HOW THE NURSES START LEARNING AND USING ARTIFICIAL INTELLIGENCE IN CRITICAL CARE Formulated by Dr.T.V. Rao MD

HOW THE NURSES START LEARNING AND USING ARTIFICIAL INTELLIGENCE IN CRITICAL CARE

Formulated by Dr.T.V. Rao MD

Nurses’ Role in the Development of Health Care AI (Artificial intelligence)

Including nurses in the development of AI in health care is essential because nurses possess an intimate understanding of the contextual nature of health care data. This understanding of the context of the data generation process can prevent inaccurate conclusions. For example, a group of researchers developed an AI algorithm to predict risk trajectories in patients with sepsis.4 The researchers concluded that the algorithm’s performance would be even better with earlier and more frequent measurements of laboratory values such as lactate. As clinical application and practice experts, nurse consultants would recognize that national societies recommend limiting routine laboratory studies to incidents with a specific clinical question Nurses in critical care settings are beginning to use artificial intelligence (AI) in several innovative ways to enhance patient care and streamline their workflows. Here are some key steps and applications: Patient Monitoring: AI-powered devices and systems can continuously monitor patients' vital signs and alert nurses to any abnormalities or changes in condition. This allows for early detection of potential issues and timely intervention1.

Clinical Decision Support: AI algorithms can analyze patient data and provide real-time recommendations to nurses, helping them make informed clinical decisions. This support can be particularly valuable in high-stress, fast-paced environments like the ICU.

Predictive Analytics: AI can predict patient outcomes and potential complications by analyzing large datasets. This helps nurses anticipate problems and take preventive measures.

Automated Documentation: AI can assist with documentation tasks, reducing the administrative burden on nurses and allowing them to focus more on direct patient care.

Training and Education: AI can provide personalized training programs for nurses, helping them stay updated with the latest medical knowledge and skills.

Remote Monitoring: AI-enabled devices can monitor patients' vital signs remotely, allowing nurses to keep an eye on patients even when they are not physically present at the bedside.

Fall Risk Prediction: AI can predict the likelihood of patient falls, enabling nurses to take preventive measures and ensure patient safety.

Scenario Simulation: AI can simulate various clinical scenarios, helping nurses practice and improve their decision-making skills.

By integrating AI into their practice, nurses in critical care can enhance patient monitoring, improve clinical decision-making, and streamline administrative tasks, ultimately leading to better patient outcomes and more efficient care deliver

Major concerns and using Artificial intelligence by Nursing professionals Nurses can and should advocate for accuracy, transparency, safety, and fairness during the AI creation and application process. Nurses will likely be among the first to recognize a problem if an algorithm begins to suffer in performance. Today, when AI technologies are being created and adopted in health care settings at a quick pace, nurses must be up to date and willing to challenge the foundation on which AI algorithms are developed. Through active participation in the creation and application of AI, nurses can help Mold the future of health care, safeguarding its fairness and safety in the process.

By actively engaging with AI, nurses can significantly contribute to the advancement of healthcare, ensuring that AI technologies are used safely and effectively to improve patient outcomes.

Resources and further learning - Artificial Intelligence and the Critical Care Nurse

Modern and Digital resources in AI @Copilot

Web based resources on AI in healthcare and nursing

Dr.T.V.Rao MD