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Archive for the ‘Training & Education’ Category

Getting Back to Normal: A Virtual Tabletop Exercise in Disaster Preparation (March 17)

Thursday, March 3rd, 2016

On March 17 at 10:00am -11:30am PST, the NN/LM PNR will host a virtual tabletop exercise that will feature a scenario based on a major disaster. The disaster will impact the entire Northwest, disrupting the normal state of being in your community. Which disaster will strike? Attend the virtual tabletop exercise to find out! (more…)

Data, Clinical Outcomes, and Librarians – What’s the Connection?

Monday, February 29th, 2016

binaryheadtrimmed2What is the connection between data, clinical outcomes and the librarian?  Come and explore this connection with three of the nation’s leaders on big data and patient outcomes at the Using Data to Improve Clinical Patient Outcomes Forum on March 7, 2016.  Librarian participants will have the opportunity to explore how they can contribute to the use of clinical data mined from the electronic health record as evidence for patient care and to consider what skills they can develop to support health care organizations in the use of data. The Forum will be held in person in Seattle or Salt Lake City as well as in a live broadcast.  Registration is required.  

For more information see the website.  Professional development funding is available for PNR members.* https://nnlm.gov/data-forum
*Please register by Feb. 29th is you are seeking Professional Development funds.
Join us on Twitter at #NNLMdataforum

Join National Leaders in Clinical Data Forum

Monday, February 22nd, 2016

binaryheadtrimmed2If you would like to learn from three of the nation’s leaders about the use of EHR-based data  to improve patient safety, quality of care, and evidence-based practice, plan to attend the in-person or live broadcast of the Using Data to Improve Clinical Patient Outcomes Forum on March 7, 2016, from 8:30-2:30 (PST).

Join us on Twitter at #NNLMdataforum. Registration is required. More information at the website https://nnlm.gov/data-forum

Data Sciences Learning: Online and In-Person Opportunities

Wednesday, February 17th, 2016

Several online and in-person training opportunities can help jump-start your learning of data science topics. Some of the short courses and intensive training programs  listed below are offered in conjunction with NIH Big Data To Knowledge (BD2K) initiative programs. BD2K is a trans-NIH initiative established to enable biomedical research as a digital research enterprise, to facilitate discovery and support new knowledge, and to maximize community engagement. (more…)

Join us in Seattle or Online!

Tuesday, February 16th, 2016

binaryheadtrimmed2Using Data to Improve Clinical Patient Outcomes forum.

Join us on Monday, March 7th from 8:30 – 2:30 at the University of Washington or online as we explore this fascinating and timely topic with leaders in the field. More information is available on the website, and registration is open. Professional Development funds are available for PNR members.* https://nnlm.gov/data-forum
*Please register by Feb. 29th is you are seeking Professional Development funds.

Cool Creative Communications: Dazzling Data Visualization, March 14 – April 8

Monday, February 15th, 2016

Dazzle your clients, colleagues, classmates (and yourself!)! This class covers concepts of visually representing data and proven tools that are effective in making data understood at a glance. Students will increase their knowledge on data visualization concepts and a variety of data visualization applications. Students will complete assigned exercises that they will share with their class peers. Class participants are expected to spend 1.5 hours on content learning, 3 hours of in-depth learning on student selected tool/application and preparing their class assignment, and .5 hours on peer critique.

Participants will be able to:

  • Increase their knowledge of using visual representations of data and various data visualization tools.
  • Design a data visualization with a data set on a selected tool.
  • Discuss peer submitted data visualizations to enhance understanding of the data presented.

March 14 – April 8, 2016 (4 weeks), online/asynchronous via Moodle

5 MLA CE credits

More information and registration