An Electronic Warning System Helps Reduce the Time to Diagnosis of Sepsis
Overview
General Medicine
Authors
Affiliations
Objective: To describe the improvements of an early warning system for the identification of septic patients on the time to diagnosis, antibiotic delivery, and mortality.
Methods: This was an observational cohort study that describes the successive improvements made over a period of 10 years using an early warning system to detect sepsis, including systematic active manual surveillance, electronic alerts via a telephonist, and alerts sent directly to the mobile devices of nurses. For all periods, after an alert was triggered, early treatment was instituted according to the institutional sepsis guidelines.
Results: In total, 637 patients with sepsis were detected over the study period. The median triage-to-diagnosis time was reduced from 19:20 (9:10 - 38:15) hours to 12:40 (2:50 - 23:45) hours when the manual surveillance method was used (p = 0.14), to 2:10 (1:25 - 2:20) hours when the alert was sent automatically to the hospital telephone service (p = 0.014), and to 1:00 (0:30 - 1:10) hour when the alert was sent directly to the nurse's mobile phone (p = 0.016). The diagnosis-to-antibiotic time was reduced to 1:00 (0:55 - 1:30) hours when the alert was sent to the telephonist and to 0:45 (0:30 - 1:00) minutes when the alert was sent directly to the nurse's mobile phone (p = 0.02), with the maintenance of similar values over the following years. There was no difference in the time of treatment between survivors and non-survivors.
Conclusion: Electronic systems help reduce the triage-to-diagnosis time and diagnosis-to-antibiotic time in patients with sepsis.
Impact of an electronic alert system for pediatric sepsis screening a tertiary hospital experience.
Alturki A, Al-Eyadhy A, Alfayez A, Bendahmash A, Aljofan F, Alanzi F Sci Rep. 2022; 12(1):12436.
PMID: 35859000 PMC: 9300636. DOI: 10.1038/s41598-022-16632-2.
Suttapanit K, Dangprasert K, Sanguanwit P, Supatanakij P Int J Emerg Med. 2022; 15(1):18.
PMID: 35538415 PMC: 9087922. DOI: 10.1186/s12245-022-00420-w.
Ackermann K, Baker J, Green M, Fullick M, Varinli H, Westbrook J J Med Internet Res. 2022; 24(2):e31083.
PMID: 35195528 PMC: 8908200. DOI: 10.2196/31083.
Nunnally M, Ferrer R, Martin G, Martin-Loeches I, Machado F, De Backer D Intensive Care Med Exp. 2021; 9(1):34.
PMID: 34212256 PMC: 8249046. DOI: 10.1186/s40635-021-00400-z.
Sepsis Alerts in Emergency Departments: A Systematic Review of Accuracy and Quality Measure Impact.
Hwang M, Bond W, Powell E West J Emerg Med. 2020; 21(5):1201-1210.
PMID: 32970576 PMC: 7514413. DOI: 10.5811/westjem.2020.5.46010.