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

NCT07493616 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 25

Last updated 2026-03-25

No results posted yet for this study

Summary

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.

Conditions

  • Artificial Intelligence
  • Usability

Sponsors & Collaborators

  • Willemijn Berkhout

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-07-01
Primary Completion
2026-10-01
Completion
2026-12-01

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07493616 on ClinicalTrials.gov