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

Jing Wang, Yijiong Yang, David Marshall, Patricia Shucoski, Tera Gross, Ryannon Frederick, Sharon Pappas

Open source

DOI: 10.1097/naq.0000000000000772
Published: 2026-10
Container: Nursing Administration Quarterly
Publisher: Ovid Technologies (Wolters Kluwer Health)
Open access: unknown

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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 = {Jing Wang and Yijiong Yang and David Marshall and Patricia Shucoski and Tera Gross and Ryannon Frederick and Sharon Pappas},
  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  - Jing Wang
AU  - Yijiong Yang
AU  - David Marshall
AU  - Patricia Shucoski
AU  - Tera Gross
AU  - Ryannon Frederick
AU  - Sharon Pappas
PY  - 2026
JO  - Nursing Administration Quarterly
DO  - 10.1097/naq.0000000000000772
UR  - https://doi.org/10.1097/naq.0000000000000772
ER  -

APA

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

crossref · retrieved 2026-09-26T08:09:35.991Z