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Louisiana State University Health Sciences Center Visualizes Cancer Research
Technology Category
- Application Infrastructure & Middleware - Data Visualization
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Product Research & Development
Use Cases
- Predictive Quality Analytics
Services
- Data Science Services
The Challenge
The Epidemiology Department at the Louisiana State University Health Sciences Center- School of Public Health collaborates with hospitals and other providers around the state to meet the requirements of a grant from the Centers for Disease Control and Prevention. The grant funds the school’s Louisiana Breast and Cervical Health Program (LBCHP) to fulfill its mission to ensure that uninsured and underinsured Louisiana women have access to and receive high-quality screening and diagnostic services for the early detection of cancer. The challenge was to identify outliers for quality control and to improve program performance.
About The Customer
The customer in this case study is the Epidemiology Department at the Louisiana State University Health Sciences Center- School of Public Health. They collaborate with hospitals and other providers around the state to meet the requirements of a grant from the Centers for Disease Control and Prevention. The grant funds the school’s Louisiana Breast and Cervical Health Program (LBCHP) to fulfill its mission to ensure that uninsured and underinsured Louisiana women have access to and receive high-quality screening and diagnostic services for the early detection of cancer.
The Solution
The solution was to use Tableau for data visualization. This allowed the LBCHP to improve program performance and apply for funding for other programs. The organization is applying for another grant to screen for colorectal cancer. In a pilot study, they found patients with precancerous indications--Tableau helped them visualize the data. LBCHP also uses the software to allow people throughout their organization find answers. For people who don’t have the SQL skills and for groups that don’t have huge resources to spend on a large, specialized IT staff, it’s been extremely beneficial to be able to explore their data in sophisticated ways without being sophisticated programmers.
Operational Impact
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