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A.I. expert Yusuf Tamer discusses an end-to-end early sepsis prediction and response workflow that utilizes machine learning, FHIR APIs, and an EHR-integrated decision support app to improve identification and treatment of sepsis cases in the inpatient setting. This workflow has been successfully implemented at a large safety-net hospital and has the potential to significantly reduce sepsis mortality rates.