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What are some examples of AI-powered healthcare chatbots?

Healthcare chatbots serve diverse functions across patient engagement and clinical support. Babylon Health provides symptom assessment and triage, asking questions about symptoms, duration, and severity to recommend appropriate care levels—used by millions globally. Ada Health offers similar symptom checking with natural language conversation, achieving 80%+ accuracy in identifying correct conditions within top-3 suggestions. Your.MD (now Healthily) combines symptom checking with personalized health information and local healthcare service navigation. Woebot delivers cognitive behavioral therapy for mental health through conversational AI, demonstrating efficacy in reducing depression and anxiety in clinical studies. Buoy Health uses conversational AI for triage, guiding patients to appropriate care settings while reducing unnecessary ER visits. K Health analyzes millions of patient cases to provide diagnosis suggestions and treatment options during chat interactions. Provider-focused chatbots include: Safedrugbot answering medication interaction questions for clinicians, Florence enabling patient communication with care teams (appointment scheduling, medication reminders, health tracking), and Sensely combining avatar-based conversation with biometric data collection from connected devices. Internal hospital chatbots handle: benefits navigation for employees, policy and procedure queries, IT helpdesk functions, and scheduling assistance. The key to success: clear scope definition (chatbots excel at structured tasks, not open-ended medical advice), transparent limitations, and seamless escalation to humans when needed. Most healthcare organizations now deploy chatbots handling 40-60% of routine inquiries.