AI Patient Chatbots: Triage, Scheduling, and Follow-Up

AI-powered patient chatbots are increasingly adopted in healthcare settings to improve engagement, optimize workflow, and enhance patient outcomes. These tools commonly address functions such as symptom triage, scheduling appointments, and managing follow-up communications, delivering value in reducing provider burden and ensuring timely patient care.

1. Buoy Health

Buoy Health offers an AI symptom checker and triage chatbot designed for patients to assess key symptoms and receive guidance on care urgency. Its proprietary AI model leverages clinical data to estimate condition severity and suggest next steps, reducing inappropriate emergency visits. Buoy integrates with EHR systems via HL7 and FHIR standards and offers custom scheduling workflows.

Buoy Health licenses its platform with pricing based on patient volume and integration complexity, typically starting around $50,000 annually for midsize health systems, according to publicly available vendor disclosures.

2. Orbita Health

Orbita Health provides an enterprise-grade conversational AI platform that supports patient triage, appointment scheduling, and follow-up automation. The platform includes voice and text-based chatbot capabilities; it supports HIPAA compliance and can integrate with multiple EHRs through API connectors.

Orbita's deployment model features on-premise and cloud options, allowing flexibility tailored to organizational security policies. Pricing for Orbita generally starts at $75,000 per year for a midsize implementation, per industry analyst reports.

3. Sensely

Sensely employs an avatar-driven chatbot paired with AI-powered symptom triage and patient engagement workflows. Its platform prioritizes accessibility through multiple languages and channels including mobile apps and web portals. Sensely’s AI blends rule-based logic with machine learning to guide users through clinical questioning.

Sensely markets its solution to health systems and insurance payers, with annual licensing fees reported in the $40,000 to $100,000 range depending on scale and complexity.

4. HealthTap

HealthTap integrates AI symptom checker features combined with virtual care and provider scheduling. The chatbot triages patient concerns and routes them to appropriate care levels, including telehealth consultations. It also supports automated follow-up reminders and preventive care nudges.

HealthTap operates on a subscription model, with pricing for healthcare organizations starting near $20,000 per month, which covers chatbot access and telehealth capability, based on vendor whitepapers.

5. Gyant

Gyant deploys AI-driven virtual assistants focused on patient triage and communication workflows. The platform supports integration into existing clinical workflows and EHRs, enabling seamless scheduling and personalized follow-up through conversational interfaces on web and mobile.

Gyant’s pricing is custom quoted but industry sources estimate annual contracts around $60,000 for mid-tier health systems, with scalability options for enterprise deployments.

6. Ada Health

Ada Health provides an AI symptom assessment chatbot used by millions of patients globally. Ada’s engine blends clinical guidelines with probabilistic reasoning to deliver triage suggestions. The platform supports scheduling integration and post-encounter health education messaging.

Health organizations license Ada under enterprise agreements that vary by usage and integration level, with reported average annual costs between $30,000 and $80,000.

Checklist for Selecting AI Patient Chatbots