10 Best Healthcare Chatbots of 2026

Hyro, now branded Care OnCue, sells agents that sit on top of the systems a health system already runs. On the web, Chat OnCue answers questions and routes patients; on the phone, Routing OnCue replaces long IVR trees; and the same agents handle FAQs, appointment requests, prescription refills and referral fulfillment against the EHR. When a patient needs a person, the agent has already verified identity in the EHR and passes a summary and a CRM pop-up to the staff member. Hyro names Epic, Oracle Health and Salesforce as EHR and CRM integrations and Five9, Cisco and Genesys for contact centers. The vendor says Care OnCue runs at 2,500 hospitals, clinics and facilities. The trade-offs are the usual ones for enterprise healthcare software: no published prices, a sales process and an implementation project, which makes it a poor fit for a single clinic that wants a website bot this week.

Syllable is a platform rather than a finished product: you build agents with code or its no-code tools, run them on its infrastructure and tune them with analytics. It covers voice, SMS, chat and web channels and lists an Epic EHR integration alongside Twilio SMS, Twilio SIP trunking, Google Drive and Salesforce. The use cases on its site are the core of patient access work: call routing, appointment scheduling, outbound reminders and medical records requests. Pricing is unusually open for healthcare. Enterprise voice hosting is $0.06 a minute, text costs $15 per million characters each way, and model and speech providers are passed through at cost with zero markup. Syllable lists SOC 2 Type II and HITRUST e1. The catch is the work involved: someone on your side has to design the flows, test them and keep integrations current, and a full per-conversation cost only appears once you add model usage.

Microsoft's healthcare agent service, formerly Azure Health Bot, is a developer platform with healthcare parts already in the box. It ships with a triage and symptom checker based on medical protocols, Healthcare Intelligence content sources and generative answers grounded in your own websites or documents through Azure AI Search or Bing Custom Search. Every answer passes healthcare safeguards for evidence detection, provenance and clinical code validation, and chat safeguards add disclaimers and abuse monitoring. Teams author custom scenarios, such as appointment scheduling, in a visual editor and connect EMR and customer systems through data connections. Pricing moved to $0.01 per action in November 2025, where a classic message uses one action and an answer grounded in customer sources uses two, and a free F0 tier covers evaluation. Microsoft lists it as HIPAA-ready with HITRUST and SOC 2 Type 2. It needs developers, and scheduling against your EHR is something you build.

Retell AI is a general agent platform, but it is one of the few on this list a clinic can sign up for today and pay per message. Chat agents start at $0.002 a message and voice agents cost $0.07 to $0.31 a minute depending on the model and voice, with $10 in free credits to start. The building blocks fit patient work: an appointment booking action that checks availability, knowledge bases for FAQ answers, transfer to a human and simulation testing before launch. Retell describes itself as SOC 2 certified and HIPAA-ready, with a HIPAA BAA listed among its enterprise terms, so confirm the plan before handling patient data. The downsides follow from its general design. There are no healthcare-specific workflows out of the box, EHR connections are not listed on the pricing page, and SMS adds $0.01 a message. It suits a practice with someone comfortable writing prompts and testing flows.

Kore.ai is a general enterprise agent platform with a healthcare provider package that arrives with more than 100 prebuilt use cases, integrations and HIPAA compliance included. Patient-facing agents cover appointment booking and management, prescription refills, lab results and registration, while care coordination agents handle prior authorization and referrals. The same platform supports HR, IT and recruiting work, which matters if your organization wants one vendor for internal and patient bots. Kore.ai names Epic, Oracle Cerner, NextGen Healthcare, Artera and Denticon as EHR connectors and Genesys, NICE, Talkdesk, Twilio and Amazon Connect for contact centers, with web, mobile, Slack and Microsoft Teams among its channel connectors. Its page reports 40 to 60% self-service containment. Prices are not published, and the breadth of the platform means a sales-led project rather than a quick install. SMS is not listed on the provider page, so confirm text messaging if patients expect it.

