All courses will be offered on October 9, 2024.
Questions? Please contact CE Subcommittee Chair, Hayley Severson, Children's Wisconsin, Medical College of Wisconsin Libraries, hseverson@mcw.edu.
10/09/2024
8:00-9:30 AM CDT/9:00-10:30 AM EDT
1.5 CE
Cost: FREE for Conference Attendees
Becoming a successful health information professional is all about how you present yourself in the workplace, especially in your interactions with supervisors, coworkers, colleagues, and patrons. Your self-presentation is your brand. You build your brand by treating everyone with whom you meet and work with respect, delivering expert, non-biased service, responding to inquiries in a timely manner and, yes, dressing professionally.
After the end of this session, you will be able to:
Presenter
Shannon D. Jones’, EdD, M.Ed, MLS, AHIP, FMLA career in libraries spans 20 years. She is currently the Director of Libraries for the Medical University of South Carolina in Charleston. In this role, Shannon assumes leadership for all aspects of the library, including strategic planning, budgeting, technology integration, facility management, and personnel administration. Shannon received her MLS from North Carolina Central University (NCCU) and also holds a BA in English from North Carolina State University, an MIS from NCCU, and an M.Ed. in Adult Learning from VCU. Shannon is an active member of the American Library Association and the Medical Library Association, where she is currently serving on the Board of Directors.
10/09/2024
10:00-11:30 AM CDT/11:00-12:30 AM EDT
1.5 CE
Cost: $30 members/$50 non-members
Data analysis and manipulation usually begins with a spreadsheet. If you work with your own data or advise researchers on theirs, you’ll want to get started right. In this session, you’ll learn how to prepare your spreadsheet and format your data to serve later analyses. You’ll learn best practices for curating data, identifying and addressing common data problems, and preparing data for analysis and use. And you’ll learn when spreadsheets may not be the best place to start. Presenters will demonstrate best practices using medical data from a hypothetical pharmacokinetics study.
At the end of the session, participants will be able to:
Presenters
Anne M. Brown, Ph.D. is an Associate Professor in Data Services, University Libraries at Virginia Tech and affiliate faculty member in the Department of Biochemistry and Academy of Integrated Science. She is the author or co-author of a number of publications and presentations on data-related and data literacy topics.
Jonathan S. Briganti is a Lecturer and Manager within Data Services, University Libraries at Virginia Tech. He regularly teaches and oversees applied data science utilizing real-world data in a consulting environment. Jonathan has presented and published on applied data science and scaling undergraduate research in hybrid environments.
10/09/2024
1:00-2:30 PM CDT/2:00-3:30 PM EDT
1.5 CE
Cost: $30 members/$50 non-members
Are your online sessions mostly you talking to black squares on Zoom? Have you moved a face-to-face course online and it’s just not resonating with learners like it used to? Are you new to online instruction and want to start off right? Whether you are creating online tutorials, leading a webinar, or teaching an entire class online, this course will improve your online pedagogy.
This course will discuss research-based and strategies based on current, powerful models of teaching and learning, such as the Community of Inquiry model, Mayer’s Multimedia Principles, and Universal Design for Learning. You’ll acquire skills in leading live webinars, virtual workshops, and real-time discussions, designing self-paced modules and discussion boards, and curating multimedia course components.
By the end of this course, you will be able to:
Presenter
Marcia Rapchak, MSLS, EdD has created and delivered online courses since 2012. She teaches at the University of Pittsburgh in their MLIS program, both face-to-face and online, and has developed and taught an asynchronous course entitled simply Instructional Design. She is the subject matter expert for the MLA self-paced course, Active Learning Strategies for Effective and Engaging Instruction, and has numerous publications on instructional design, online instruction, and other areas of teaching and learning.
10/09/2024
3:00-4:30 PM CDT/4:00-5:30 PM EDT
1.5 CE
Cost: $30 members/$50 non-members
It seems that everyone is talking about AI and what it can do, can’t do, and seems to do but doesn’t really. If you work on systematic reviews, you may be especially interested in the answers to these questions that go to the heart of how librarians collaborate with researchers on reviews:
- Can AI tools automate and expedite systematic reviews and other types of evidence synthesis without compromising the rigor and reproducibility that are the hallmark of systematic reviews?
- How do you critically appraise a study that uses AI?
- How do you have informed conversations with and advise researchers on the use of AI in reviews in this time of uncertainty and rapid change?
In this course, you’ll learn the questions to ask researchers who are interested in using AI for evidence synthesis, how to report the use of AI in an evidence synthesis project, and what tools are available for critically appraising studies conducted with AI methods.
By the end of the session, you will be able to:
- Identify types of AI that can support the systematic review process.
- Address concerns about how AI may compromise the validity and reproducibility of reviews.
- Identify and employ tools for critically appraising studies conducted with AI methods.
- Have informed conversations about AI with systematic review research teams when planning systematic review projects.
Presenter
Gregory Laynor, MLS, PhD is Assistant Curator and Systematic Review Librarian in the NYU Health Sciences Library at NYU Grossman School of Medicine. He teaches a course on systematic review methods in the Department of Population Health at NYU and is also on the faculty of the Population Health doctoral program in the College of Population Health at Thomas Jefferson University. He writes a column on emerging technologies and their impact on healthcare, research, and education for the Journal of Electronic Resources in Medical Libraries and has published on the impact of AI on systematic reviews and evidence-based medicine.