Gold Standard Evaluation of an Automatic HAIs Surveillance System
Joint Authors
Fdez-Riverola, Florentino
Glez-Peña, Daniel
Villamarín-Bello, Beatriz
Uriel-Latorre, Berta
Sande-Meijide, María
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-09-23
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Hospital-acquired Infections (HAIs) surveillance, defined as the systematic collection of data related to a certain health event, is considered an essential dimension for a prevention HAI program to be effective.
In recent years, new automated HAI surveillance methods have emerged with the wide adoption of electronic health records (EHR).
Here we present the validation results against the gold standard of HAIs diagnosis of the InNoCBR system deployed in the Ourense University Hospital Complex (Spain).
Acting as a totally autonomous system, InNoCBR achieves a HAI sensitivity of 70.83% and a specificity of 97.76%, with a positive predictive value of 77.24%.
The kappa index for infection type classification is 0.67.
Sensitivity varies depending on infection type, where bloodstream infection attains the best value (93.33%), whereas the respiratory infection could be improved the most (53.33%).
Working as a semi-automatic system, InNoCBR reaches a high level of sensitivity (81.73%), specificity (99.47%), and a meritorious positive predictive value (94.33%).
American Psychological Association (APA)
Villamarín-Bello, Beatriz& Uriel-Latorre, Berta& Fdez-Riverola, Florentino& Sande-Meijide, María& Glez-Peña, Daniel. 2019. Gold Standard Evaluation of an Automatic HAIs Surveillance System. BioMed Research International،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1123139
Modern Language Association (MLA)
Villamarín-Bello, Beatriz…[et al.]. Gold Standard Evaluation of an Automatic HAIs Surveillance System. BioMed Research International No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1123139
American Medical Association (AMA)
Villamarín-Bello, Beatriz& Uriel-Latorre, Berta& Fdez-Riverola, Florentino& Sande-Meijide, María& Glez-Peña, Daniel. Gold Standard Evaluation of an Automatic HAIs Surveillance System. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1123139
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1123139