Steven R. Talbert, PhD, RN
An expert in adult trauma nursing, Dr. Talbert works to improve patient outcomes in time-critical situations, such as trauma, heart attack and stroke, using health care simulation and technology. His research areas include trauma triage, emergency and transport services, clinical decision support, big data in health care and health care informatics.
He was principal investigator on a National Institute of General Medical Sciences funded study evaluating Computer Assisted Trauma Triage (CATT) to improve clinical decision-making and system performance in time-critical clinical decisions. The study evaluated five artificial intelligence techniques to predict which acutely injured patients are most likely to benefit from specialized trauma center resources. The study found that different techniques accurately predicted outcomes for different patient subgroups, and support opportunities for further exploration of incorporating technology into the triage process to improve decision-making in trauma and other time-sensitive, complex situations.
Currently, Talbert is a co-investigator on a $2.3 million National Institutes of Health study focused on airway management of mechanically ventilated patients to prevent complications. Dedicated to educating future nurses and nurse researchers, Talbert spends much of his time helping clinicians and students design research, collect and manage data, and analyze data.
Prior to joining the UCF College of Nursing faculty in 2007, Talbert was an Assistant Professor at Duke University School of Nursing. A former flight nurse for nearly a decade, Talbert has 14 years of clinical experience in critical care, trauma and the emergency department. He is currently a reviewer for Clinical Nurse Specialist and a Symposium Development consultant for NASCAR Medical Liaisons.
Talbert earned his BSN from Tennessee Technological University, MSN specializing in adult health and trauma from the University of Alabama Birmingham, and PhD in adult health from the University of Kentucky.
Co-Investigator, Oral Suction Intervention to Reduce Aspiration and Ventilator Events (NO ASPIRATE), National Institutes of Health, National Institute of Nursing Research ($2,338,048).
Computer Assisted Trauma Triage (CATT), PI, National Institute of General Medical Sciences
Strategies for Airway Management & Prevention Endotracheal Tube Cuff Intervention, Data Manager, National Institute for Nursing Research
Health IT Regional Extension Center, Consultant, Federal Government
Prevalence of Intraoperative Neonatal Non-Euglycemia Events, PI, Florida Hospital
Talbert, S., & Sole, M.L. (2013). Too much information: Research issues associated with large databases. Clinical Nurse Specialist 27(2), 73-80.
Sole, M.L., Talbert, S., Penoyer, D., Sokol, S., Bennett, M, & Wilson, J. (2012). Characteristics and outcomes of critically ill patients who require a percutaneous tracheostomy. Critical Care Medicine. 40(12):1-328.
Sole, M.L., Talbert, S., Penoyer, D., Sokol, S., Bennett, M, & Wilson, J. (2012). Changes in physiological and ventilator parameters following tracheostomy. Critical Care Medicine. 40(12):1-328.
Sole, M.L., Penoyer, D.A., Bennett, M., Bertrand, J., & Talbert, S. (2011). Oropharyngeal secretion volume in intubated patients : The importance of oral suction. American Journal of Critical Care, 20, e141-e145.
Sole, M.L., Su, X., Talbert, S., Penoyer, D.A. Kalita, S., Jimenez, E., Ludy, J.E., & Bennett, M. (2011). Evaluation of an intervention to maintain endotracheal tube cuff pressure within therapeutic range. American Journal of Critical Care, 20, 109-119.
Talbert, S. (2009). Changing physiological status predicts need for trauma center resources. Journal of Trauma Nursing, 16(1), 2-7.
- American Medical Informatics Association
- International Council of Motorsports Safety
- Sigma Theta Tau International