AI Summary of Peer-Reviewed Research
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- ✔ Peer-reviewed source
- ✔ Published in indexed journal
- ✔ No retraction or integrity flags
Overview
A perioperative nursing team developed and implemented a quality dashboard designed to monitor care processes and facilitate identification of improvement opportunities. The initiative integrated the Institute of Medicine framework and Donabedian model to structure quality assessment across perioperative settings. The dashboard consolidated multiple quality indicators into a unified, visually accessible platform for frontline staff and leadership.
Methods and approach
The development process involved collaborative engagement among perioperative nursing staff, institutional leaders, quality advisors, and data analysts. The team conducted metric selection based on established quality frameworks, established standardized measurement protocols, and applied evidence-based visualization principles to optimize data presentation and usability. Selected metrics encompassed safety events, National Performance Goals, surgical site infection rates, and operational efficiency indicators. Implementation employed multimodal dissemination strategies including unit-specific displays and staff meetings to maximize engagement and transparency across the perioperative workforce.
Key Findings
The dashboard successfully consolidated perioperative quality data into an accessible visual format accessible to frontline staff and leadership. Implementation facilitated structured engagement with quality metrics, enabling staff to examine trends and identify quality improvement opportunities. The platform promoted data transparency and created mechanisms for frontline staff to provide feedback and contribute to continuous improvement initiatives.
Implications
The dashboard functions as an operational tool that translates quality metrics into actionable information for perioperative teams. By presenting data in standardized visual formats, the platform enables systematic monitoring of safety events, infection rates, and efficiency measures. The structure supports data-driven decision-making and organizational learning within perioperative settings.
Disclosure
- Research title: The Development and Implementation of a Perioperative Quality Dashboard
- Authors: Elizabeth Kingsbury, Andrew Smith, Ankit Bhargava, Ellen Barth, Patricia A. Dwyer
- Publication date: 2026-02-25
- DOI: https://doi.org/10.1002/aorn.70041
- OpenAlex record: View
- Image credit: Photo by Vitaly Gariev on Unsplash (Source • License)
- Disclosure: This post was generated by Claude (Anthropic). The original authors did not write or review this post.
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