NCT Number: NCT06726447
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.
Interested in participating?
Request Info18 year–80 year
All sexes
Interventional
Not applicable
ACES Centers, Barcelona, Catalonia, Spain
This multicenter cluster-randomized study aims to evaluate the impact of an artificial intelligence (AI) tool designed to optimize real-time clinical registration during outpatient consultations. Its effect on patient and healthcare professional satisfaction will be analyzed, measured using a visual analog scale (VAS) and validated tools such as the Patient Experience Questionnaire (PEQ) and the Net Promoter Score (NPS). In addition, the duration of consultations and the quantity and quality of clinical data recorded in the intervention and control groups will be compared. The intervention group will use the AI tool, while the control group will continue with the usual recording without AI. Participants will be adult patients (18-80 years) seen in health centers linked to the study, recruited by prior informed consent. AI is expected to reduce the administrative burden on professionals, allowing them to devote more time to direct care, improving both the quality of the clinical record and the patient experience. Recruitment will take place between December 2024 and May 2025, and will follow the ethical guidelines set out in the Declaration of Helsinki. This project seeks to provide evidence on the implementation of AI-based technologies in the outpatient setting and their impact on the quality of healthcare.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
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.
Time frame: From enrrolment to the end of the consultation the same day.
measured using a 10 cm Visual Analog Scale (VAS) of satisfaction, which assesses the degree of satisfaction perceived by patients and health professionals. From no satisfaction in the left side to Completely satisfied in the right side.
Time frame: From enrrolment to the end of the consultation the same day.
Total time of the consultation, measured manually from the time of entry to the time of departure of the patient.
Time frame: From enrrolment to the end of the consultation the same day.
Total number of words documented in the clinical history generated during the consultation, excluding headings
Time frame: at the begining and at the end of the consultation
Assessment of selected domains of the Patient Expectation Questionnaire (Health Service Process and Professional-Patient Communication). Format: 5-point Likert scale.
Time frame: From enrrolment to the end of the consultation the same day.
Patient's assessment of the likelihood of recommending the service received. Range: 0 (very unlikely) to 10 (very likely).
Time frame: at the begining of the consultation, Just after enrrollment.
Age (years)
Time frame: at the begining of the consultation, Just after enrrollment.
Sex (Male/Female)
Time frame: at the begining of the consultation, Just after enrrollment.
Nationality (Spanish/Other).
Time frame: at the begining of the consultation, Just after enrrollment.
Municipality of residence (Rural/Non-rural).
Time frame: at the begining of the consultation, Just after enrrollment.
Marital status (Single, Married, Divorced, Widowed).
Time frame: at the begining of the consultation, Just after enrrollment.
Employment status (Active/Not active/Pensioner/Employed/Other).
Time frame: at the begining of the consultation, Just after enrrollment.
Educational level (None, Primary, Secondary, Vocational training, University, Doctorate).
Contact information is provided by the study sponsor or research team.
Universidad Autonoma de Madrid
Other
sAItisfACES - Impact of an Artificial Intelligence Tool on the Satisfaction of Professionals and Patients in Ambulatory Consultations: A Randomized Cluster Study
Acronym: sAItisfACES
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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