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Nurse-Shift Dashboard Prototype for a CHU

Clinical continuity during shift handovers in university hospital settings depends on the systematic aggregation of verified patient records and real-time operational indicators. A dedicated digital shift dashboard reduces cognitive fragmentation by translating complex decision pathways into an accessible bedside overview. Successful institutional adoption requires structured technical controls, validated usability parameters, and phased rollout governance.

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Nurse-Shift Dashboard Prototype for a CHU

Author:

Group

First M. Last

Advisor:

Dr. First Last

City, 2026

Contents

Introduction
1. Governance Context and Clinical Dashboard Architecture in University Hospitals
1.1 Institutional Information Systems in Teaching Hospitals
1.2 Shift Handover Workflows and Continuity of Care
2. Implementation Controls and Technical Specifications of the Interface
2.1 Real-Time Data Aggregation and Clinical Decision Support Feeds
2.2 Usability Standards and Cognitive Load Reduction Controls
3. Evaluation Framework and Information Continuity Assessment
3.1 Clinical Quality Metrics and Handover Completeness
3.2 Ergonomic Feedback and Alert Fatigue Mitigation
4. Deployment Strategy and Multi-Unit Rollout Roadmap
4.1 Phased Clinical Integration and Interoperability Testing
4.2 User Training Protocols and Governance Scaling
Conclusion
Bibliography

Introduction

The proposed work examines Nurse-Shift Dashboard Prototype for a CHU. The topic remains relevant due to its practical and theoretical significance, and because current literature still presents multiple competing interpretations and methodological approaches.

The central problem is the inconsistency of existing findings across sources, including differences in definitions, analytical frameworks, and evaluation criteria. This creates a need for a structured synthesis of evidence and concepts.

The objective is to provide a comprehensive analysis of the topic, clarify key terms, and identify the factors that shape the studied processes. The work is organized through research tasks that connect theoretical foundations with applied implications.

Expected outcomes include a coherent overview of the current state of research, reasoned conclusions, and practical implications for further study. Clinical continuity during shift handovers in university hospital settings depends on the systematic aggregation of verified patient records and real-time operational indicators. A dedicated digital shift dashboard reduces cognitive fragmentation by translating complex decision pathways into an accessible bedside overview. Successful institutional adoption requires structured technical controls, validated usability parameters, and phased rollout governance.

2.1 Real-Time Data Aggregation and Clinical Decision Support Feeds

The implementation of a dedicated digital shift dashboard for university hospital units requires establishing clear design criteria that prioritize accurate clinical decision support alongside standardized communication protocols. When structuring the practical specifications of the interface, the primary architectural criterion involves embedding up-to-date evidence-based clinical pathways and validated algorithms directly within the active shift summary (crossref-10-1097-cin-0000000000000413). Because healthcare practitioners encounter significant operational barriers when clinical decision tools lack current guidance or present fragmented data, the dashboard interface relies on continuous synchronization with institutional electronic health records to preserve data integrity across shifts (crossref-10-1097-cin-0000000000000413). To operationalize these feeds effectively within busy clinical environments, the dashboard incorporates structured electronic documentation modules intended for direct application during bedside nursing exchanges. Clinical handover research indicates that recording patient data in an electronic written format at the bedside improves patient safety, reinforces care continuity, and prevents the loss of vital clinical details during ward handovers (crossref-10-24141-2-3-1-3). Consequently, the practical design applies standardized written checklists that prompt oncoming and outgoing nursing personnel to systematically review and verify critical indicators prior to completing their transition. By linking real-time decision support algorithms with structured bedside entry fields, this dashboard prototype establishes a consistent operational framework for routine shift handovers. This practical configuration prepares clinical teams for streamlined bedside communication, ensuring that essential patient parameters remain accessible and fully contextualized throughout clinical rotations.

References

  1. Nurse perception of nursing handover at the University Clinical Hospital in Zagreb
    Slađana Režić
    Lien DOI
  2. Nurse Handover and Its Implication on Nursing Care in the University of Calabar Teaching Hospital, Calabar, Nigeria
    Alberta David N, Idang Neji O, Jane E
    Lien DOI
  3. Development of a Nurse-Focused, Precision-Oncology Clinical Decision Support Tool
    Erin Dickman
    Lien DOI
  4. Promotion of Nursing Research in Clinical Situations in Japan with Support from University Faculty: Results and Issues Recognized by Hospital Nurse Managers
    Natsuyo Ono
  5. Enhancing Neonatal Care: A Study on Nursing Shift Handover Practices at Base Hospital Akkaraipattu
    Wimalagunarathne K.W.R., Paul Roshan G., Chaminda U.G.G
  6. Barriers for Hospital-Based Nurse Practitioners Utilizing Clinical Decision Support Systems
    Cindy Borum

Bibliographie

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NF ISO 690

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NF ISO 690