ArticleJournal of medical Internet research2025
Technological Solutions to Improve Inpatient Handover in the Era of Artificial Intelligence: Scoping Review.
Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- AI-Based Structured Information Extraction From Synthetic Nursing Handover Transcripts: Comparative Evaluation of Large Language Models.JMIR nursing · 2026Article
- Reframing Person-Centered Fundamental Care in the Age of Artificial Intelligence, Robotics and Posthumanization: A Theory-Informed Narrative Review.Journal of multidisciplinary healthcare · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Clinical care globally faces increasing strain due to escalating documentation demands. Simultaneously, technological solutions for clinical workflows, particularly inpatient handovers, are being developed to alleviate workforce stress. However, the maturity, adoption scale, and impact of these technologies on clinical practice remain unclear. Objective: To address this gap, we conducted a scoping review to summarize current advancements in technological solutions for inpatient handovers. Methods: This study was prospectively registered on Open Science Framework. Publications from January 1, 2010, to January 1, 2024, were retrieved from MEDLINE, Embase, Cochrane Library, and Scopus. To be included in this review, studies were required to focus on (1) the implementation, assessment, or enhancement of health care provider handover workflows; (2) inpatient setting; and (3) the proposal or implementation of one or more technological solutions. Abstract and full-text screenings were conducted independently by 2 reviewers, with conflicts resolved by a third reviewer. Data extraction and synthesis were performed by multiple authors and cross-reviewed for accuracy. Results: The search identified 779 publications, of which 53 met the inclusion criteria. Analysis revealed a predominance of low-complexity technologies, such as electronic checklists, with limited exploration of advanced solutions like natural language processing. Most studies were in the pilot stage (33/53, 62%), while some described documented implementations (11/53, 21%). Reported outcomes included improvements in the completeness, accuracy, and consistency of critical information during patient transfers (20/53, 38%). Challenges included scalability, inconsistent adoption, and difficulties integrating advanced technologies into existing workflows. Conclusions: Low-complexity technological solutions show potential for enhancing inpatient handovers but face barriers to scalability and sustained adoption. While artificial intelligence (AI) has the potential to bring transformative benefits, a limitation of this review is that none of the included studies reported successful clinical implementations of AI solutions aimed at improving handover processes.
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What OpenQuestion holds
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.