Consumers Increasingly Turn to AI Chatbots for Health Information: Report

Why It Matters

The rapid adoption signals a shift toward AI‑driven patient self‑service, pressuring providers to integrate reliable chatbot solutions and address safety and regulatory concerns.

Key Takeaways

• One-third of U.S. adults have used AI health chatbots
• Usage doubled compared to the previous year
• ChatGPT leads with 23% share of health queries
• Provider-specific chatbots remain under 5% adoption
• Experts warn AI essential for affordable, unbiased care

Pulse Analysis

The Rock Health 2025 Consumer Adoption Survey reveals a watershed moment for digital health: 33% of American adults now rely on AI chatbots for medical information, up from roughly 16% a year earlier. This surge, captured in a December poll of 8,000 respondents, underscores the growing trust in large‑language models like ChatGPT, which alone accounts for nearly a quarter of all health‑related queries. Secondary platforms such as Gemini, Perplexity, and Claude together make up a modest slice, while provider‑owned bots lag far behind, reflecting both limited deployment and consumer unfamiliarity.

For healthcare systems, the data presents both opportunity and risk. On one hand, AI chatbots can extend triage capabilities, reduce call‑center volumes, and empower patients to obtain preliminary guidance without waiting for an appointment. On the other hand, the prevalence of generic, non‑clinical models raises concerns about misinformation, privacy, and algorithmic bias. Providers that invest in vetted, compliant chatbot solutions may gain a competitive edge by offering consistent, evidence‑based advice, yet they must navigate regulatory scrutiny and ensure seamless integration with electronic health records to avoid fragmented care.

Looking ahead, industry stakeholders are likely to accelerate the development of purpose‑built health chatbots, backed by stricter oversight from the FDA and HIPAA‑aligned data protections. As AI models become more specialized and transparent, they could lower operational costs, improve health equity, and support clinicians in delivering personalized care. The current consumer momentum suggests that, within the next few years, AI‑driven health assistants will move from novelty to a core component of the U.S. healthcare ecosystem.