Research

A collection of researchers looking over computer imagery research icons

PURPOSE

Given the potential of AI to transform healthcare and enhance data-driven decision making, there is an urgent need to re-imagine clinical research in the era of digital transformation and AI.   

UT-HIP is positioned uniquely to power the discovery in healthcare AI and digital innovations, accelerate the digital transformation of clinical research and practice, and build a statewide learning health system.   

STRATEGIC GOALS

Our current goal is to establish the UT-HIP Research Collaborative, formed with one to two representatives from each of the UT Health institutions, who can best represent the institution in the following topic areas: clinical data warehouse, clinical trial infrastructure, AI and digital health, and population health.    

UT-HIP aims to support system-wide research initiatives, analytics and visualizations by combining Electronic Health Record data from UT-HIP partnering institutions, supported by the partnering institutions who intend to use these datasets for research purposes across the UT System. The UT-HIP Data Platform has great potential for clinical research, providing a single, secure location for large and varied datasets. Specifically, it will support our plans for developing AI and Big Data projects for advancing patient care across the UT system. 

The purpose of this initiative is to enable secure access and utilization of de-identified datasets available in the UT-HIP Data Platform for Research projects. This includes retrospective studies using already existing data, statistical analyses, cohort identification, preparatory research studies, AI, and Big-data studies. UT-HIP will consider researcher-initiated projects, funded studies such as NIH grants or industry-collaboration studies.  This platform will help reduce barriers of entry for multi-institutional research projects by creating a streamlined, self-service method for access and use of these datasets across all our partnering institutions. 

 

UT-HIP RESEARCH COLLABORATIVE LEADERS 

UT Health Intelligence Platform 

  • Quamishia ShuRon Green, Executive Director, UT Health Science Center at Houston 

The University of Texas Southwestern Medical Center 

  • Eric Peterson, Co-Chair, Vice Provost and Senior Associate Dean to Clinical Research, Vice President for Health System Research 

The University of Texas Health Science Center at Houston 

  • Hongfang Liu, Co-Chair, Vice President of Learning Health System for Translational AI Excellence and Applications in Medicine (TEAM-AI) 
  • Charles Trey Miller, Professor and Associate Dean for Hospital Quality Initiatives 
  • Trudy Krause, Co-Director of the Center for Health Care Data in the Department of Management, Policy and Community Health 
  • Cecilia M. Ganduglia Cazaban, Co-Director of the Center for Health Care Data in the Department of Management, Policy and Community Health 
  • Assaf Gottlieb, PhD, Research Collaborative Project Manager 

The University of Texas at Austin Dell Medical School 

  • Claudia Lucchinetti, Dean, Senior Medica President for Medical Affairs 

The University of Texas Rio Grande Valley School of Medicine 

  • Glorimar Colón, JD, MHEA, ECoP®, Assistant Vice President for Research Integrity 
  • Thomas Spencer, PhD, MBA, Sr. Associate Vice President for Research Operations 

The University of Texas at Tyler Health Science Center 

  • Susan McBride, Associate Dean of Research, Jacqueline M. Braithwaite Endowed Chair 
  • Andrea Cooley, Assistant Professor of Medical Education, Medical Director of Simulation 

The University of Texas Health Science Center at San Antonio 

  • Ed Sankary, Chief Health Information Officer 
  • Kal Clark, Vice Chair for Informatics 

The University of Texas Medical Branch at Galveston 

  • Alan Lee Landay, PhD, Vice President, Team Science 

The University of Texas MD Anderson Cancer Center 

  • Nyma Shah, Executive Director, Strategy 

 

 

Research goals graphic