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Evaluating the Use of Artificial Intelligence to Improve Family Conversations for Intensive Care Patients and Their Families

D

Davy van de Sande

Status

Enrolling

Conditions

Critical Care
Intensive Care Medicine

Study type

Observational

Funder types

Other

Identifiers

NCT06756542
MEC-2024-0733

Details and patient eligibility

About

This study looks at how artificial intelligence (AI), like generative pre-trained transformer (GPT-4), can help doctors in the intensive care unit (ICU) save time and improve communication with families. Right now, doctors spend a lot of time writing notes after family conversations, which takes time away from patient care. The investigators are testing whether AI can create accurate and easy-to-understand summaries of these conversations, making it quicker for doctors to document and clearer for families to understand. ICU doctors and adult family members of patients will take part in this study, with their full consent. The goal is to see if this new technology can make life easier for doctors while helping families better understand medical information.

Enrollment

40 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

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

Trial contacts and locations

2

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Central trial contact

Michel E. van Genderen, MD PhD; Davy van de Sande, PhD

Data sourced from clinicaltrials.gov

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