Center of Excellence in Real-World Evidence | Texas Tech University Health Sciences Center

Dallas | Texas Tech University Health Sciences Center

“Understanding what medications do to people, and what people do to medications.”

The Center seeks to improve the understanding of how medications work in real-world settings so that clinicians, patients, policy makers and health systems can make better decisions about healthcare.

Real-world evidence (RWE) is data collected from patients in their everyday lives, outside of clinical trials. RWE can be used to understand how medications work in real-world settings, including how well they are tolerated, how effective they are, and how they interact with other medications. The Center for Excellence in Real-world Evidence provides support for research and training, and is a leading resource for high-quality research on medication usage, risks, and effectiveness among large populations.

The Center leverages large datasets to generate knowledge on medications by using sophisticated analytic techniques to get the most accurate, precise, and timely estimates to improve public health. This evidence complements data and knowledge from randomized, controlled trials.

 

Leadership Team:

Carlos Alvarez

Carlos Alvarez, Pharm.D., MSc, MSCS
Director

Ron Hall, Pharm.D

Ronald G. Hall, Pharm.D. MSCS

Krystal Haase, Pharm.D.

Krystal Haase, Pharm.D.

Irene La-Beck

Irene La-Beck, Pharm.D.

Meredith Sigler, Pharm.D.

Meredith Sigler, Pharm.D.

 

Nadezhda German, Ph.D.

Nadezhda German, Ph.D.

Amie Blaszczyk, Pharm.D.

Amie Blaszczyk, Pharm.D.

 

   

 

Chief Analysts:

perkins Aaron Perkins, MS
vu Christine Vu, MPH

 

Biostatistician:

yang Hui “Hanna” Yang, MS

 

  • Pharmacoepidemiology
  • Pharmacoeconomics
  • Implementation Science
  • Biostatistics
  • Veteran Affairs Corporate Data Warehouse
  • Cerner Real-world Data
  • UT Southwestern Medical Center
  • North Texas VA Healthcare System
  • Parkland Health
  • The University of California, Los Angeles
  • Baylor College of Medicine
  • University of Connecticut (UConn)
  • University of Pennsylvania
  • University of Texas at Austin