Clinician Perspectives on Ambient AI Scribes in the Intensive Care Unit: Qualitative Interview Study
By
Laleh Jalilian
Navid Manafi
Matthew Scott Vandiver
Paul Lukac
Achuta Kadambi
July 2, 2026
Clinical Scorecard: Healthcare Professionals' Insights on the Use of Ambient AI Scribes in the ICU: A Qualitative Interview Analysis
At a Glance
Category Detail
Condition Ambient AI Scribes in ICU Key Mechanisms Voice-enabled AI systems that passively listen to clinical conversations and generate draft notes. Target Population ICU clinicians across multiple roles. Care Setting Intensive Care Unit (ICU)
Key Highlights
Documentation of team discussions in the ICU is often suboptimal. Ambient AI scribes may enhance structured provider-to-provider communication. Concerns exist regarding the ethical implications and accuracy of AI-generated notes. The study involved semistructured interviews with ICU clinicians to gather insights. Implementation of AI scribes in ICU settings poses unique challenges. Guideline-Based Recommendations
Diagnosis
Management
Monitoring & Follow-up
Risks
Potential for AI systems to hallucinate and generate errors in noisy, multispeaker environments. Ethical and operational considerations regarding passive capture of conversations. Patient & Prescribing Data
Patients in the Intensive Care Unit (ICU).
AI scribes may improve documentation quality and reduce clinician workload.
Clinical Best Practices
Implement human-in-the-loop review for AI-generated documentation. Utilize structured templates to enhance documentation clarity. Conduct thorough training for clinicians on the use of AI scribes. Related Resources & Content
