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 language | English (US) |
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Title of host publication | Nurses and Midwives in the Digital Age - Selected Papers, Posters and Panels from the 15th International Congress in Nursing Informatics |
Editors | Michelle Honey, Charlene Ronquillo, Ting-Ting Lee, Lucy Westbrooke |
Publisher | IOS Press BV |
Pages | 408-413 |
Number of pages | 6 |
ISBN (Electronic) | 9781643682204 |
DOIs | |
State | Published - Dec 15 2021 |
Event | 15th International Congress in Nursing Informatics: Nurses and Midwives in the Digital Age, NI 2021 - Virtual, Online Duration: Aug 23 2021 → Sep 2 2021 |
Publication series
Name | Studies in Health Technology and Informatics |
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Volume | 284 |
ISSN (Print) | 0926-9630 |
ISSN (Electronic) | 1879-8365 |
Conference
Conference | 15th International Congress in Nursing Informatics: Nurses and Midwives in the Digital Age, NI 2021 |
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City | Virtual, Online |
Period | 8/23/21 → 9/2/21 |
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