ArticleApplied clinical informatics2025
Clinical Decision Support to Reduce Hospital Length-of-Stay for Cancer Patients with Fever and Neutropenia.
Article in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Improving Discrete Documentation of Cancer Staging-An Alert-Free Approach.Applied clinical informatics · 2025Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pediatric cancer patients with fever and neutropenia are at risk for bacterial sepsis, traditionally requiring extended hospital stays on antibiotics until neutrophil counts recover. According to a newly validated scoring system, a subset of these patients is at lower risk and eligible for early discharge and reduced intravenous (IV) antibiotic exposure.Reduce length-of-stay (LOS) for febrile neutropenic patients using clinical decision support (CDS) to identify low-risk patients.A CDS system was developed to (1) screen febrile neutropenic patients using a validated clinical decision rule, (2) surface when low-risk patients become eligible for discharge, and (3) facilitate close phone follow-up for patients discharged early. The system was implemented in March 2023 and iteratively refined based on usability testing.Postimplementation, LOS did not improve significantly, and uptake of the CDS tool remained low. Though the tool had the potential to reduce LOS, the limited staff engagement was a significant barrier to success. Safety outcomes, including ICU readmissions and mortality, remained unaffected.Despite carefully designed CDS applying an evidence-based scoring system and using human-centered design methodology, the failure to achieve the desired reduction in LOS was primarily due to insufficient uptake by clinical staff. This highlights the need for stronger strategies to ensure clinician engagement and integration into workflows for CDS tools to be effective.
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