Prediction of Rehospitalization Following a Sepsis Admission Using a Wearable Biopatch and Deep Learning Model
The goal of this observational study is to learn about the utility of biopatches predicting 30-day readmissions in patients discharged from the hospital with sepsis. The main question\[s\] it aims to answer are: • Does the application of a biopatch provide data that can improve prediction of an unplanned 30-day readmission following a hospitalization for sepsis. Participants will be asked to wear a biopatch on their chest for 30-days following hospital discharge or until readmission to the hospital.
• Age \>= 18 years Development of sepsis, defined by recent international guidelines (Suspected infection AND 2-point change in sequential organ failure assessment (SOFA) score), in emergency department or hospital Admission to hospital from emergency department