Invisible Scribes: Can Nurses Trust Ambient AI for Clinical Documentation?

Area of Science:

• Healthcare Technology
• Nursing Informatics
• Artificial Intelligence in Medicine

Background:

• Ambient artificial intelligence (AI) listening tools offer potential benefits for nursing documentation and patient engagement.
• However, excluding nurses from the design and oversight of these AI tools introduces significant risks, including hallucinations, omissions, and bias.

Purpose of the Study:

• To highlight the critical need for nurse involvement in the development and deployment of ambient AI listening tools.
• To emphasize the risks associated with AI implementation without adequate nursing expertise.

Main Methods:

• This study is a conceptual analysis and synthesis of current trends in AI healthcare technology.
• It reviews potential impacts of AI listening tools on nursing workflows and patient care.

Main Results:

• Exclusion of nurses from AI design and oversight processes leads to increased risks of AI errors like hallucinations and bias.
• Nurse exclusion can compromise the safety and equity of AI tool integration in clinical settings.

Conclusions:

• Empowering nurses through continuing education is essential for their leadership in AI model development, deployment, and auditing.
• Active nurse participation is crucial for ensuring the safe, equitable, and effective integration of AI listening tools in healthcare.
• Prioritizing nurse involvement mitigates risks and maximizes the benefits of AI in nursing practice.