Nursing intensity and patient classification in a patient information system
Heljä Lundgren-Laine1, Tarja Suominen
1Turku University Hospital, Department of Nursing Science, University of Turku, Turku, Finland. hklula@utu.fi
This pilot study explored using patient information systems data to better understand nursing intensity in intensive care units. Findings suggest combining nursing intensity and patient classification data can enhance insights into patient care needs.
Area of Science:
- Nursing Informatics
- Healthcare Data Analytics
- Evidence-Based Practice
Background:
- Patient information systems (PIS) are common in intensive care units (ICUs), but their data is underutilized in nursing research.
- Finnish nursing research emphasizes information technology for evidence-based nursing.
- Nursing intensity and patient classification data are key components of ICU PIS.
Purpose of the Study:
- To pilot a method for analyzing PIS data to gain more information on nursing intensity.
- To investigate the combined utility of nursing intensity, patient classification, and patient records.
Main Methods:
- A pilot study was conducted within intensive care units.
- Data from patient information systems, including nursing intensity and patient classification assessments, were analyzed.
- Patient records were integrated into the analysis.
Main Results:
- The study aimed to determine if combining these data sources provides richer information on nursing intensity.
- Preliminary findings suggest potential for enhanced understanding of nursing workload and patient acuity.
Conclusions:
- Integrating nursing intensity, patient classification, and patient records from PIS shows promise for improving the understanding of nursing intensity in ICUs.
- Further research is warranted to validate these findings and optimize data utilization for evidence-based nursing.
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