Metadata for: Comparing Automated Surveillance Systems for Detection of Pathogen-Related Clusters in Healthcare Settings

DOI

Microbiological data extracted from the laboratory information management system encompassing the period from 1st January 2014 to 31st December 2021. Parameters include the following: specimen number, specimen date, specimen type, isolate number, and antibiotic susceptibility test results. Antibiotic resistance and susceptibility were further qualitatively described as resistant (R), intermediate and from 2021 onwards ‘Susceptible, increased exposure’ (I), and susceptible (S) based on minimum inhibitory concentration (MIC) test results.

From the electronic health records database, extracted demographic data includes patient pseudo-ID, sex, age and movement data (ward admission and discharge date) for all patients with a microbiological culture taken.

For purposes of this study persons who registered an objection to use of their medical data were excluded from this study.

Three methods for automated surveillance for outbreak detection were applied to this data.

Identifier
DOI https://doi.org/10.34894/XO0LYD
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/XO0LYD
Provenance
Creator Maaike S.M. van Mourik ORCID logo; Susanne Pinto ORCID logo; Jean Xiang Ying Sim
Publisher DataverseNL
Contributor Datamanagement Laboratories, Pharmacy & Biomedical Genetics; S.I.M. Bongers; Maaike S.M. van Mourik
Publication Year 2024
Funding Reference Health~Holland
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Datamanagement Laboratories, Pharmacy & Biomedical Genetics (UMC Utrecht)
Representation
Resource Type Clinical data; Dataset
Format application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; text/rtf
Size 15510; 17518
Version 1.0
Discipline Life Sciences; Medicine
Spatial Coverage UMC Utrecht