Dr. Samir Shah serves as the Le Bonheur Chair of Excellence and as Professor & Chief of Pediatric Critical Care Medicine at the Le Bonheur Children’s Hospital in Memphis, TN affiliated with the University of Tennessee Health Sciences Center (UTHSC). Dr. Shah successfully pursued a Master’s degree in Business Administration with the goal of understanding and promoting improvement in healthcare via innovation.
Dr. Shah is a board certified Pediatric Critical Care Physician and he has devoted his career in conducting pioneering research in pediatric severe sepsis. Earlier, he led the clinical development of Pediatric Sepsis Screening Paper Tool at the University of Manitoba in collaboration with the Canadian Research Collaborative. At UTHSC / Le Bonheur Children’s Hospital; he was instrumental in the development of a virtual pediatric severe sepsis-screening tool for integration with the electronic medical record which was tested for accuracy using iterative modeling. He subsequently developed and implemented an innovative Electronic Pediatric Severe Sepsis Screening Tool (eASSIST) using code logic variables that were integrated within a clinical decision algorithm for real-time detection of pediatric patients with severe sepsis with high sensitivity and specificity. This electronic screening tool is currently in operation for all in-patient admissions between the ages of 1 – 18 years at the 255-bed free standing Le Bonheur Children’s Hospital; an affiliate of the Methodist Le Bonheur Healthcare system. This operation has led to earlier identification of severe sepsis and reduction in the time to antibiotic administration in children clinically identified with severe sepsis. His team also examined the role of miRNA biomarkers in school aged children identified with severe sepsis. In collaboration with Co-PIs Kamaleswaran and Oguz at UTHSC, he successfully examined the role of physiomarkers in earlier identification of children with severe sepsis using Artificial Intelligence principles.
Currently, Dr. Shah and his team is going back from the bedside to the bench to examine the role of integrating bio-informatic algorithms using physiomarkers for earlier diagnosis of severe sepsis in a piglet model. His goal is to examine the role of wearable technology for earlier identification of physiomarker changes associated with severe sepsis.