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

Willemijn Berkhout

Status: Begins enrollment in 1 month

Conditions: Artificial Intelligence; Usability

Study type: Observational

Funder types: Other

Identifiers

NCT07493616

15243

Details and patient eligibility

About

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.

Enrollment: 25 estimated patients

Sex: All

Volunteers: No Healthy Volunteers

Inclusion criteria

• ICU physician (nurse practicioner, resident, or staff intensivist) at the Erasmus MC.
• Signed informed-consent for study participation.

Exclusion criteria

- Physicians not expected to work on the ICU during the study period will not be approached.