About this trial
Clinical rounds in the intensive care unit (ICU) involve substantial manual documentation. Retrieving the correct protocol text and structuring notes at the bedside is time-consuming and may contribute to variation in documentation quality. Modern artificial intelligence (AI) can help structure existing information and automate protocol look-ups within a restricted, manually selected document set.
The tool evaluated in this study acts as an AI-based informational assistant for clinicians. It (1) pre-populates a standardized physical-exam and daily-rounds format, (2) prepares a concise ICU course/overview using predefined formatting, and (3) retrieves relevant passages from protocols to enable rapid consistency checks by the clinician.
The AI-based informational assistant does not provide treatment recommendations or patient-specific advice; all outputs require clinician verification and clinical responsibility remains with the physician.
Eligibility criteria
Qualifiers
ICU physician (nurse practicioner, resident, or staff intensivist) at the Erasmus MC.
Signed informed-consent for study participation.
Disqualifiers
None
Trial design
Treatments tested in this trial
- Not listed
Trial groups
Locations
Sponsors and collaborators
Willemijn Berkhout
Lead sponsor
Erasmus Medical Center
Sponsor institution