AI ROBOTS IN CRITICAL CARE: TRANSFORMING PATIENT OUTCOMES AND NURSING EFFICIENCY- A COMPREHENSIVE REVIEW

Author Name: Prof. M. Sankara Selvi

Volume: 03/02

Country: India

DOI NO.: 11.2023-61555522 DOI Link: https://doi-ds.org/doilink/02.2026-11875128/GIJNR

Affiliation:

1. Vice Principal Annasamy Rajammal College of Nursing, Tenkasi, Tamil Nadu

ABSTRACT

Background: Critical care units face unprecedented challenges including workforce shortages, increasing patient complexity, and rising demands for continuous monitoring. Artificial intelligence (AI) and robotic technologies are emerging as transformative solutions to enhance patient outcomes while improving nursing workflow efficiency. Objective: This review examines the current applications of AI robots in critical care settings, their impact on patient care quality and nursing efficiency, and identifies implementation challenges and future directions. Methods: A comprehensive literature review was conducted across PubMed, CINAHL, and IEEE Xplore databases covering publications from 2019-2024. Studies examining AI robotic applications in intensive care units, emergency departments, and acute care settings were included. Results: AI robots in critical care encompass monitoring systems, medication delivery platforms, telepresence robots, and disinfection units. Evidence demonstrates improvements in early detection of patient deterioration, reduced medication errors, enhanced infection control, and significant time savings for nursing staff. Implementation challenges include initial costs, technical integration, and staff training requirements. Conclusions: AI robots represent a promising frontier in critical care, offering dual benefits of improved patient safety and enhanced nursing efficiency. Successful integration requires addressing technical, organizational, and ethical considerations while maintaining the essential human elements of compassionate care.

Key words: Artificial intelligence, robotics, critical care, intensive care unit, nursing efficiency, patient outcomes, healthcare technology