Evaluating an AI tool's impact on patient and healthcare professional satisfaction
Official title: sAItisfACES - Impact of an Artificial Intelligence Tool on the Satisfaction of Professionals and Patients in Ambulatory Consultations: A Randomized Cluster Study
Run by Universidad Autonoma de Madrid · NCT06726447 · Data updated 2026-11-12
This study is testing whether using an AI tool during doctor visits makes patients and healthcare professionals happier compared to regular care.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years to 80 Years |
| Sex | All |
| Enrollment | 148 (estimated) |
| Sponsor | Universidad Autonoma de Madrid Academic / other |
| Locations | 2 sites (Barcelona, Catalonia and 1 other locations) |
| Status | Recruiting |
| Started | December 1, 2024 |
| Main results expected | June 30, 2025 |
| Study ends | December 1, 2026 |
| Registry record updated | February 27, 2026 |
| Trial ID | NCT06726447 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adult patients aged 18 to 80 who are consulting for any health reason in participating outpatient clinics.
✕Probably not a fit
Patients who cannot understand or complete the questionnaires due to language barriers or cognitive disabilities may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This multicenter cluster-randomized study assesses how an artificial intelligence (AI) tool affects the satisfaction of healthcare professionals and patients during outpatient consultations. It compares the experiences of adult patients using the AI tool with those receiving standard care, measuring satisfaction through visual analog scales and validated questionnaires. The study also examines the duration of consultations and the quality of clinical data recorded. Recruitment will occur from December 2024 to May 2025, with results expected by the end of 2025.
Why it matters
Potential benefit: If successful, this study could enhance patient and healthcare professional satisfaction while improving the efficiency of clinical data recording.
How similar studies have gone: Other studies have shown promising results with AI tools in healthcare settings, indicating potential for success in this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients between 18 and 80 years of age. * Patients consulting for any health reason in the outpatient clinics of the centers participating in the study. * Patients who sign the informed consent to participate in the study. Exclusion Criteria: * Patients who are unable to understand or complete the questionnaires, due to: * Language barriers. * Cognitive disabilities. * Any other reason that prevents their adequate participation. * Patients who are currently participating in other clinical trials or research studies that may interfere with the results of this study.
Where it's running
-
ACES Centers
Barcelona, Catalonia, Spain Recruiting -
CSEU La Salle - UAM
Madrid, Madrid, Spain Not yet recruiting
Study contacts
- Principal investigator: Raul Ferrer, PhD — Senior Lecturer and Investigator
- Study coordinator: Raúl Ferrer-Peña, PhD
- Email: raul.ferrer@salud.madrid.org
- Phone: +34607712148
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.