Symptom TrackingAI-CLINICNCT07883304
AI-CLINIC: A Prospective Multisite Feasibility and Safety Study of AI-Assisted Pre-Consultation History-Taking in Outpatient Cardiology
An observational study of Symptom Tracking and Cardiology, run by London Health Sciences Centre Research Institute OR Lawson Research Institute of St. Joseph's.
Trial summary
An accurate medical diagnosis depends on the doctor getting a complete picture of the patient's health story, but clinic visits are short. Before some cardiology appointments, patients may be able to speak with an artificial intelligence (AI) "interviewer" - through a secure web page, usually at home - about their… Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Symptom Tracking, Cardiology, Medical History Taking
- What is being tested?
- AI Interview
- How many people
- 60 participants
- Where
- No sites listed yet
- Study dates
- 1 Oct 2026to 1 Jan 2028
- How long will I take part?
- 1 Day
- Phase
- Observational
- 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 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Participants coming into LHSC for first cardiology consultation.
Who may be able to join
- Age 18 years or older.
- Scheduled for a first or new in-person outpatient cardiology consultation at a participating site.
- Able to provide free and informed consent.
- Able to understand the approved English Letter of Information and consent discussion; the interview and study questionnaires are conducted in English. Additional languages may be added through a future amendment with translated, Board-approved materials.
- Able to interact with the interviewer using a personal device or a clinic-provided iPad, with reasonable technical assistance if required.
Who cannot join
- Unable to provide informed consent.
- Urgent or medically unstable presentation for which pre-consultation research procedures would be inappropriate or could delay care.
- Severe cognitive, hearing, speech, or other communication limitation preventing meaningful voice interaction despite reasonable assistance.
- Appointment cancelled, converted to a virtual/telephone visit, or otherwise no longer eligible before the intervention opportunity.
- Previous participation in AI-CLINIC.
About this study
An accurate medical diagnosis depends on the doctor getting a complete picture of the patient's health story, but clinic visits are short. Before some cardiology appointments, patients may be able to speak with an artificial intelligence (AI) "interviewer" - through a secure web page, usually at home - about their symptoms, medications, allergies, medical history, and what they want their doctor to understand. The AI interviewer creates a written summary for the cardiologist. It does not make diagnoses, give treatment advice, or replace the doctor: the cardiologist still takes and verifies the medical history in the usual way, and nothing written by the AI goes into the medical record without the doctor's review. In this study, 60 adults attending a first or new cardiology consultation at London Health Sciences Centre University Hospital or the London Cardiac Institute will be invited to use the AI interviewer before their appointment. Patients who prefer not to take part receive usual care. We will measure how many participants complete the interview and have a summary ready before their visit, how long the interview and the visit take, whether patients find the interviewer easy to use and feel able to explain their concerns, whether cardiologists find the summaries useful and accurate, and whether any important errors or omissions occur. Every summary is checked by the treating cardiologist, and independent physicians review all concerning cases plus a random sample. Results will show whether this workflow is feasible and safe enough to justify a larger study.
- Conditions
- Symptom Tracking, Cardiology, Medical History Taking
- Being tested
- AI Interview
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI InterviewOther
Participants will complete an AI Interview prior to cardiology consultation used for history taking, symptom reporting and medication records prior to meeting with the physician.
What is being measured
The primary outcome is the main question the study is designed to answer.
Usability
Successful completion is defined as completion of the AI interview with a readable, clinically reviewable summary generated and accessible to the treating clinician before the clinician begins the consultation. A summary is usable if not blank, corrupted, or rendered unusable by technical failure; it need not be clinically perfect. Completion may occur at home or through rescue; availability is defined independently of whether the clinician opened the summary (the attestation captures actual use). The primary analysis includes all consented participants whose eligible in-person appointment proceeds and who have an opportunity to receive the study intervention. Failure to receive, initiate, or complete the interview - including technical failure or participant refusal after consent - is counted as unsuccessful completion.
Measured: Baseline
Secondary outcomes (2)
1) Patient engagement with the chatbot
Measured by the Conversation-Turns Per Session, a validated metric defined as the total number of alternating input-output pairs during the interaction and used as a proxy for depth and fluidity of patient-chatbot interaction [11]. For context, CPS values typically range from 1-3 in digital assistants (such as Siri), around 9 in human dialogue, and ≥23 in advanced social chatbots such as Microsoft's Xiaolce [25].
Measured: Baseline
Objective durations
Interview duration (platform); physician-encounter duration (room-entry to room-exit, where recorded); scheduled slot length as context; summarized overall and by setting.
