Ambulatory Risk Models for the Long-Term Prevention of Sepsis: Retrospective Study.
Jewel Y LeeSevda MolaniChen FangKathleen JadeD Shane O'MahonySergey A KornilovLindsay T MicoJennifer J HadlockPublished in: JMIR medical informatics (2021)
Accurate implementable models were developed to predict the 2-year risk of sepsis, using EHR data that is easy to obtain from ambulatory encounters. These results help advance the understanding of sepsis and provide a foundation for future trials of risk-informed preventive care.