Validation process of a high-resolution database in a paediatric intensive care unit-Describing the perpetual patient's validation.
big data
critical care
database
electronic health record
paediatrics
Journal
Journal of evaluation in clinical practice
ISSN: 1365-2753
Titre abrégé: J Eval Clin Pract
Pays: England
ID NLM: 9609066
Informations de publication
Date de publication:
Apr 2021
Apr 2021
Historique:
received:
11
03
2020
revised:
10
04
2020
accepted:
12
04
2020
pubmed:
7
5
2020
medline:
29
7
2021
entrez:
7
5
2020
Statut:
ppublish
Résumé
High data quality is essential to ensure the validity of clinical and research inferences based on it. However, these data quality assessments are often missing even though these data are used in daily practice and research. Our objective was to evaluate the data quality of our high-resolution electronic database (HRDB) implemented in our paediatric intensive care unit (PICU). We conducted a prospective validation study of a HRDB in a 32-bed paediatric medical, surgical, and cardiac PICU in a tertiary care freestanding maternal-child health centre in Canada. All patients admitted to the PICU with at least one vital sign monitored using a cardiorespiratory monitor connected to the central monitoring station. Between June 2017 and August 2018, data from 295 patient days were recorded from medical devices and 4645 data points were video recorded and compared to the corresponding data collected in the HRDB. Statistical analysis showed an excellent overall correlation (R This prospective validation of a representative sample showed an excellent overall data quality.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
316-324Subventions
Organisme : Fonds de Recherche du Québec - Nature et Technologies
Organisme : Fonds de Recherche du Québec - Santé
Organisme : Université de Montréal
Informations de copyright
© 2020 John Wiley & Sons, Ltd.
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