Clinical Handover Visualization for Reducing Information Loss

Sarah Mitchell

Clinical Handover Visualization for Reducing Information Loss

Author(s)	Dr. Sarah Mitchell
Country	United States
Abstract	Clinical handover is a high-risk communication transition in which responsibility, accountability, and clinically relevant information must move accurately from one healthcare professional or team to another. Conventional verbal or loosely structured written handovers can be vulnerable to omission, prioritization failure, interruption, memory limitations, and ambiguity regarding pending actions. This simulation-based study examines whether a visualization-supported clinical handover system could reduce information loss by presenting critical patient information through a structured visual hierarchy. A hypothetical sample of 240 handover episodes was modeled, comprising 120 conventional handovers and 120 visualization-supported handovers. The proposed interface organizes illness severity, immediate clinical concerns, medication-related risks, abnormal observations, pending investigations, time-sensitive actions, contingency plans, and responsibility ownership within a single handover view. Simulated results indicate that complete transfer of critical information increased from 78% with conventional handover to 94% with visualization support, while receiver recall increased from 68% to 89%. Documented completion or acknowledgement of priority actions within 30 minutes increased from 62% to 87%. The modeled mean number of critical information omissions decreased from 3.4 to 1.1 per handover, while handover duration remained operationally comparable. The results suggest that visualization may function as a cognitive support mechanism by improving prioritization, reducing dependence on memory, and maintaining shared situational awareness between outgoing and incoming teams. These outcomes are entirely simulated and must not be interpreted as evidence from a completed clinical trial. The study instead provides a methodological framework for future prospective evaluation of visualization-supported clinical handover systems using communication completeness, information retention, action ownership, usability, and patient-safety indicators.
Keywords	clinical handover; information visualization; patient safety; information loss; health informatics; structured communication; SBAR; I-PASS; clinical decision support
Field	Engineering
Published In	Volume 5, Issue 5, September-October 2024
Published On	2024-09-09

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American Journal of Advanced Multidisciplinary Innovation and Research

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Clinical Handover Visualization for Reducing Information Loss

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