AI-based Informational Assistant for Automated Point-of-care Documentation and Protocol Retrieval

Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
AgeNot listed
SponsorWillemijn Berkhout

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

No trial groups listed

Locations

This trial has no locations

Sponsors and collaborators

Willemijn Berkhout

Lead sponsor

Erasmus Medical Center

Sponsor institution