Understanding Artificial Intellegence

Artificial intelligence can analyze the patient records or input data to alert the provider to potential issues like drug interactions or deteriorating conditions. Artificial intelligence is streamlining the documentation process by suggesting entries, automating routine tasks, and even predicting patient needs based on historical input data such as the MEWS and fall scores.

It is a part of the clinical decision support systems (CDSS) that assists providers by offering evidence-based recommendations for patient care.

Still, we have fears and bias about the uses of artificial intelligence in healthcare. To alleviate our concerns, as with everything new, we need to develop a better understanding of artificial intelligence.

Artificial Intelligence Presentation

Objectives

Objective 1:

Understand the fundamentals of AI and its applications in healthcare, with a focus on the technology directly implemented into healthcare workflows.

Objective 2:

Develop a comprehensive understanding of the ethical and legal considerations surrounding AI in healthcare, including patient privacy, data security, and bias mitigation strategies.

Objective 3:

Explore specific use cases of AI in nursing practice, such as early warning systems and patient education, to identify opportunities for improving patient outcomes and enhancing nursing efficiency.

KBN Approval.  This offering for contact hours is provided by the Kentucky Nurses Association (KNA). Kentucky Nurses Association (KNA) is an approved provider of continuing nursing education by the Kentucky Board of Nursing (KBN). KBN Provider Number: 1-0001.  KBN CE Providership Approval through December 31, 2025.  KBN approval of an individual continuing nursing education provider does not constitute endorsement of program/offering content. 50 minutes = 1.0 KBN Contact Hour.

Originally offered on February 11, 2025 . Please be aware any interactive elements of the presentation were only applicable during the live viewing.