ArticleDelaware journal of public health2026
When Collaborative Robots Meet the Bedside: Nurses Informing Emerging Artificial Intelligence Technology.
Article in Delaware journal of public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Across the United States, clinicians working in the acute care hospital settings continue to face persistent workforce shortages. As artificial intelligence (AI) becomes increasingly integrated into healthcare delivery, it is critical to explore technology-enabled solutions that reduce non-clinical workload without compromising care. At ChristianaCare, a nurse-led team of executive and clinical leaders, researchers, and informaticians, launched a three-year, grant funded collaborative robot (cobot) pilot program starting in 2022 to evaluate whether cobots could offload repetitive, time-consuming non-clinical tasks from staff. At the conclusion of the grant period in 2025, the findings demonstrated operational value in select high-volume workflows, such as non-urgent medication and equipment deliveries. However, the pilot also revealed that current cobot capabilities were unable to meaningfully augment nurses' complex and often time-sensitive patient care workflows. These findings underscore the need for engineers and scientists to partner closely with nurses and frontline hospital staff throughout the design and implementation processes to ensure AI powered cobots deliver high impact, workforce-supporting solutions. Additionally, healthcare leaders should not underestimate their role in facilitating these collaborations and removing organizational barriers that could influence operational success.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.