Artificial Intelligence Satisfaction in Professionals and Patients
ConditionGeneral Health Status
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18-80
SponsorUniversidad Autonoma de Madrid
About this trial
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 criteria
This trial does not accept healthy volunteersQualifiers
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.
Disqualifiers
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.
Trial design
Design model
Parallel
Treatments tested in this trial
Artificial Intelligence Tool
DeviceThe 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.
Treatment groups
148 Participants
are divided into 2 treatment groupsGroup A: Artificial Intelligence ToolExperimental treatment 1 intervention
Group B: Standard of careNo intervention 0 interventions
Trial outcomes
Primary outcomes
1
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.Secondary outcomes
1
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.2
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.3
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 consultation4
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.Other outcomes
1
Sociodemographic variables
Age (years)
Time frame
at the begining of the consultation, Just after enrrollment.2
Sociodemographic variables
Sex (Male/Female)
Time frame
at the begining of the consultation, Just after enrrollment.3
Sociodemographic variables
Nationality (Spanish/Other).
Time frame
at the begining of the consultation, Just after enrrollment.4
Sociodemographic variables
Municipality of residence (Rural/Non-rural).
Time frame
at the begining of the consultation, Just after enrrollment.Sponsors and contacts
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Source ClinicalTrials.gov