A two-stage clinical decision support system for early recognition and stratification of patients with sepsis: an observational cohort study.
JRSM Open
; 6(10): 2054270415609004, 2015 Oct.
Article
en En
| MEDLINE
| ID: mdl-26688744
ABSTRACT
OBJECTIVE:
To examine the diagnostic accuracy of a two-stage clinical decision support system for early recognition and stratification of patients with sepsis.DESIGN:
Observational cohort study employing a two-stage sepsis clinical decision support to recognise and stratify patients with sepsis. The stage one component was comprised of a cloud-based clinical decision support with 24/7 surveillance to detect patients at risk of sepsis. The cloud-based clinical decision support delivered notifications to the patients' designated nurse, who then electronically contacted a provider. The second stage component comprised a sepsis screening and stratification form integrated into the patient electronic health record, essentially an evidence-based decision aid, used by providers to assess patients at bedside.SETTING:
Urban, 284 acute bed community hospital in the USA; 16,000 hospitalisations annually.PARTICIPANTS:
Data on 2620 adult patients were collected retrospectively in 2014 after the clinical decision support was implemented. MAIN OUTCOMEMEASURE:
'Suspected infection' was the established gold standard to assess clinical decision support clinimetric performance.RESULTS:
A sepsis alert activated on 417 (16%) of 2620 adult patients hospitalised. Applying 'suspected infection' as standard, the patient population characteristics showed 72% sensitivity and 73% positive predictive value. A postalert screening conducted by providers at bedside of 417 patients achieved 81% sensitivity and 94% positive predictive value. Providers documented against 89% patients with an alert activated by clinical decision support and completed 75% of bedside screening and stratification of patients with sepsis within one hour from notification.CONCLUSION:
A clinical decision support binary alarm system with cross-checking functionality improves early recognition and facilitates stratification of patients with sepsis.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Tipo de estudio:
Etiology_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
JRSM Open
Año:
2015
Tipo del documento:
Article