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Developing Information Model of Central Line-Associated Bloodstream Infection (CLABSI) Prevention
Young-Shin Park1, Lisiane Pruinelli2
1University of Minnesota, School of Nursing PM-DNP Graduate, Minneapolis, Minnesota, USA.
Insights
Developing a standardized information model for central line-associated bloodstream infections (CLABSIs) improves reporting accuracy. This model integrates CLABSI prevention guidelines into electronic health records for better patient care.
Area of Science:
- Healthcare Informatics
- Infection Prevention and Control
- Nursing Informatics
Background:
- Central line-associated bloodstream infections (CLABSIs) are significant, costly healthcare-associated infections (HAIs).
- Mandated surveillance reports lack accuracy due to data standardization issues.
- Existing documentation hinders the integration of CLABSI prevention guidelines.
Purpose of the Study:
- To develop a CLABSI Prevention Information Model (IM).
- To enable structured nursing documentation of CLABSI prevention guidelines.
- To improve the accuracy and utility of CLABSI surveillance.
Main Methods:
- A descriptive qualitative study was conducted.
- Flowsheet metadata from the Clinical Decision Repository was analyzed using advanced analytics.
- CLABSI prevention data were mapped to a hierarchical structure of concepts, attributes, and value sets.
Main Results:
- An Information Model (IM) for CLABSI prevention was developed.
- The IM encompasses seven distinct domains of CLABSI prevention.
- Data were organized into 25 concepts, 45 data attributes, and over 200 data value sets.
Conclusions:
- The developed CLABSI Prevention IM facilitates structured documentation.
- Integrating the IM into Electronic Health Records (EHR) can create practice reminders.
- This approach enhances the identification of high-risk CLABSI situations based on nursing data.
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).
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