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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.
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| Measure | Description | Time Frame |
|---|---|---|
| Documentation quality of family conversations | The primary outcome measure is the documentation quality of family conversations, evaluated using a modified Physician Documentation Quality Instrument-9. Originally validated for progress notes and discharge summaries, Physician Documentation Quality Instrument-9 scores notes on nine attributes (accurate, thorough, useful, organized, comprehensible, succinct, synthesized, consistent, up-to-date) using a 1-5 scale (1 = "not at all," 5 = "extremely"), for a total ranging from 9 to 45. To adapt it for AI-generated text, the investigators removed the "up-to-date" domain (focused on whether the note includes the latest test results/recommendations) and added two new attributes: freedom from hallucinations (unfounded information) and freedom from bias (discriminatory data, algorithms, or heuristics). These additions address potential pitfalls in large language model outputs, such as introducing incorrect content or skewed results. | Within 30 days after the family conversation. |
| Measure | Description | Time Frame |
|---|---|---|
| Time spent on documentation by ICU clinicians | The time clinicians spend on post-conversation documentation will be measured for both traditional and ambient listening methods. This outcome aims to quantify the efficiency of the ambient listening technology in reducing administrative burden. | Within one day after the family conversation. |
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Inclusion Criteria:
Exclusion Criteria:
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Intensive care professionals performing formal family conversations and family members of patients admitted to the adult intensive care.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Davy van de Sande, PhD | Contact | 010 7035142 | +31 | d.sande@erasmusmc.nl |
| Michel E. van Genderen, MD PhD | Contact | 010 7035142 | +31 | m.vangenderen@erasmusmc.nl |
| Name | Affiliation | Role |
|---|---|---|
| Diederik Gommers, MD PhD | Intensive Care Adults, Erasmus University Medical Center, Rotterdam, the Netherlands | Study Director |
| Michel E. van Genderen, MD PhD | Intensive Care Adults, Erasmus University Medical Center, Rotterdam, the Netherlands |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Erasmus University Medical Center | Not yet recruiting | Rotterdam | South Holland | 3015GD | Netherlands |
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| ID | Term |
|---|---|
| D017060 | Patient Satisfaction |
| ID | Term |
|---|---|
| D000074822 | Treatment Adherence and Compliance |
| D015438 | Health Behavior |
| D001519 | Behavior |
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| Family satisfaction |
Family members' feedback on their satisfaction with the intensive care unit (ICU) communication process. Satisfaction will be measured using a structured questionnaire administered after reviewing a simplified ambient-generated note. The survey includes 16 questions: 5 about demographics (age, education, occupation, and reading skills); 3 adapted from the validated Family Satisfaction with the ICU-24 survey (score range: 1-5, higher scores indicate greater satisfaction) to assess clarity, completeness, and overall satisfaction; and 10 evaluating the summary's readability and utility at a B1 language proficiency level. |
| Within 30 days after the family conversation. |
| Erasmus University Medical Center | Recruiting | Rotterdam | 3015GD | Netherlands |
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