Completed Trial Shows AI-Driven Real-Time Feedback Improves Sepsis Care Quality — Key Findings for Emergency Physicians

References

1. 1.University of California, San Diego. (2024). Impact of automated sepsis metric evaluation on provider performance. ClinicalTrials.gov. NCT07581340. https://clinicaltrials.gov/study/NCT07581340
2. 2.Rhee, C., Dantes, R., Epstein, L., Murphy, D. J., Seymour, C. W., Iwashyna, T. J., Kadri, S. S., Angus, D. C., Danner, R. L., Fiore, A. E., Jernigan, J. A., Martin, G. S., Septimus, E., Warren, D. K., Karcz, A., Chan, C., Menchaca, J. T., Wang, R., Gruber, S., & Klompas, M. (2017). Incidence and trends of sepsis in US hospitals using clinical vs claims data, 2009-2014. JAMA, 318(13), 1241-1249. https://doi.org/10.1001/jama.2017.13836
3. 3.Levy, M. M., Evans, L. E., & Rhodes, A. (2018). The surviving sepsis campaign bundle: 2018 update. Intensive Care Medicine, 44(6), 925-928. https://doi.org/10.1007/s00134-018-5085-0
4. 4.Seymour, C. W., Gesten, F., Prescott, H. C., Friedrich, M. E., Iwashyna, T. J., Phillips, G. S., Lemeshow, S., Osborn, T., Terry, K. M., & Levy, M. M. (2017). Time to treatment and mortality during mandated emergency care for sepsis. New England Journal of Medicine, 376(23), 2235-2244. https://doi.org/10.1056/NEJMoa1703058
5. 5.Barbash, I. J., Kahn, J. M., & Thompson, B. T. (2019). Opening the black box of the SEP-1 sepsis quality measure. Annals of the American Thoracic Society, 16(11), 1350-1356. https://doi.org/10.1513/AnnalsATS.201902-142PS