← Eichor
Study identifier: NCT06726447 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

Artificial Intelligence Satisfaction in Professionals and Patients

Condition: General Health Status  ·  Sponsor: Universidad Autonoma de Madrid

PhaseNA
Planned participants148
Who can joinAll sexes, 18 Years to 80 Years
Healthy volunteersNo

About this study

This multicenter cluster-randomized study evaluates the impact of an artificial intelligence (AI) tool on the satisfaction of healthcare professionals and patients in outpatient consultations, measuring its effect on perceived satisfaction (through a visual analog scale), the duration of consultations, and the quality and quantity of clinical data recorded. Adult patients (18-80 years) seen in outpatient centers will participate, comparing those using the AI tool with centers following the usual procedure. The tool is expected to reduce the administrative burden, improve user satisfaction and increase the efficiency and quality of the clinical registry. Recruitment will take place between December 2024 and May 2025, with final analysis planned for the end of 2025.

This description comes directly from the study's public registry record.

Talk to the study team

Raúl Ferrer-Peña, PhD  ·  +34607712148  ·  raul.ferrer@salud.madrid.org

Always discuss trial participation with your own doctor first.

Locations (2)

ACES CentersBarcelona, Catalonia, SpainRecruiting
CSEU La Salle - UAMMadrid, Madrid, SpainNot Yet Recruiting

Follow this study

Get one email when the public record changes — results posted, or the study's status changes. Nothing else, ever.

We email about this public record only. Unsubscribe anytime with one click. Never medical advice.

Is this your study? This page was generated automatically from the public registry record. Sponsors can claim it — free — to add branding and verified contact routing. Claim this page →

This page is independently generated by Eichor from the public ClinicalTrials.gov record and re-synced daily. It is not the sponsor's official website unless claimed. Nothing here is medical advice; eligibility is always determined by the study team — talk to your own doctor first.

Source record: clinicaltrials.gov/study/NCT06726447