Case Study: University of Texas Medical Branch screens 10x more patients with Retool AI apps

University of Texas Medical Branch screens 10x more patients with Retool

The University of Texas Medical Branch (UTMB) faced a challenge in scaling its diagnostic testing capabilities due to a manual and time-consuming process for reviewing patient toxicology cases. This bottleneck prevented them from meeting growing patient demand. UTMB needed to rapidly build internal applications to support these clinical workflows without lengthy development timelines, and they turned to Retool Apps, Retool AI, and Retool Workflows for a solution.

Using Retool, UTMB built an AI-powered application called AutoTox that integrated with their medical records system and the OpenAI API. This solution reduced patient testing time by 66%, from 15 minutes to 5 minutes per case. The result was a 10x increase in capacity, allowing them to screen 500 patients per week instead of 50. Retool enabled the team to develop and deploy this HIPAA-compliant application in just five weeks, dramatically improving both efficiency and diagnostic accuracy.

University of Texas Medical Branch