Description:  

This webinar will provide an overview of the burden of sepsis in the hospital and review the current recommendations for sepsis management. Various published tools for sepsis screening, including SIRS and QSOFA, and comparing their accuracy to one another and general early warning scores, such as MEWS and NEWS will be discussed. Additionally, there will be a review of the limitations regarding the subjective assessment of sepsis, paying particular attention to who is best situated to answer the question, “Do you suspect infection?” The speaker will share research from the University of Chicago using big data analytics to improve detection and decrease the burden of sepsis screening in the hospital and demonstrate how that can be integrated into the electronic medical record.

 

Learning Objectives:

At the conclusion of this session, the learner should be able to: 

Describe the pros and cons of various sepsis screening approaches in the hospital

Discuss how big data and real-time analytics are transforming the sepsis screening landscape

 

Faculty Bio: 

Dr. Edelson is a hospitalist and researcher at the University of Chicago and the Founder and CEO of Quant HC, a health tech startup. She is a nationally recognized expert in the treatment and prevention of in-hospital cardiac arrest, with a focus in harnessing big data analytics and new technology to identify subtle changes in clinical stability and predict sepsis.  Her work, which has been cited over 6000 times, has been published in high profile journals such as JAMA, Annals of Internal Medicine and the American Journal of Respiratory and Critical Care Medicine. Dr. Edelson is the developer of eCART, an electronic early warning system that uses vital signs, laboratory data and demographics to automatically risk stratify hospitalized patients and alert clinicians in real time when a patient becomes high risk.