Integration of Virtual Technology and Artificial Intelligence Improves Satisfaction, Patient Safety, and Nursing Workforce Efficiency.

IF 1.2 4区 医学 Q3 NURSING
Cassandra E Tyransky, Kasey Paulus, Erin Langmead, David M Miller, Carol R Smith, Fallon Hughes, Barbara L Buchko, Bruno Saconi
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引用次数: 0

Abstract

Background: Virtual care technology including artificial intelligence (AI) may augment nursing functions creating flexibility in staffing that reduces workforce shortages and enhances patient safety.

Local problem: A health system experienced nursing workforce shortages and patient safety concerns.

Methods: Quality improvement methodology was used to evaluate the impact of implementing virtual care technology with AI.

Interventions: Virtual patient observation (VPO) with AI and virtual nurse (VN) technology were implemented. Nursing assistants served as virtual observers, while registered nurses functioned as VNs, managing patient admissions, discharges, and education.

Results: Unwitnessed in-room patient fall rates decreased 59% and median sitter hours were reduced by 91%. Patient experience and nurse perceptions of patient safety, workforce flexibility, and well-being improved. The program saved 63 hours per month of bedside nurse time.

Conclusions: Nurse leader sponsorship of VPO with AI and VN to augment nursing functions offers a solution to improve patient safety and workforce flexibility.

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来源期刊
CiteScore
2.40
自引率
0.00%
发文量
90
审稿时长
6-12 weeks
期刊介绍: Journal of Nursing Care Quality (JNCQ) is a peer-reviewed journal that provides practicing nurses as well as nurses who have leadership roles in nursing care quality programs with useful information regarding the application of quality principles and concepts in the practice setting. The journal offers a forum for the scholarly discussion of “real world” implementation of quality activities.
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