Measured: Baseline
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted20 Oct 2026
- Study start1 Oct 2026 (estimated)
- Primary completion1 Oct 2027 (estimated)
- Study completion1 Jan 2028 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Symptom TrackingStudies 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
- Observational
- Observational model
- Case only
- Time perspective
- Prospective
- Enrolment
- 60 participants (estimated)
- Target duration
- 1 Day
Sponsor and investigators
- Lead sponsor
- London Health Sciences Centre Research Institute OR Lawson Research Institute of St. Joseph's
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Pavel Antiperovitch, London Health Sciences Centre Research Institute OR Lawson Research Institute of St. Joseph's
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07883304
- Sponsor's protocol ID
- 128460
- Acronym
- AI-CLINIC
- Status last verified
- Oct 2026
- First submitted
- 18 Sep 2026
- Last updated
- 20 Oct 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 20 Oct 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- AI-CLINIC: A Prospective Multisite Feasibility and Safety Study of AI-Assisted Pre-Consultation History-Taking in Outpatient Cardiology
- ClinicalTrials.gov ID
- NCT07883304
- Acronym / sponsor ID
- AI-CLINIC / 128460
- Conditions
- Symptom Tracking, Cardiology, Medical History Taking
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 60 participants (estimated)
- Lead sponsor
- London Health Sciences Centre Research Institute OR Lawson Research Institute of St. Joseph'sUniversity, hospital or other
- Study start
- 1 Oct 2026 (estimated)
- Primary completion
- 1 Oct 2027 (estimated)
- Study completion
- 1 Jan 2028 (estimated)
- First posted
- 20 Oct 2026 (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.
An accurate medical diagnosis depends on the doctor getting a complete picture of the patient's health story, but clinic visits are short. Before some cardiology appointments, patients may be able to speak with an artificial intelligence (AI) "interviewer" - through a secure web page, usually at home - about their symptoms, medications, allergies, medical history, and what they want their doctor to understand. The AI interviewer creates a written summary for the cardiologist. It does not make diagnoses, give treatment advice, or replace the doctor: the cardiologist still takes and verifies the medical history in the usual way, and nothing written by the AI goes into the medical record without the doctor's review. In this study, 60 adults attending a first or new cardiology consultation at London Health Sciences Centre University Hospital or the London Cardiac Institute will be invited to use the AI interviewer before their appointment. Patients who prefer not to take part receive usual care. We will measure how many participants complete the interview and have a summary ready before their visit, how long the interview and the visit take, whether patients find the interviewer easy to use and feel able to explain their concerns, whether cardiologists find the summaries useful and accurate, and whether any important errors or omissions occur. Every summary is checked by the treating cardiologist, and independent physicians review all concerning cases plus a random sample. Results will show whether this workflow is feasible and safe enough to justify a larger study.
Study design
- Observational model
- Case only
- Time perspective
- Prospective
- Target follow-up
- 1 Day
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Participants coming into LHSC for first cardiology consultation.
Key inclusion criteria (5 listed)
- Age 18 years or older.
- Scheduled for a first or new in-person outpatient cardiology consultation at a participating site.
- Able to provide free and informed consent.
- Able to understand the approved English Letter of Information and consent discussion; the interview and study questionnaires are conducted in English. Additional languages may be added through a future amendment with translated, Board-approved materials.
- Able to interact with the interviewer using a personal device or a clinic-provided iPad, with reasonable technical assistance if required.
Key exclusion criteria (5 listed)
- Unable to provide informed consent.
- Urgent or medically unstable presentation for which pre-consultation research procedures would be inappropriate or could delay care.
- Severe cognitive, hearing, speech, or other communication limitation preventing meaningful voice interaction despite reasonable assistance.
- Appointment cancelled, converted to a virtual/telephone visit, or otherwise no longer eligible before the intervention opportunity.
- Previous participation in AI-CLINIC.
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 |
|---|---|---|
| AI InterviewParticipants will complete an AI Interview prior to cardiology consultation used for history taking, symptom reporting and medication records prior to meeting with the physician. | Other | – |
Primary outcome
Usability
Time frame: Baseline
Successful completion is defined as completion of the AI interview with a readable, clinically reviewable summary generated and accessible to the treating clinician before the clinician begins the consultation. A summary is usable if not blank, corrupted, or rendered unusable by technical failure; it need not be clinically perfect. Completion may occur at home or through rescue; availability is defined independently of whether the clinician opened the summary (the attestation captures actual use). The primary analysis includes all consented participants whose eligible in-person appointment proceeds and who have an opportunity to receive the study intervention. Failure to receive, initiate, or complete the interview - including technical failure or participant refusal after consent - is counted as unsuccessful completion.
2 secondary outcomes
1) Patient engagement with the chatbot
Time frame: Baseline
Objective durations
Time frame: Baseline
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 20 Oct 2026.
- Individual participant dataSharing planned: No
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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.
The record lists no contact. Use the official record to reach the sponsor.
Questions about this trial
What is this clinical trial studying?
An observational study of Symptom Tracking and Cardiology, run by London Health Sciences Centre Research Institute OR Lawson Research Institute of St. Joseph's.
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 5 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: opening soon, as of the sponsor's last update on 20 Oct 2026. Status can change between updates, so confirm with the study contact before making plans.
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?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Usability (time frame: Baseline). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
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 20 Oct 2026.