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Visualizing Nursing Workload Information in Pediatric Critical Care
Takeya Takami1,2, Yukie Majima2
1Kobe Children's Hospital, Japan.
Insights
This study addresses nursing workload in pediatric intensive care units (PICUs). It found current pay systems don't recognize nurse experience, proposing a new method to quantify expertise for better evaluation and pay.
Area of Science:
- Medical Informatics
- Nursing Science
- Healthcare Management
Background:
- Nursing workload in Pediatric Intensive Care Units (PICUs) is complex and challenging to measure.
- High nursing workload is linked to adverse patient outcomes.
- Existing workload assessment tools show significant performance variations based on nurse experience.
Purpose of the Study:
- To explore nursing workload measurement and visualization in PICUs using a medical informatics approach.
- To identify and analyze existing workload assessment tools.
- To propose a novel method for quantifying nursing expertise and improving remuneration.
Main Methods:
- Systematic literature review (1990-2024) of CINAHL, PubMed, and Google Scholar.
- Analysis of 15 articles (8 Japanese, 7 English) for regional and international perspectives.
- Identification and comparison of workload assessment tools: TISS-28, NEMS, CAMEO, and NAS.
Main Results:
- Significant performance differences observed between novice and experienced nurses across identified tools.
- Current medical remuneration systems do not adequately account for nurses' skill level variations.
- CAMEO and NAS tools showed potential for differentiating workload based on expertise.
Conclusions:
- There is a critical need to integrate nurse expertise into workload assessment and remuneration.
- Linking CAMEO-based nursing actions with a standardized nursing action master could quantify expertise.
- This approach may enhance the evaluation and fair remuneration of nursing care in PICUs.
Abstract:
This study explores nursing workload measurement and visualization in pediatric intensive care units (PICUs) through a medical informatics lens. The complexity of nursing tasks in PICUs makes workload assessment challenging. However, evidence suggests that higher workloads are associated with adverse outcomes. The literature from 1990 to 2024 was reviewed using CINAHL, PubMed, and Google Scholar, and 15 articles (8 in Japanese and 7 in English) were analyzed to include both regional and international perspectives. Several workload assessment tools (TISS-28, NEMS, CAMEO, and NAS) were identified, revealing large performance differences between new and experienced nurses. A key finding indicates that the current medical remuneration system fails to account for variations in nurses' skill levels. This study proposes linking CAMEO-based nursing actions with the Japanese standardized nursing action master to quantify expertise in clinical information systems, which may improve both evaluation and remuneration of care.
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