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Visualizing Information and Data in 20/20 - Demonstrations: Home

Demonstrations

All demos are free and you can register for one or more, though registration is required (register here).

Time/Location Title/Description Speaker
11:00 am - 11:30 am
Tolleson Classroom
Health Sciences Library

Creating a Custom Business Intelligence Solution

Business intelligence (BI) applications are used to create dashboards, scorecards, and other visualizations to help inform decisions. The top BI tools such as Tableau, Power BI and Qlik are associated with high costs and also require organization-wide training which are prohibitive for initial BI efforts. We found we could use a simple, custom solution to create similar functionality using free tools. We will discuss the various components and share the insights that were gleaned from building a successful custom BI solution using Python, Flask, Plotly, Tabulator.js and Visual Studio Code (all free).

Dave Lewis, M.Ed.
Business Intelligence Lead
School of Medicine
11:30 am - 12:00 pm
Carter Classroom
Health Sciences Library

What’s So Great About Data Visualization Using Tableau?

Tableau is powerful, easy to learn, and allows you to create incredible visualizations in minutes! This session is for those who are new to Tableau and want to see what it can do. We’ll use Tableau Public to review examples of how Tableau is being used to gain insight into health and medical data. We will also demonstrate how easy it is to create your own vizzes.

Nancy Kechner, Ph.D.

Research Computing Specialist, Biology Liaison
Research Data Services + Sciences, University Library

11:30 am - 12:00 pm
The MILL
​Health Sciences Library

Expanded topic! New title: Turning Video into Objective Data for Medical Education Research (was 360° Video in Medical Education)

The use of video for the purpose of training and medical education is evolving.  360 video is a modality that can increase engagement over 2D standard videos.  The use of eye tracking technology in live real-time video or previously recorded education modules can provide valuable information into the subconscious patterns of learners.  Using novel eye tracking technology we will show the ways to transform patterns of eye tracking into quantifiable objective data that can analyzed to provide information on human behavior. 

 *this session repeated at 1:30 pm

Neeral Shah, M.D.
Division of Gastroenterology 
& Hepatology, Department of Medicine
12:00 pm - 12:30 pm
Tolleson Classroom
​Health Sciences Library

Patient Cohort Exploration: TriNetX

TriNetX Live is a cloud-based platform that allows researchers to explore de-identified patient cohort data. We will demonstrate how to view aggregate data related to comorbidities and patient events, graph the cohort rate of arrival, and visualize how each query term impacts the size of your cohort. Other features include quickly testing the potential viability of a hypothesis and using your graphics for grant applications or reference during research team protocol feasibility discussions. 

Johanna Loomba, B.S., C.C.R.C.
Research Concierge and Informatics Core Manager
iTHRIV
12:30 pm - 1:15 pm
Carter Classroom
Health Sciences  Library

How Humans See Data: Best Practices for Data Viz

We will discuss research findings about how the human visual system functions and we will learn how humans decode graphical information. Examples of graphical displays that either follow or break these principles will be examined. Applying these best practices to design your next data viz will ensure that your next plot is the best it can be.

Marieke Jones, Ph.D.
Research Data Specialist
Health Sciences Library
1:00 pm - 1:30 pm
Tolleson Classroom
Health Sciences Library

Creating Interactive Visualizations in R with Shiny

The Shiny package in R provides users a framework for developing interactive, web-based tools with R. Shiny offers you the ability to explore your data, create interactive plots and tables, and build extensive, flexible user interfaces. Shiny combines the utility of R with the flexibility and customizability of web-based markup languages. I will demonstrate several Shiny web applications that can aid you during the research lifecycle, from data collection all the way to publication and reproducibility. I will provide useful tips on how you can adapt pre-built Shiny applications to fit your specific needs.

David Martin, M.S.
Clinical Data Research Specialist
Health Sciences Library
1:30 pm - 2:00 pm
The MILL
​Health Sciences Library

Expanded topic! New title: Turning Video into Objective Data for Medical Education Research (was 360° Video in Medical Education)

The use of video for the purpose of training and medical education is evolving.  360 video is a modality that can increase engagement over 2D standard videos.  The use of eye tracking technology in live real-time video or previously recorded education modules can provide valuable information into the subconscious patterns of learners.  Using novel eye tracking technology we will show the ways to transform patterns of eye tracking into quantifiable objective data that can analyzed to provide information on human behavior. 

*this is a repeat of the 11:30 am session

Neeral Shah, M.D.
Division of Gastroenterology 
& Hepatology, Department of Medicine
2:00 pm - 2:30 pm
Carter Classroom
​Health Sciences Library

Pitfalls and Errors in Data Visualization and the Importance of Data Integrity

Dashboards and visualizations are often used to interpret quality data, but can be prone to misinterpretation and overgeneralization. The Vizient dashboard used for 30 day readmissions to the hospital will be compared to a new(ish) model of data collection we have been building over the last year. We will discuss how visualization often distracts from the underlying data source, which is key to interpretation, and how this new model has helped expand our quality improvement endeavors in a specific patient population.

Zachary Henry, M.D., M.S.
Division of Gastroenterology & Hepatology, Department of Medicine
3:00 pm - 3:30 pm
Tolleson Classroom
Health Sciences Library

Access and Visualize Publication Impact through the Web of Science

Research impact can be analyzed through scientific publication data, and visualizations are especially useful in assessing these data. The Web of Science database has built-in features to make the generation of graphs and charts from citation data. Join this session to learn how to access and visualize publication data from Web of Science.

Arian Abdulla, Ph.D.
Biomedical Information Specialist
Health Sciences Library
3:30 pm - 4:00 pm
Carter Classroom
​Health Sciences Library

Infographics: A Novel Tool in Medical Education for Gastroenterology

Infographics are utilized frequently in patient education materials, but have not been used for medical education. We created infographics for the most common diagnoses for UVA in-patient GI and Hepatology services and assessed their usefulness for learning in clinical medicine. We will discuss our methodology for infographic design, the assessment of their usefulness in training, and future directions of this work.

Joseph Mort
Joanna Odenthal
M.D. Candidates, School of Medicine, Class of 2020

Sponsors

Many thanks to our partners:

  • Claude Moore Health Sciences Library, UVA Health
  • Integrated Translational Health Research Institute of Virginia (iTHRIV)

And our sponsor:

  • Research Computing, Office of the Vice President for Information Technology

Directions

All Viz Day events will be held in the Claude Moore Health Sciences Library, next to Pinn Hall in the UVA Health System.

Consult this map for directions and building access information.

Medical Education Week

Viz Day is during the UVA School of Medicine's Medical Education Week: see posters, presentations, and more at:

Medical Education Week 2020
March 2 - March 6

Contact Us

Questions about Viz Day? Contact the Health Sciences Library Viz Day Coordinators.

Claude Moore Health Sciences Library
1350 Jefferson Park Avenue P.O. Box 800722
Charlottesville, VA 22908 (Directions)

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