Using Implementation Science to Evaluate a Virtual Nursing Care Model in a Medical and Surgical Acute Care Setting

Virtual nurses, experienced nurses who use technology to remotely direct patient care, are rapidly being introduced into acute care settings as part of the strategy to mitigate nursing shortages and burnout. We used an implementation science approach to evaluate the implementation outcomes of a pilot virtual nursing model in a 40-bed medical/surgical unit. Using Proctor's implementation outcomes of acceptability, adoption, appropriateness, fidelity, and feasibility, this mixed-methods study included observations, focus groups with virtual nurses, surveys on direct care staff, and additional quantitative analysis. Virtual nurses, who became integral members of the care team, engaged in admissions, discharges, patient education, remote monitoring, and staff mentoring. Virtual nurses reported high satisfaction due to greater patient interaction and supporting colleagues. Bedside care staff reported that the virtual nurse support not only was useful, but also increased time to provide direct patient care. The study highlights the learnings related to implementation outcomes of integrating a team-based virtual care model. The model, which introduced teamwork between bedside and virtual nurses, improved workflow, created a meaningful role for experienced nurses, and supported nursing practice for bedside nurses. Implications for standardizing training and the challenge in creating meaningful teamwork and efficient workflows are discussed.

Authors

Institutions

Publication Details

Journal
CIN Computers Informatics Nursing
Published
2025-04-29
DOI
https://doi.org/10.1097/cin.0000000000001318
Citations
1
Primary Topic
Simulation-Based Education in Healthcare
Type
article
Field-Weighted Citation Impact
1.16
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using Implementation Science to Evaluate a Virtual Nursing Care Model in a Medical and Surgical Acute Care Setting

Tajudaullah Bhaloo, H. G. Turney, Christine M. Petersen, Patricia R. DeLucia et al.
1 citations
CIN Computers Informatics Nursing
Simulation-Based Education in Healthcare
1.16
article

Using Implementation Science to Evaluate a Virtual Nursing Care Model in a Medical and Surgical Acute Care Setting

Tajudaullah Bhaloo, H. G. Turney, Christine M. Petersen, Patricia R. DeLucia, Audrey Kobina, Jayashri Prakash, Jessica Peterson, Natalie Dial, Gaynelle Lawry
article en
1 citations

Abstract

Virtual nurses, experienced nurses who use technology to remotely direct patient care, are rapidly being introduced into acute care settings as part of the strategy to mitigate nursing shortages and burnout. We used an implementation science approach to evaluate the implementation outcomes of a pilot virtual nursing model in a 40-bed medical/surgical unit. Using Proctor's implementation outcomes of acceptability, adoption, appropriateness, fidelity, and feasibility, this mixed-methods study included observations, focus groups with virtual nurses, surveys on direct care staff, and additional quantitative analysis. Virtual nurses, who became integral members of the care team, engaged in admissions, discharges, patient education, remote monitoring, and staff mentoring. Virtual nurses reported high satisfaction due to greater patient interaction and supporting colleagues. Bedside care staff reported that the virtual nurse support not only was useful, but also increased time to provide direct patient care. The study highlights the learnings related to implementation outcomes of integrating a team-based virtual care model. The model, which introduced teamwork between bedside and virtual nurses, improved workflow, created a meaningful role for experienced nurses, and supported nursing practice for bedside nurses. Implications for standardizing training and the challenge in creating meaningful teamwork and efficient workflows are discussed.

CIN Computers Informatics NursingVol. 44(1)
Memorial Hermann (US), Peterson (Norway) (NO)
Openalex Percentile: Top 23%
Simulation-Based Education in Healthcare
1.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.