How the University of Texas Medical Branch improved diagnostic testing for thousands of patients using AI

Enterprise AppGen, an AI-powered app generation tool, has been instrumental in transforming healthcare services at the University of Texas Medical Branch (UTMB), particularly through the development of AutoTox, an AI-driven application designed to automate toxicology interpretation. Under the leadership of Dr. Peter McCaffrey, UTMB's chief AI officer, AutoTox was developed using Retool to enhance diagnostic efficiency by swiftly analyzing toxicology test results and generating reports through OpenAI's GPT models, reducing manual review time from 15 minutes to 5 and increasing case review throughput by tenfold. This innovation has allowed UTMB to significantly enhance patient care delivery, ensuring more accurate and timely diagnostics while complying with internal security and HIPAA regulations. The success of AutoTox has prompted UTMB to explore further AI applications for genomic testing and research lab management, leveraging Retool's capabilities to streamline internal processes and expand the hospital's ability to provide quality care to a larger patient population.