General Health StatussAItisfACESNCT06726447
Artificial Intelligence Satisfaction in Professionals and Patients
A study testing Artificial Intelligence Tool in people with General Health Status, run by Universidad Autonoma de Madrid at 2 sites in Spain.
Trial 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… Read more about this study
- Who is it for?
- Ages 18 to 80 years
- Conditions the study is for
- General Health Status
- What is being tested?
- Artificial Intelligence Tool
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 148 participants
- Where
- 2 sitesSpain
- Study dates
- 1 Dec 2024to 1 Dec 2026
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 80 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- 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.
Who cannot join
- 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.
Trial locations and contacts
2 sites in 1 country. Contact the study team or a site near you to ask about taking part.
Spain2 sites, 2 recruiting
- Recruiting
ACES Centers
Barcelona, Catalonia, 28500
Raúl Ferrer Peña, 607712148, drraulferrer@gmail.com
- Not yet recruiting
CSEU La Salle - UAM
Madrid, Madrid, 28018
Raúl Ferrer-Peña, PhD, +34607712148, raul.ferrer@lasallecampus.es
About this study
Official title: sAItisfACES - Impact of an Artificial Intelligence Tool on the Satisfaction of Professionals and Patients in Ambulatory Consultations: A Randomized Cluster 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.
Read the detailed description
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.
- Conditions
- General Health Status
- Being tested
- Artificial Intelligence Tool
- Keywords
- Artificial Intelligence, Patient Satisfaction, Medical Records Systems, Computerized, Health Care Quality, Access, and Evaluation
- Medical subject headings
- Patient Satisfaction
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Artificial Intelligence ToolDevice
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.
| Study group | Role | What they receive |
|---|---|---|
| Artificial Intelligence Tool | Experimental | 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. Receives: Device: Artificial Intelligence Tool |
| Standard of care | No intervention | 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. |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: From enrrolment to the end of the consultation the same day.
Secondary outcomes (4)
Duration of the consultation
Total time of the consultation, measured manually from the time of entry to the time of departure of the patient.
Measured: 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
Measured: 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.
Measured: 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).
Measured: From enrrolment to the end of the consultation the same day.
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted10 Dec 2024
- Study start1 Dec 2024
- Primary completion30 Jun 2025
- Study completion1 Dec 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for General Health StatusStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- Clusters
- Masking
- Triple blind
- Who is masked
- Participant, Investigator, Outcomes assessor
- Enrolment
- 148 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Universidad Autonoma de Madrid
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Raúl Ferrer-Peña, Universidad Autonoma de Madrid
- Investigators
- Raul Ferrer, PhD, Principal investigator, Senior Lecturer and Investigator
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06726447
- Sponsor's protocol ID
- sAItisfACES - IA satisfaction
- Acronym
- sAItisfACES
- Status last verified
- Feb 2026
- First submitted
- 26 Nov 2024
- Last updated
- 27 Feb 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- 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.
Publications
Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019 Jan;25(1):44-56. doi: 10.1038/s41591-018-0300-7. Epub 2019 Jan 7.
PubMed 30617339
Study at a glance
From the registry record, last updated by the sponsor on 27 Feb 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- sAItisfACES - Impact of an Artificial Intelligence Tool on the Satisfaction of Professionals and Patients in Ambulatory Consultations: A Randomized Cluster Study
- ClinicalTrials.gov ID
- NCT06726447
- Acronym / sponsor ID
- sAItisfACES / sAItisfACES - IA satisfaction
- Conditions
- General Health Status
- Keywords
- Artificial Intelligence, Patient Satisfaction, Medical Records Systems, Computerized, Health Care Quality, Access, and Evaluation
- Study type
- Interventional
- Recruitment status
- Recruiting
- Enrolment
- 148 participants (estimated)
- Lead sponsor
- Universidad Autonoma de MadridUniversity, hospital or other
- Study start
- 1 Dec 2024 (actual)
- Primary completion
- 30 Jun 2025 (actual)
- Study completion
- 1 Dec 2026 (estimated)
- First posted
- 10 Dec 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
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.
Study design
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Triple blind (participant, investigator, outcomes assessor)
- Number of arms
- 2
- Model description
- Clusters
| Arm | Type | Receives |
|---|---|---|
| Artificial Intelligence Tool | Experimental | Device: Artificial Intelligence ToolThe 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. |
| Standard of care | No intervention | –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. |
Who may qualify
- Ages
- 18 to 80 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (3 listed)
- 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.
Key exclusion criteria (5 listed)
- 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.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Artificial Intelligence ToolThe 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. | Device | Artificial Intelligence Tool |
Primary outcome
Satisfaction with the consultation
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.
4 secondary outcomes
Duration of the consultation
Time frame: From enrrolment to the end of the consultation the same day.
Number of clinical data recorded
Time frame: From enrrolment to the end of the consultation the same day.
Patient Experience (Patient Expectation Questionnaire - PEQ)
Time frame: at the begining and at the end of the consultation
Likelihood of recommendation (Net Promoter Score - NPS)
Time frame: From enrrolment to the end of the consultation the same day.
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 27 Feb 2026.
- Background: PubMed 30617339Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019 Jan;25(1):44-56. doi: 10.1038/s41591-018-0300-7. Epub 2019 Jan 7.
- Individual participant dataSharing planned: 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.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Raul Ferrer, PhD principal investigator
Senior Lecturer and Investigator
2 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Artificial Intelligence Tool in people with General Health Status, run by Universidad Autonoma de Madrid at 2 sites in Spain.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 27 Feb 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 2 sites in Spain. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Raúl Ferrer-Peña, PhD (+34607712148, raul.ferrer@salud.madrid.org), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Satisfaction with the consultation (time frame: From enrrolment to the end of the consultation the same day.). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT06726447, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 27 Feb 2026.