Dr Nic Woods discusses tools for early recognition and management of sepsis using the electronic medical record (EMR). Sepsis poses a major global health challenge and burden. Tools discussed include a sepsis predictive model built into the EMR that can detect signs of sepsis with sensitivities of 68-91% and specificities of 91-97.6%. Clinical decision support and workflows in the EMR are also used to alert clinicians and guide treatment. Evaluations found these tools helped reduce mortality from sepsis by 4.2-17% and lower length of hospital stays. Key points emphasized that predictive models integrated into clinical workflows can positively impact outcomes, but more progress is still needed.