AI-Generated Health Messages for Outpatient Care

(AI-CARE Trial)

Age: 18+

Sex: Any

Trial Phase: Academic

Sponsor: Hopital Montfort

Disqualifiers: Illiteracy, No email, No device, others

No Placebo Group All trial participants will receive the active study treatment (no placebo)

Compensation: Varies

Number of Visits: Unknown

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial aims to determine if AI-generated health messages can effectively support primary care by providing accurate and accessible patient education. By comparing messages created by AI and human experts, the researchers hope to discover if AI can help reduce misinformation and improve communication between patients and healthcare providers. The trial will assess the quality and usefulness of these messages, particularly considering how different economic backgrounds might affect their accessibility. Individuals who speak English or French and can provide feedback on these messages might be suitable for this trial. As an unphased trial, this study offers participants the opportunity to contribute to innovative research that could enhance healthcare communication for diverse communities.

Will I have to stop taking my current medications?

The trial information does not specify whether you need to stop taking your current medications. It seems to focus on evaluating health messages rather than medical treatments.

What prior data suggests that AI-generated health messages are safe for patient education?

Research has shown that AI-generated health messages offer both benefits and drawbacks. Some studies found that these messages can speed up communication with patients. However, safety concerns exist. AI might sometimes provide outdated or incorrect information, potentially confusing patients or causing misunderstandings about their health.

Another risk is that AI might miss important health signs due to biases in the data it learned from, potentially overlooking serious health problems.

While AI holds exciting potential to assist doctors and nurses, awareness of these risks is crucial. Always verify AI-generated advice with a healthcare professional to ensure accuracy and safety. ^{1 2 3 4 5}

Why are researchers excited about this trial?

Researchers are excited about the trial of AI-generated health messages for outpatient care because it introduces a novel approach to patient communication. Unlike traditional methods where health messages are crafted by human experts, this approach uses Artificial Intelligence to generate personalized messages. This method could potentially enhance patient engagement by providing more tailored and frequent communication. The trial aims to explore whether AI can match or even surpass human expertise in delivering effective health promotional messages, potentially transforming how outpatient care is managed.

What evidence suggests that AI-generated health messages are effective for patient education?

This trial will compare AI-generated health messages with those created by human experts. Research has shown that AI-generated health messages could transform communication in healthcare. AI can facilitate clearer and quicker interactions between doctors and patients. Studies have found that AI reduces the time needed to reply to patient messages by nearly 7%, allowing doctors to answer more questions without additional time. Researchers are also exploring AI tools for their ability to create high-quality information that meets primary care standards. Early evidence suggests AI might reduce misinformation and enhance patient education. ^{3 6 7 8 9}

Who Is on the Research Team?

William Hogg, MD, MSc

Principal Investigator

Institut du Savoir Montfort

Sharon Johnston, MD, LLM

Principal Investigator

Institut du Savoir Montfort

Are You a Good Fit for This Trial?

This trial is for individuals who can visit outpatient clinics and are interested in evaluating health promotional messages. Participants will be involved in reviewing the quality of information provided by both AI-generated and human-created health messages.

Inclusion Criteria

Providers' review panel must be diverse primary care providers providing comprehensive care in Canada. They must be proficient in either written English or French and able to consent to participate in the study.

I am skilled in primary care, public health, or health communication and speak French natively.

I am 18 or older, can understand English or French, and can consent to join the study.

Exclusion Criteria

I am unable to give informed consent myself due to age or condition.

Content team members, primary care providers, or patients who cannot write (content team members) or read (review panels) in either French or English.

Primary care providers or patients who do not have an email address, a computer, or a cellphone to complete the evaluations on REDCap.

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Content Generation and Evaluation

Generative AI and human experts create patient education messages. Review panels assess the messages on quality, adaptability, and relevance.

12 months

Monthly evaluations

Follow-up

Participants are monitored for feedback on message effectiveness and quality

4 weeks

What Are the Treatments Tested in This Trial?

Interventions

• Health promotional messages generated by Artificial Intelligence

Trial Overview

The study compares patient education materials generated by Generative AI with those created by human experts. It aims to assess their quality, adaptability, relevance, and usefulness through feedback from diverse panels of patients and providers.

How Is the Trial Designed?

Group I: Artificial Intelligence Experimental Treatment 1 Intervention

Group II: Human expert Active Control 1 Intervention

Who Is Running the Clinical Trial?

Hopital Montfort

Lead Sponsor

Trials

15

Recruited

5,000+

Cheo Research Institute

Collaborator

CHEO Research Institute

Collaborator

Trials

3

Recruited

1,100+

Eastern Ontario Health Unit

Collaborator

Trials

1

Recruited

10+

Citations

1.

pmc.ncbi.nlm.nih.gov

pmc.ncbi.nlm.nih.gov/articles/PMC8285156/

Artificial intelligence in healthcare: transforming the ...

AI is a powerful and disruptive area of computer science, with the potential to fundamentally transform the practice of medicine and the delivery of healthcare.

2.

jamanetwork.com

jamanetwork.com/journals/jama/fullarticle/2840175

AI, Health, and Health Care Today and Tomorrow

This Special Communication discusses how health and health care artificial intelligence (AI) should be developed, evaluated, regulated, ...

3.

nature.com

nature.com/articles/s41746-025-01972-w

Utilization of Generative AI-drafted Responses for ...

AI-generated drafts reduced message turnaround time by 6.76% despite a marginal increase in required steps (InBasket actions). These findings ...

4.

sciencedirect.com

sciencedirect.com/science/article/pii/S2352396425003056

The impact of using AI-powered voice-to-text technology for ...

This systematic review assesses AIVT's impact on care quality in primary care and outpatient settings, focusing on seven components: effectiveness, efficiency, ...

5.

health.ucsd.edu

health.ucsd.edu/news/press-releases/2024-04-15-study-reveals-ai-enhances-physician-patient-communication/

Study Reveals AI Enhances Physician-Patient Communication

The study's findings suggest a potential paradigm shift in health care communication by leveraging AI, noting that further analysis is needed to ...

6.

pmc.ncbi.nlm.nih.gov

pmc.ncbi.nlm.nih.gov/articles/PMC12022076/

Opportunities and risks of artificial intelligence in patient ...

This study identified AI-generated responses to patient portal messages that posed safety risks due to hallucinations, outdated information ...

7.

jamanetwork.com

jamanetwork.com/journals/jamanetworkopen/fullarticle/2816494

Artificial Intelligence–Generated Draft Replies to Patient ...

Main Outcomes and Measures The primary outcome was AI-generated draft reply utilization as a percentage of total patient message replies.

8.

sciencedirect.com

sciencedirect.com/science/article/pii/S2949761224000415

Transforming Health Care With Artificial Intelligence

This article explores the transformative role of AI in medical record-keeping, highlighting its potential to reduce physician burnout and improve patient care.

9.

ascopubs.org

ascopubs.org/doi/10.1200/EDBK-25-481490

Artificial Intelligence in the Clinic: Creating Harmony or Just ...

The possibility of AI missing signs of serious illness because of bias in its training data could deceive patients and potentiate harm. Before ...