Clinical Handover Between Nursing and Radiologic Technologists and Its Impact on Imaging Workflow Efficiency

Authors

  • Alruwaili, Mushyirah Khazal F
  • Hana Habbas Alqari Alruwaili
  • Mansour Shayem M Alenezi
  • Thamer Abdullah Shukr
  • Tariq Obaid Saket Alshammari
  • Aminah Obaid Saket Alshammari
  • Nadiyah Turki Alanazi
  • Ahlam Mukhleef Alruwaili
  • Reham Munther Bustan Al-Anazi
  • Alhmed, Marwan Gasim M
  • Sulaiman Dhaher Awad Alshammari

DOI:

https://doi.org/10.22399/ijcesen.4801

Keywords:

Clinical Handover, Nursing, Radiologic Technologist, Imaging Workflow, Patient Safety, Interprofessional Communication

Abstract

The clinical handover between nursing staff and radiologic technologists represents a critical juncture in patient care, directly impacting both safety and operational efficiency within medical imaging departments. This transfer of responsibility and information, when suboptimal, leads to significant risks including patient harm from incomplete data (e.g., unreported allergies or renal impairment), procedural delays, and non-diagnostic studies requiring repeats. These inefficiencies create costly workflow disruptions, reducing scanner throughput and increasing staff frustration. Conversely, implementing standardized handover protocols—supported by health information technology, interprofessional education, and strong leadership—fosters a shared mental model. This transforms the handover into a reliable mechanism that safeguards patients, enhances image quality, optimizes resource utilization, and strengthens collaborative culture, ultimately serving as a cornerstone for high-reliability healthcare delivery.

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Published

2024-05-30

How to Cite

Alruwaili, Mushyirah Khazal F, Hana Habbas Alqari Alruwaili, Mansour Shayem M Alenezi, Thamer Abdullah Shukr, Tariq Obaid Saket Alshammari, Aminah Obaid Saket Alshammari, … Sulaiman Dhaher Awad Alshammari. (2024). Clinical Handover Between Nursing and Radiologic Technologists and Its Impact on Imaging Workflow Efficiency. International Journal of Computational and Experimental Science and Engineering, 10(4). https://doi.org/10.22399/ijcesen.4801

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Section

Research Article