Chatbots are expected to make up a market size of more than $1 billion in 2021.

Based in Riverside, CA, SmartBot360, a UCR spin-off company & part of Riverside ExCITE, lets healthcare companies create, manage and share AI chatbots. Through its AI-chat bot technology specifically for the healthcare vertical, SmartBot360 wants to reduce mundane and manual tasks like answering FAQs, making appointments, collecting feedback, sending reminders, or making sale pitches.

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The platform lets companies increase the number of reached customers by offloading routine interactions to the AI-powered chatbots.

Chatbot Templates

The startup states that it analyzed over one hundred thousand patient-to-chatbot conversations helping it to design effective chatbot templates for most healthcare domains. In addition, it provides practice-specific chatbots for Bariatrics, Dermatology, Optometry, and Counseling.

Chatbots and humans work together through easy-to-define triaging handover protocols. As a result, customers can monitor and analyze ongoing sessions, start new chatbot campaigns, and directly chat with the customers.

Man Hours Saved

The platform has easily measured ROI based on man-hours saved for customer service (e.g., FAQ bots) or customer relations management (e.g., engagement, retention). The chatbots are HIPAA-compliant and can be deployed on Facebook Messenger, SMS, Web pages, or other media.

Company’s History

The startup is based in Riverside, CA, and was founded by Vagelis Hristidis, a Computer Science Professor at UCR with expertise in text and big data analytics. Originally, the startup was backed by the National Science Foundation.

Popular Use Cases for Healthcare Chatbots

Healthcare is a legacy industry where many workflows can be automated, including information sharing. Chatbots in healthcare have the following popular use cases:

• Provide medical information
• Schedule medical appointments
• Collect patient data
• Handle insurance inquiries
• Provide mental health assistance
• Request prescription refills

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