AIMC Topic: Nurses

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Artificial Intelligence Literacy Levels of Perioperative Nurses: The Case of Türkiye.

Nursing & health sciences
Artificial intelligence (AI) experience among nurses in perioperative settings is crucial for effective healthcare delivery. This study aimed to assess AI literacy levels and associated characteristics among perioperative nurses in Türkiye. This cros...

AI-Assisted Tailored Intervention for Nurse Burnout: A Three-Group Randomized Controlled Trial.

Worldviews on evidence-based nursing
BACKGROUND: High-stress environments, heavy workloads, and the emotional demands of patient care, which are common challenges faced by nurses, are factors that can lead to burnout. Shift work can make traditional burnout interventions costly and diff...

Using Artificial Intelligence for the Early Detection of Micro-Progression of Pressure Injuries in Hospitalized Patients: A Preliminary Nursing Perspective Evaluation.

Studies in health technology and informatics
This study established a predictive model for the early detection of micro-progression of pressure injuries (PIs) from the perspective of nurses. An easy and programing-free artificial intelligence modeling tool with professional evaluation capabilit...

A Survey of Nurses' Need for Care Robots in Children's Hospitals: Combining Robot-Care, Game-Care, and Edu-Care.

Computers, informatics, nursing : CIN
The purpose of this study was to investigate nurses' need for care robots in children's hospitals and to help develop care robots that can be used by combining robot-care, game-care, and edu-care. This study employed a mixed-methods design; 198 nurse...

Computer-Assisted Wound Assessment and Care Education Program in Registered Nurses: Use of an Interactive Online Program by 418 Registered Nurses.

Journal of wound, ostomy, and continence nursing : official publication of The Wound, Ostomy and Continence Nurses Society
PURPOSE: The purpose of this descriptive study was to evaluate use of a previously validated, online, interactive wound assessment and wound care clinical pathway in a group of RNs. Specific aims were to (a) evaluate the proportions of correct, parti...

Machine Learning in Health Care.

Journal of perianesthesia nursing : official journal of the American Society of PeriAnesthesia Nurses