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Related Experiment Video

Updated: May 10, 2025

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

An evolving virtual nursing model: Enhancing care delivery through advanced workflow integration.

Amy E Roberson¹, Holly R Martinez², Samantha A Holligan³

¹Department of Nursing, Mayo Clinic, Rochester, MN.

Nursing Outlook

|April 19, 2025

Summary

This summary is machine-generated.

An advanced virtual nursing model improved patient care efficiency by reallocating tasks from bedside nurses. This enhanced model increased admission and discharge rates, optimizing resource allocation.

Keywords:

Electronic health record Optimization Scalability Technology Virtual nursing Workflow

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Area of Science:

Nursing
Healthcare Technology
Clinical Workflow Optimization

Background:

Virtual nursing has evolved from a mentorship model to an essential approach for supporting bedside nurses and improving patient care.
The model's evolution addresses the dynamic demands within clinical settings.

Purpose of the Study:

To detail the development and implementation of an advanced, scalable virtual nursing model.
To enhance healthcare efficiency by reallocating nursing tasks from bedside to virtual roles.

Main Methods:

Task reallocation from bedside to virtual nurses.
Implementation of a revised staffing and reporting structure.
Integration of advanced technology and electronic health record (EHR) functionality for workflow automation.

Main Results:

Increased rates of admission and discharge completion.
Reduced administrative burden on bedside nurses.
Improved resource allocation and care delivery efficiency.

Conclusions:

The advanced virtual nursing model significantly enhanced care delivery and efficiency.
Future directions include expanding virtual nursing, investing in technology, and employing change management strategies.
Patient and nurse acceptance of the model showed variability, highlighting areas for future focus.