Insurance Chatbot Examples: 5 Innovative Use Cases

Yes, you can deliver an omnichannel experience to your customers, deploying to apps, such as Facebook Messenger, Intercom, Slack, SMS with Twilio, WhatsApp, Hubspot, WordPress, and more. Our seamless integrations can route customers to your telephony and interactive voice response (IVR) systems when they need them. Additionally, chatbots also take the feedback to check whether they have resolved the issue or not to provide further assistance. Chatbots can easily interact with the customers at any point in time and collect basic and other customer details. Chatbots can be deployed in various ways to build strong customer engagement and satisfaction rates irrespective of the industry.

Subsequently, these patient histories are sent via a messaging interface to the doctor, who triages to determine which patients need to be seen first and which patients require a brief consultation. After reading this blog, you will hopefully walk away with a solid understanding that chatbots and healthcare are a perfect match for each other. In more complex cases, an AI chatbot can act as the first line of defense to gather information from a policyholder before passing it off to an agent. To learn more about how natural language processing (NLP) is useful for insurers you can read our NLP insurance article. In addition, AI will be the area that insurers will decide to increase the amount of investment the most, with 74% of executives considering investing more in 2022 (see Figure 2).

Top Benefits of Chatbots in Healthcare

Service-provided classification is dependent on sentimental proximity to the user and the amount of intimate interaction dependent on the task performed. This can be further divided into interpersonal for providing services to transmit information, intrapersonal for companionship or personal support to humans, and interagent to communicate with other chatbots [14]. The next classification is based on goals with the aim of achievement, subdivided into informative, conversational, and task based. Response generation chatbots, further classified as rule based, retrieval based, and generative, account for the process of analyzing inputs and generating responses [16]. Finally, human-aided classification incorporates human computation, which provides more flexibility and robustness but lacks the speed to accommodate more requests [17].

Even they take consent from the customers before storing their details and chat history. A virtual assistant that is AI chatbots are capable of doing so in less time and with accuracy. They can perform these operations by accessing back-office systems through Robotic Process Automation(RPA). In the insurance health insurance chatbots industry, agents need to provide many services and many operations that need to be handled. Customers want their queries to be resolved as soon as possible with the right solution. To go with any insurance policy, customers must have constant support from experts at every stage of their customer journey.

Why Providers Should Evaluate an Insurance Chatbot with AI for their Business

A user interface is the meeting point between men and computers; the point where a user interacts with the design. Depending on the type of chatbot, developers use a graphical user interface, voice interactions, or gestures, all of which use different machine learning models to understand human language and generate appropriate responses. This chatbot solution for healthcare helps patients get all the details they need about a cancer-related topic in one place. It also assists healthcare providers by serving info to cancer patients and their families. The medical chatbot matches users’ inquiries against a large repository of evidence-based medical data to provide simple answers. This medical diagnosis chatbot also offers additional med info for every symptom you input.

Despite the initial chatbot hype dwindling down, medical chatbots still have the potential to improve the healthcare industry. The three main areas where they can be particularly useful include diagnostics, patient engagement outside medical facilities, and mental health. At least, that’s what CB Insights analysts are bringing forward in their healthcare chatbot market research, generally saying that the future of chatbots in the healthcare industry looks bright. Today around 85% of insurance companies engage with their insurance providers on  various digital channels. To scale engagement automation of customer conversations with chatbots is critical for insurance firms.

Use case #5. Enhancing application collection and customer qualification

Chatbot companies must also comply with rules and regulations about customer privacy and security law such as GDPR. Generally, insurance amount transactions are done online or offline; a single error in transactions or interpretation will lead to a considerable loss to customers and insurance firms. Additionally, a chatbot can automatically send a survey via email or within the chat box after the conversation has concluded. In this interview, we speak with Jack O’Meara, co-founder and CEO of Ochre Bio, a pioneering force in liver disease treatment. O’Meara shares insights into Ochre Bio’s innovative RNA therapies, their approach to tackling liver disease, and the company’s vision for the future. Dr. Liji Thomas is an OB-GYN, who graduated from the Government Medical College, University of Calicut, Kerala, in 2001.

Hopefully, after reviewing these samples of the best healthcare chatbots above, you’ll be inspired by how your chatbot solution for the healthcare industry can enhance provider/patient experiences. Conversational chatbots use natural language processing (NLP) and natural language understanding (NLU), applications of AI that enable machines to understand human language and intent. McKinsey found that auto insurers that provide excellent experiences have seen 2-4X more growth in new business and 30% higher profits than other firms8. In even more proof, 90% of customers who feel appreciated and 69% of those who feel valued will increase their spending with an insurance company9. AI-powered chatbots allow insurance firms to offer 24/7 customer assistance, ensuring that clients receive immediate answers to their questions, irrespective of the hour or day. Furthermore, chatbots can manage several customer interactions simultaneously, guaranteeing that no client is left waiting for a reply or stuck on hold for hours.

Why Streebo’s Health Insurance Bots

This is a chat messaging service for health professionals offering assistance with appropriate drug use information during breastfeeding. Promising progress has also been made in using AI for radiotherapy to reduce the workload of radiation staff or identify at-risk patients by collecting outcomes before and after treatment [70]. An ideal chatbot for health care professionals’ use would be able to accurately detect diseases and provide the proper course of recommendations, which are functions currently limited by time and budgetary constraints. Continual algorithm training and updates would be necessary because of the constant improvements in current standards of care.

In this article, we’ll explore how chatbots are bringing a new level of efficiency to the insurance industry. Conversational chatbots with different intelligence levels can understand the questions of the user and provide answers based on pre-defined labels in the training data. Chatbot algorithms are trained on massive healthcare data, including disease symptoms, diagnostics, markers, and available treatments. Public datasets are used to continuously train chatbots, such as COVIDx for COVID-19 diagnosis, and Wisconsin Breast Cancer Diagnosis (WBCD). GEICO, an auto insurance company, has built a user-friendly virtual assistant that helps the company’s prospects and customers with insurance and policy questions.