Using AI to Enhance Family Communication in Intensive Care

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This study evaluates how artificial intelligence, specifically generative pre-trained transformers like GPT-4, can assist doctors in the intensive care unit (ICU) by improving communication with patients' families. The focus is on reducing the time doctors spend documenting family conversations by generating accurate and understandable summaries. By involving ICU doctors and adult family members of patients, the study aims to determine if AI can streamline documentation processes and enhance family understanding of medical information. Participation requires informed consent from both family members and healthcare professionals.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Informed-consent is signed by all participating family members during the conversation.
* Informed-consent is signed by the ICU healthcare professionals.
* The patient of the family must be admitted to the adult ICU.
* All participating family members must be 18 years or older.
* The family conversation must be in Dutch.

Exclusion Criteria:

* Trained to interpret medical jargon and/or intensive care terminology specifically
* Difficulty reading and/or writing in the Dutch language

Where it's running

• Erasmus University Medical Center
  Rotterdam, Netherlands Recruiting
• Erasmus University Medical Center
  Rotterdam, South Holland, Netherlands Not yet recruiting

Study contacts

• Principal investigator: Michel E. van Genderen, MD PhD — Intensive Care Adults, Erasmus University Medical Center, Rotterdam, the Netherlands
• Study coordinator: Davy van de Sande, PhD
• Email: d.sande@erasmusmc.nl
• Phone: 010 7035142

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

• Computed inspiratory muscle pressure to monitor inspiratory effort during pressure-targeted assist/control ventilation

  This study tests a noninvasive computed pressure method (cPmus) to see if it matches the traditional esophageal pressure method for measuring inspiratory effort in adults on pressure-targeted ventilation with spontaneous breathing.

  Recruiting Capital Medical University · Beijing · NCT07886918

• Noninvasive estimate of inspiratory effort to monitor pressure support ventilation

  This study tests whether a noninvasive computed inspiratory muscle pressure (cPmus) can match the traditional esophageal pressure method for adults on pressure support ventilation.

  Recruiting Capital Medical University · Beijing · NCT07886892

• Gut microbes and blood signals in sepsis-related liver and kidney injury

  This study tests whether gut microbes and blood markers differ in adults with sepsis who develop liver or kidney injury, compared with healthy volunteers.

  Recruiting at 6 sites First Affiliated Hospital of Zhejiang University · Hangzhou, Zhejiang and 5 other locations · NCT07735182

• Deciphering why some patients stay a long time in the ICU using detailed clinical profiling

  This study will try to identify clinical patterns in adults who stay in the ICU five days or longer to better understand persistent critical illness.

  Recruiting at 6 sites Lisbon Academic Medical Center - Centro Académico de Medicina de Lisboa · Lisbon, Lisbon District and 6 other locations · NCT07510776

• Delphi consensus to guide mechanical insufflation-exsufflation use in the ICU

  A panel of ICU and lung specialists will use a structured survey process to agree on best practices for using mechanical insufflation-exsufflation to help airway clearance in critically ill patients.

  Recruiting at 4 sites Medipol University · Naples and 3 other locations · NCT07420946

• What predicts death in the ICU? Analyzing APACHE II in Colombian patients

  This study tests how well the APACHE II score predicts ICU mortality in adults treated at a Colombian hospital.

  Recruiting Hospital Departamental de Villavicencio · Villavicencio, Meta Department · NCT07249749

How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.