RecruitingNot ApplicableNCT06726447

Artificial Intelligence Satisfaction in Professionals and Patients

sAItisfACES - Impact of an Artificial Intelligence Tool on the Satisfaction of Professionals and Patients in Ambulatory Consultations: A Randomized Cluster Study


Sponsor

Universidad Autonoma de Madrid

Enrollment

148 participants

Start Date

Dec 1, 2024

Study Type

INTERVENTIONAL

Conditions

Summary

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.


Eligibility

Min Age: 18 YearsMax Age: 80 Years

Inclusion Criteria3

  • 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 Criteria5

  • 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.

Interested in this trial?

Get notified about updates and connect with the research team.

Interventions

DEVICEArtificial Intelligence Tool

The intervention in this study consists of the implementation of an artificial intelligence tool for clinical registration during outpatient consultations. This technology facilitates the documentation of interactions in real time, optimizing the workflow of professionals and enabling more patient-centered care.


Locations(2)

ACES Centers

Barcelona, Catalonia, Spain

CSEU La Salle - UAM

Madrid, Madrid, Spain

View Full Details on ClinicalTrials.gov

For the most up-to-date information, visit the official listing.

Visit

NCT06726447