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Artificial intelligence

Technological Solutions for Inpatient Handovers in Clinical Care Remain Unclear

Strategic Insights

— 1 min read

Research published in the Journal of Medical Internet Research has highlighted the growing need for technological solutions to alleviate the strain on clinical care workers due to increasing documentation demands. A scoping review conducted by researchers from the University of the Philippines Manila aimed to summarize current advancements in technological solutions for inpatient handovers. The study found that while low-complexity technologies like electronic checklists show potential, they face barriers to scalability and sustained adoption.

Key Takeaways:

  • A total of 779 publications were identified, of which 53 met the inclusion criteria for the review.
  • The majority of studies (33/53, 62%) were in the pilot stage, 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.
  • Low-complexity technological solutions show potential for enhancing inpatient handovers, but face barriers to scalability and sustained adoption.
  • The review found that none of the included studies reported successful clinical implementations of AI solutions aimed at improving handover processes.
  • The analysis revealed a predominance of low-complexity technologies, such as electronic checklists, with limited exploration of advanced solutions like natural language processing.

Statistics:

  • 779 publications were identified for the review
  • 53 publications met the inclusion criteria
  • 33 studies (62%) were in the pilot stage
  • 11 studies (21%) described documented implementations
  • 20 studies (38%) reported improvements in the completeness, accuracy, and consistency of critical information during patient transfers
  • None of the included studies reported successful clinical implementations of AI solutions aimed at improving handover processes

Sources:

  • Technological Solutions to Improve Inpatient Handover in the Era of Artificial Intelligence: Scoping Review. Journal of Medical Internet Research, 2025;27.
  • Journal of Medical Internet Research can be contacted at: Jmir Publications, Inc, 130 Queens Quay East, Unit 1100, Toronto, On M5A 0P6, Canada.
  • Isabelle Rose Alberto, College of Medicine, University of the Philippines Manila, Manila, Philippines.
  • Journal of Engineering, August 18, 2025; p 2435.
  • NewsRx. Researchers at University of the Philippines Manila Report New Data on Artificial Intelligence (Technological Solutions to Improve Inpatient Handover in the Era of Artificial Intelligence: Scoping Review).

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