School of Nursing


Doctor of Nursing Practice (DNP)


onia R. Kennedy


SupraVista, Identifying Sepsis, Manigo, Clinical Decision Support




This paper describes an evidence-based quality improvement project within an acute healthcare organization to prevent early sepsis and mortality due to sepsis in the emergency department of a Veterans Affairs (VA) facility. Early recognition and intervention of sepsis is essential to provide the best treatment. The intent of the project is to support the utilization of health information technology (HIT) in preventing early sepsis and death related to sepsis. The project was implemented to determine the effect of identifying sepsis cases with the use of the patient electronic health record (EHR) through the use of the Sequential Organ Failure Assessment (qSOFA tool). Metrics for identifying cases will be followed at an acute facility comparing results before and after the implementation of the Clinical Decision Support System (CDSS). Analysis of the project utilized descriptive statistics to illustrate a decrease in the use of SupraVista but increase of use of the qSOFA calculator. The project illustrates a potential for the qSOFA calculator to have a positive impact on identifying sepsis cases and initiating early treatment. The results showed that provider acceptance and utilization of new technology has the potential to significantly impact patient outcomes.

Available for download on Wednesday, October 12, 2022

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