System-Level AI Governance in Nursing: A Practical Framework for Safe and Scalable Adoption.

Wang J, Yang Y, Marshall D, Shucoski P, Gross T, Frederick R, Pappas S

Open source

DOI
10.1097/naq.0000000000000772
Published
2026 Oct-Dec 01
Container
Nursing administration quarterly
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1097/naq.0000000000000772,
  title = {System-Level AI Governance in Nursing: A Practical Framework for Safe and Scalable Adoption.},
  author = {Wang J and Yang Y and Marshall D and Shucoski P and Gross T and Frederick R and Pappas S},
  year = {2026},
  journal = {Nursing administration quarterly},
  doi = {10.1097/naq.0000000000000772},
  url = {https://doi.org/10.1097/naq.0000000000000772}
}

RIS

TY  - JOUR
TI  - System-Level AI Governance in Nursing: A Practical Framework for Safe and Scalable Adoption.
AU  - Wang J
AU  - Yang Y
AU  - Marshall D
AU  - Shucoski P
AU  - Gross T
AU  - Frederick R
AU  - Pappas S
PY  - 2026
JO  - Nursing administration quarterly
DO  - 10.1097/naq.0000000000000772
UR  - https://doi.org/10.1097/naq.0000000000000772
ER  - 

APA

J, W., Y, Y., D, M., P, S., T, G., R, F., & S, P. (2026). System-Level AI Governance in Nursing: A Practical Framework for Safe and Scalable Adoption.. Nursing administration quarterly. https://doi.org/10.1097/naq.0000000000000772

Source records