Unlock the power of your data
Founded by an award winning professor, brilliant computer scientist, and savvy business leader, Tableau is all about making data analytics fast, easy, beautiful, and most importantly, useful. Helping people gain insight into their data to solve unexpected problems and challenges is what drives us.
Join us for a Tableau Day at UTMB on October 29th to learn how Tableau is helping doctors and faculty gain insight to their data. See the latest version, Tableau 9.1, connect with Tableau users, share best practices, and learn new approaches to working with data.
8:30-9:00 - Room Open: Come for Coffee and to meet your tableau team
9:00-10:00 - How UTMB is using Tableau - see below for abstracts
- Bob Skaggs; Marketing
- Ming Guo; Human Resources
- Tom Horwedel; Clinical Data Management
10:00-10:15 - Break
10:15-11:30 - Demo of Tableau Desktop and Server
11:30-12:30 - Lunch and Q&A
Monthly Victory Lakes Urgent Care Update
UTMB Health opened it’s first after hours urgent care clinic covering adult aged patients in April 2013. Because of ongoing interest in business development for this service, Tableau was employed to provide insights into patient demographics and utilization patterns. Since that time Tableau’s features have allowed the scope of data visualizations in a monthly update report to innovate and evolve. Interest in the report has also evolved. The report is now being reviewed by people spanning clinical leadership, physician faculty leadership, business and finance, and marketing and communications.
Using Tableau as our main data exploration, visualization and data sharing tool, HR Business Intelligence Team is able to engage with executive management on critical dialogue such as implication of legal compliance, position control process and recruitment activity monitoring. This talk will highlight Tableau-enabled data integration, quick intuitive data exploration, and data sharing with online HRBI portal.
Clinical Data Management:
Self Service Analytics in the Health System - Demonstration of how a patient encounter model can be published in Tableau and used by business analysts to answer ad-hoc questions.