Developing Information Model of Central Line-Associated Bloodstream Infection (CLABSI) Prevention

Young Shin Park, Lisiane Pruinelli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

CLABSIs are one of the most lethal and costly types of healthcare associated infections (HAIs). Regulatory organizations have mandated hospitals to submit monthly surveillance reports. However, there is an inaccuracy of presenting this report because of the lack of data standardization. This descriptive qualitative study aimed to develop a CLABSI prevention Information Model (IM) so the CLABSI prevention guidelines can be incorporated into structured nursing documentations. The flowsheet metadata stored in the Clinical Decision Repository was analyzed using an advanced analytics tool. The CLABSI prevention flowsheet data were mapped to 25 concepts, 45 data attributes and over 200 data value sets after organizing hierarchical structures. Seven domains of CLABSI prevention were identified in a CLABSI prevention IM. It would provide tangible benefits to create a practice reminder of the high risk for CLABSIs based on the nursing flowsheet data sets and multidisciplinary Electronic Health Record (EHR).

Original languageEnglish (US)
Title of host publicationNurses and Midwives in the Digital Age - Selected Papers, Posters and Panels from the 15th International Congress in Nursing Informatics
EditorsMichelle Honey, Charlene Ronquillo, Ting-Ting Lee, Lucy Westbrooke
PublisherIOS Press BV
Pages408-413
Number of pages6
ISBN (Electronic)9781643682204
DOIs
StatePublished - Dec 15 2021
Event15th International Congress in Nursing Informatics: Nurses and Midwives in the Digital Age, NI 2021 - Virtual, Online
Duration: Aug 23 2021Sep 2 2021

Publication series

NameStudies in Health Technology and Informatics
Volume284
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference15th International Congress in Nursing Informatics: Nurses and Midwives in the Digital Age, NI 2021
CityVirtual, Online
Period8/23/219/2/21

Bibliographical note

Publisher Copyright:
© 2021 International Medical Informatics Association (IMIA) and IOS Press.

Keywords

  • Central-line associated blood stream infection
  • concept mapping
  • information model

PubMed: MeSH publication types

  • Journal Article

Fingerprint

Dive into the research topics of 'Developing Information Model of Central Line-Associated Bloodstream Infection (CLABSI) Prevention'. Together they form a unique fingerprint.

Cite this