The AI-CARE (for AI to Create Accessible & Reliable patient Education materials) study investigates the use of Generative AI (GAI) to support primary care practices in delivering accurate, accessible patient education. With the rise of health misinformation, increasingly complex patient needs, and a strained healthcare workforce, primary care must find new ways to communicate trusted health information effectively. Leveraging the Canadian Primary Care Information Network (CPIN), this study will generate patient education messages on key health topics using both GAI and human content experts.
Diverse review panels of patients and providers will assess the messages on quality of information, adaptability, and relevance and usefulness, with special attention to socioeconomic factors that may impact message accessibility. CPIN will recruit a diverse sample of participants to evaluate both GAI- and human-generated messages. Review panels will provide structured feedback via surveys, aiming to identify differences in content quality and effectiveness.
The study’s goal is to determine whether GAI can produce high-quality health information that meets primary care standards. Results will reveal how GAI tools can support primary care in reducing misinformation and administrative burdens, fostering patient-provider relationships, and improving health equity. Findings will inform best practices for integrating GAI in primary care to ensure accessible, timely patient education across Canada.
Recruitment of primary care providers and patients for review panels
We are currently recruiting primary care providers and patients (francophones and anglophones) for our review panels! As a member of the review panel, you will be asked to review:
- 4 messages per topic: 2 short (less than 900 characters) and 2 long (up to one page)
- 4 topics per month
We anticipate that reviewing each topic will take approximately 1h or less. This commitment will last for about a year, during which you will be compensated for your time:
- Providers: 100$ per hour (or per topic), for a maximum of $400 per month
- Patients: 25$ per hour (or per topic), for a maximum of $100 per month