Emerging Technological Innovations in Perioperative Nursing

The rapid evolution of technology is reshaping perioperative nursing, transforming care delivery and management in surgical settings. Key innovations, such as electronic health records, artificial intelligence-assisted surgeries, and minimally invasive techniques, have revolutionized OR practices. Beyond the surgical environment, emerging data science methodologies, including large language models and artificial intelligence, are enabling the analysis of large real-world datasets to derive critical insights into patient care. These tools significantly enhance the tracking of nursing-sensitive indicators, such as pain management, fall prevention, and postoperative complications. Furthermore, digital health technologies, including mobile health applications, wearables, telehealth, and remote monitoring, are empowering perioperative teams to engage patients throughout their surgical journey, improving safety, recovery, and management. This article explores the integration of these technologies in perioperative nursing, emphasizing their implications for practice, clinical outcomes, and the need for nurses' technological adaptability to deliver high-quality, evidence-based care.

Authors

Publication Details

Journal
AORN Journal
Published
2025-12-26
DOI
https://doi.org/10.1002/aorn.70002
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Emerging Technological Innovations in Perioperative Nursing

Ragnhildur I. Bjarnadóttir, Lisiane Pruinelli, Hwayoung Cho, Tamara G. R. Macieira
1 citations
AORN Journal
Artificial Intelligence in Healthcare and Education
0.65
article

Emerging Technological Innovations in Perioperative Nursing

Ragnhildur I. Bjarnadóttir, Lisiane Pruinelli, Hwayoung Cho, Tamara G. R. Macieira
article en
1 citations

Abstract

The rapid evolution of technology is reshaping perioperative nursing, transforming care delivery and management in surgical settings. Key innovations, such as electronic health records, artificial intelligence-assisted surgeries, and minimally invasive techniques, have revolutionized OR practices. Beyond the surgical environment, emerging data science methodologies, including large language models and artificial intelligence, are enabling the analysis of large real-world datasets to derive critical insights into patient care. These tools significantly enhance the tracking of nursing-sensitive indicators, such as pain management, fall prevention, and postoperative complications. Furthermore, digital health technologies, including mobile health applications, wearables, telehealth, and remote monitoring, are empowering perioperative teams to engage patients throughout their surgical journey, improving safety, recovery, and management. This article explores the integration of these technologies in perioperative nursing, emphasizing their implications for practice, clinical outcomes, and the need for nurses' technological adaptability to deliver high-quality, evidence-based care.

AORN JournalVol. 123(1)
Industry, innovation and infrastructure
Openalex Percentile: Top 18%
Artificial Intelligence in Healthcare and Education
0.65
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.

Emerging Technological Innovations in Perioperative Nursing — Ragnhildur I. Bjarnadóttir, Lisiane Pruinelli, et al. · AORN Journal (2025) | TGRS Research Map | TGRS