An interventional study of Artificial Intelligence Tool in General Health Status, sponsored by Universidad Autonoma de Madrid. Recruiting at 2 sites in Spain. Open to participants aged 18 Years to 80 Years. Per ClinicalTrials.gov, last updated 2026-02-27.
Sponsored by Universidad Autonoma de Madrid · Not applicable, Interventional, and Health services research
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 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.
877 studies on the registry are indexed under Patient Satisfaction; 202 are open to participants now.
This study's planned enrollment of 148 is above the median of 96 across 624 interventional studies indexed under Patient Satisfaction.
Browse Patient Satisfaction studies →Universidad Autonoma de Madrid is the lead sponsor of 51 studies on the registry; 7 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.
Exclusion Criteria:
Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.
You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.
Informed consent
Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.
You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
The health centers assigned to this group will implement an artificial intelligence (AI) tool for clinical registration during outpatient consultations. Healthcare professionals will activate the tool at the beginning of the consultation and deactivate it at the end. The tool will be used to document interactions in real time, generating more detailed records and reducing the administrative burden.
Device: Artificial Intelligence Tool
In the centers assigned to this group, consultations will be carried out in the usual way, using traditional clinical recording methods, without additional technological intervention. This group will serve as a reference to compare differences in satisfaction, duration of consultations and quality of the clinical record.
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.
Satisfaction with the consultation
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.
Duration of the consultation
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.
Number of clinical data recorded
Total number of words documented in the clinical history generated during the consultation, excluding headings
Time frame: From enrrolment to the end of the consultation the same day.
Patient Experience (Patient Expectation Questionnaire - PEQ)
Assessment of selected domains of the Patient Expectation Questionnaire (Health Service Process and Professional-Patient Communication). Format: 5-point Likert scale.
Time frame: at the begining and at the end of the consultation
Likelihood of recommendation (Net Promoter Score - NPS)
Patient's assessment of the likelihood of recommending the service received. Range: 0 (very unlikely) to 10 (very likely).
Time frame: From enrrolment to the end of the consultation the same day.
Sociodemographic variables
Age (years)
Time frame: at the begining of the consultation, Just after enrrollment.
Sociodemographic variables
Sex (Male/Female)
Time frame: at the begining of the consultation, Just after enrrollment.
Sociodemographic variables
Nationality (Spanish/Other).
Time frame: at the begining of the consultation, Just after enrrollment.
Sociodemographic variables
Municipality of residence (Rural/Non-rural).
Time frame: at the begining of the consultation, Just after enrrollment.
Sociodemographic variables
Marital status (Single, Married, Divorced, Widowed).
Time frame: at the begining of the consultation, Just after enrrollment.
Sociodemographic variables
Employment status (Active/Not active/Pensioner/Employed/Other).
Time frame: at the begining of the consultation, Just after enrrollment.
Sociodemographic variables
Educational level (None, Primary, Secondary, Vocational training, University, Doctorate).
Time frame: at the begining of the consultation, Just after enrrollment.
Plan to share: No — The study data will not be shared to ensure the confidentiality and privacy of the participants, in accordance with current regulations such as the General Data Protection Regulation (GDPR). In addition, sensitive health-related data are handled, the disclosure of which could compromise the privacy of individuals. Although the data will be anonymized, the team has decided to limit its access to authorized personnel only in order to protect the integrity of the study and minimize ethical or legal risks associated with the distribution of personal information.
Ran from Dec 2024 to primary completion in Jun 2025, 6 months.
Of 368 non-industry interventional studies with no phase under Patient Satisfaction, half reached primary completion within 12 months of starting (the median), counting those still running; a quarter within 6 and three quarters within 23. This study's 6 months is below that.
Counting every sponsor, half of 370 studies reached it within 12 months; a quarter within 6 and three quarters within 23.
How these figures are worked out, and which studies are left out of them.
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Universidad Autonoma de Madrid