The Impact of Unintentional Exposure on Ongoing Utilization of AI Chatbots in Healthcare: A Multigroup Study
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By
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Shuming Yang
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Zikun Liu
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Yangwen Jiang
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September 5, 2026
Clinical Scorecard: The Impact of Unintentional Exposure on Ongoing Utilization of AI Chatbots in Healthcare: A Multigroup Study
At a Glance
| Category | Detail |
|---|
| Condition | AI Chatbots in Healthcare |
| Key Mechanisms | Incidental exposure to media information influences cognitive and affective responses, affecting users' intention to continue using AI chatbots. |
| Target Population | Individuals seeking health information, particularly in underserved regions. |
| Care Setting | Digital health communication and technology adoption. |
Key Highlights
- 78% of respondents use AI agents for self-diagnosis.
- AI chatbots provide a cost-effective alternative for accessing health information.
- Media exposure significantly influences users' intention to adopt AI chatbots.
- The study applies the hierarchy-of-effects model to assess user engagement.
- Attitudes toward human doctors may affect the interpretation of AI chatbot information.
Guideline-Based Recommendations
Diagnosis
Management
Monitoring & Follow-up
Risks
Patient & Prescribing Data
Individuals in need of health advice and information.
AI chatbots can enhance access to health information but may face user discontinuation.
Clinical Best Practices
- Utilize AI chatbots as a supplementary resource for health information.
- Encourage awareness and positive attitudes towards AI technologies in healthcare.
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