Big Data in Healthcare: Exploring Emerging Roles
Feb 5, 2018 to Mar 30, 2018
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. Course content comes from information shared by the presenters at the March 7, 2016 NNLM Using Data to Improve Clinical Patient Outcomes Forum, top selections from the NNLM MCR Data Curation/Management Journal Club and NNLM PSR Data Curation/Management Journal Club’s articles, NINR's Nursing Research Boot Camp, recommended readings from previous cohorts, and Cognitive Class' Big Data Fundamentals online course.
Participants will have the opportunity to share what they learned with the instructor from each section of the course content either through WebEx discussions or Moodle Discussions within each Module. These submissions can be used to help support the student's views expressed in the final essay assignment.
Objectives: 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
NOTE: Participants will articulate their views on why health sciences librarians should or should not become involved in supporting big data initiatives by sharing a 500-800 word essay. 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. Participants are encouraged to allow their views to be published on a NNLM online blog/newsletter as part of a dialog with the wider health sciences librarian community engaging in this topic. Your course instructors will reach out to you following the completion of the course.
On top of information gained, being a part of the big data in clinical care dialog, and earning 9 continuing education credits from the Medical Library Association, students may earn an IBM Open Badge program from Cognitive Class.
This is a semi-self-paced course (“semi" meaning there are completion deadlines).
Course Expectations: To complete this course for nine hours of MLA contact hours, participants are expected to:
- Spend 1-2 hours completed 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.
- Coordinate with a course instructor to publish your observations/final assignments on a NNLM blog/newsletter
- Provide course feedback on the Online Course Evaluation Form
Grades for this course is simply a pass/fail grading system. When your submission meets the assignment's expectations, you will receive full credit for the contact hours for that Module. For submissions that are unclear or incomplete, you may be requested for more information until your instructor approves.
- For discussion posts, your activity will be marked as complete after you've submitted a discussion AND your instructor assigns a point to mark as complete
- If you participate in WebEx Journal Club Discussions (when available), your instructor will assign points in the Discussions for that module.
- Students have the option to accept fewer contact hours. However, you will need to inform your course instructors ahead of time.
This is a Medical Library Association approved course that will earn students 9 contact hours.