Google Conversational Agents is the current name for Dialogflow CX plus its generative Playbooks. Flows suit predictable tasks such as checking clinic hours or walking a patient through a reschedule, while Playbooks let you describe a generative agent in plain language and ground it in data stores built from your website or documents. Chat requests cost $0.007 on Flows and $0.012 on Playbooks, voice is billed per second, and new users get trial credits for 12 months. Google lists Conversational Agents among the products covered by its HIPAA BAA, though its guidance says not to put PHI in agent definitions such as intents, training phrases and entities. Deployment options include the Dialogflow Messenger web widget and telephony through Phone Gateway, Twilio, Avaya, AudioCodes and SIP trunks. What it lacks is healthcare content: there are no healthcare templates or EHR connectors, so scheduling against your system is custom work.

Luma Health sells a patient engagement platform that now runs on AI agents. Its outreach agent texts patients after they cancel or miss an appointment, keeps following up until they rebook, and writes the chosen time into the EHR; the same approach closes care gaps when visits are due. Around it sit intake forms and checklists, eligibility checks, reminders, payments and Fax Transform, and Agent Launchpad orchestrates agents for tasks such as procedure prep. Luma names integrations with athenahealth, eClinicalWorks, Epic, Oracle Health and MEDITECH and partnerships with NextGen, Nextech, Greenway Health and PCC, the broadest EHR list here. It describes itself as HIPAA-compliant and lists HITRUST CSF r2, HITRUST ai2 and SOC 2 Type II. As a chatbot, Luma leans toward outbound text and phone rather than a website FAQ widget, and pricing requires a demo, so it suits groups replacing reminder and intake tools more than those adding a site bot.

Notable approaches patient conversations as one part of a wider automation platform. On the access side, its voice and SMS agents handle inquiries, scheduling and billing around the clock, reach out to book follow-ups and referrals or fill open slots, welcome new patients and support MyChart questions with a warm transfer for complex issues. Around those agents sit workflows that a chatbot vendor would not touch, such as reading faxed orders into Epic and sending good faith estimates. Notable says it integrates bi-directionally with EHRs and payer portals and names Epic, Oracle and athenahealth, using HL7, SFTP and SIP. Flow Builder and the newer Flow Compass let operators design and govern automations. Named customers include MUSC Health, UC San Diego Health and CommonSpirit. For a list about chatbots the gap is web chat: the access page describes voice and SMS but no website chat agent, and pricing is only available through a demo.

Amazon Lex is the building block AWS customers reach for when they want a bot on their own infrastructure. Text requests cost $0.00075 and speech requests $0.004, which makes it the cheapest metered option on this list, and new AWS customers can apply Free Tier credits to it. Lex appears on the AWS list of HIPAA eligible services, so it can process PHI under an AWS BAA. The features that matter for clinics are the conversational FAQ intent, which answers from an authorized knowledge source using Amazon Bedrock models, assisted slot resolution for free-form answers during intake, and AWS Lambda for checking or updating schedules in back-end systems. Phone bots run natively in Amazon Connect or through Genesys Cloud CX, and text bots reach Twilio SMS, Slack and Facebook Messenger. Everything healthcare-specific is yours to build, including EHR scheduling, and setup requires AWS skills, which is why it scores lower on ease of setup.

Infermedica solves a narrower problem than the other entries: deciding where a patient should go. Patients describe symptoms by chat, voice or form inside your app, portal or contact center flow, and the engine weighs symptoms, risk factors and conditions to recommend an urgency level and next step. The same engine supports nurse and call center triage and pre-visit intake that collects structured information before the appointment. Developers work through the Engine API, a Platform API with triage, intake and follow-up interview types, and a Conversational Triage API with streaming, handoff and summary reports. Infermedica says its triage is certified as a Class IIb medical device under EU MDR and states HIPAA and SOC 2 Type 2 compliance, and it reports more than 30 million checkups in over 30 countries. It does not book appointments or answer general clinic FAQs, so most buyers pair it with a scheduling bot, and pricing comes through sales.