Speakers - WNSC 2025

Adele Webb

  • Designation: Executive Dean of Healthcare Initiatives at Strategic Education, Inc
  • Country: USA
  • Title: Overview of Augmented Intelligence for Nursing

Abstract

Augmented intelligence (AI) is revolutionizing the field of nursing through its integration into various facets of healthcare delivery. The primary inputs include vast amounts of patient data collected from electronic health records (EHRs), wearable devices, and other health monitoring systems. This data encompasses patient histories, real-time vital signs, diagnostic results, and treatment outcomes, providing a rich and comprehensive dataset for AI systems to process and analyze. By enhancing clinical decision-making, streamlining administrative tasks, and improving patient outcomes. AI-driven tools such as predictive analytics, machine learning algorithms, and natural language processing are enabling nurses to identify at-risk patients, predict disease progression, and tailor interventions more effectively. These technologies are also reducing the burden of documentation and administrative work through automated data entry and intelligent record-keeping systems, allowing nurses to focus more on patient care.

 

AI systems leverage advanced algorithms, machine learning, and natural language processing to interpret and analyze the input data. These technologies facilitate predictive analytics, decision support systems, and personalized care plans. AI's ability to identify patterns and predict outcomes enhances clinical decision-making, streamlines administrative tasks, and improves operational efficiencies. Through these processes, AI supports nurses by providing evidence-based recommendations, automating routine tasks, and enhancing the accuracy of diagnoses and treatments. Additionally, AI-powered wearable devices and telehealth platforms are providing real-time health monitoring and remote patient management, expanding the reach and efficiency of nursing care. Despite the significant advancements, the integration of AI in nursing practice also poses challenges, including the need for proper training, ethical considerations, and the importance of maintaining the human touch in patient interactions.

 

The transformation brought by AI in nursing practice results in improved patient outcomes, increased efficiency, and enhanced patient and staff satisfaction. Outputs include personalized care plans tailored to individual patient needs, early detection of potential health issues, and optimized resource allocation. AI also contributes to continuous education and training for nurses by providing up-to-date information and insights derived from real-world data. Ultimately, the integration of AI into nursing practice leads to a more proactive, efficient, and patient-centered healthcare system. This presentation will detail the impacts on nursing practice from current AI opportunities as well as address the challenges of use along with the future effects as AI continues to develop.

Don't miss our future updates!

Get in Touch