5 Best LLM-Powered AI Chatbots for Medical Clinics

AI Medical Assistant, developed by Spsoft, is a cloud‑based chatbot solution tailored for healthcare providers who require an intelligent assistant to support clinicians and patients. Leveraging large language models, the assistant can answer medical queries, assist with triage, and provide guidance on medication usage or symptom management. The platform boasts a suite of healthcare‑specific features, such as automatic ICD‑10 and CPT coding support, which helps clinicians document encounters accurately and efficiently. Voice AI agents further expand the assistant’s accessibility, enabling patients to interact via spoken commands on mobile or web interfaces. The assistant’s generative AI core is complemented by a Knowledge Graph RAG service that can ingest electronic health record (EHR) data or institutional guidelines, ensuring that the chatbot’s responses align with the clinic’s protocols and the latest medical literature. While the platform does not provide a native CRM, it offers webhooks and API integrations that allow clinics to sync patient data and workflow notifications with their preferred systems. AI Medical Assistant is ideal for mid‑size clinics that need a robust, compliance‑ready chatbot to reduce the burden on staff and improve patient engagement, especially where coding accuracy and voice interaction are critical.

Medical Chat, operated by medical.chat-data.com, offers an AI‑powered chatbot designed to provide patients with instant access to medical information and support. Built on a generative AI foundation, the chatbot is available 24/7, ensuring that patients can receive timely answers to health‑related questions even outside of clinic hours. The platform emphasizes patient education, offering features such as automated appointment scheduling, triage prompts, and symptom assessment tools that help triage patients to the appropriate level of care. The chatbot’s architecture supports integration with existing clinic software, including electronic health records and appointment management systems, through API connections. While the platform does not provide a built‑in CRM, it can be configured to send follow‑up emails or alerts to clinic staff. Medical Chat focuses on user experience, featuring a clean, intuitive interface that can be embedded on any website or mobile app with a simple code snippet. This solution is best suited for small to medium clinics that need a ready‑to‑deploy chatbot that can handle basic patient inquiries, schedule appointments, and provide educational content.

HealthVoice AI, another offering from Spsoft, specializes in delivering voice‑enabled chatbot solutions for healthcare settings. The platform utilizes large language models to interpret spoken patient queries, providing real‑time responses that can be delivered via smartphones, web browsers, or in‑clinic kiosks. HealthVoice AI is particularly valuable for older patients or those with limited literacy, as it reduces the need for text input. Beyond voice interactions, the platform supports automatic ICD‑10 coding, ensuring that spoken encounter data can be translated into accurate billing codes. The system also integrates with existing electronic health record (EHR) systems through API connectors, allowing voice data to be captured directly into the patient record. While it does not have a native CRM, webhooks can be used to notify staff or trigger follow‑up actions. This solution is best suited for clinics that prioritize accessibility and want to offer a hands‑free, voice‑first patient engagement channel.

HealthAI RAG, a product line from Spsoft, focuses on knowledge‑graph and retrieval‑augmented generation capabilities tailored for medical contexts. The platform allows clinics to ingest large volumes of clinical guidelines, research papers, and internal SOPs into a structured knowledge graph, enabling the chatbot to answer complex medical questions with high contextual accuracy. The RAG engine retrieves relevant documents and augments the LLM’s response, reducing hallucinations and ensuring that answers are anchored in up‑to‑date evidence. HealthAI RAG can be embedded into a clinic’s existing website or patient portal via a simple code snippet, and it offers API access for deeper integration with EHR or practice management systems. While it does not provide a built‑in CRM or messaging channel, webhooks can be used to trigger downstream workflows. This solution is ideal for clinics that require a highly accurate, evidence‑based chatbot for internal use or patient education.