is a Medical Library Association approved course that will earn students 6 contact hours.
Students who successfully complete the course will:
- Explain the role big data plays in clinical patient outcomes.
- Explain current/potential roles in which librarians are supporting big data initiatives
- Illustrate 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