Insurance Chatbots: Use Cases & Examples

For more insights about how the healthcare sector is using modern technologies, keep a close eye on our blog. And if you’re searching for a technology partner for your healthtech project, don’t hesitate to reach out to us. Patients can save their time and money when treating minor ailments with over-the-counter medication, and doctors have time for patients who require more attention.

If you provide two-wheeler insurance policies to your customers, this chatbot can help you generate leads of prospects looking for your services. This chatbot template helps you collect medical reimbursement requests or claims from patients by eliminating the added mailing time. This is the easiest and fastest way for your customers to file their claims. Now, patients are not required to connect with doctors or nurses at least for getting answers to their basic queries.

Helps in Emergency Situations

Medical chatbots offer a solution to monitor one’s health and wellness routine, including calorie intake, water consumption, physical activity, and sleep patterns. They can suggest tailored meal plans, prompt medication reminders, and motivate individuals to care. A health insurance bot guides your customers from understanding the basics of health insurance to getting a quote. This chatbot template provides details on the availability of doctors and allows patients to choose a slot for their appointment. In the event of a medical emergency, chatbots can instantly provide doctors with patient information such as medical history, allergies, past records, check-ups, and other important details.

They can understand linguistic cues and draw the proper context from the exchange to provide the best answers in an easy, conversational way. This “conversational coverage” approach is a great way to resolve queries, provide information, and engage with customers through personalized interactions. Insurance chatbots are specifically designed to meet insurance companies’ evolving needs and, more importantly, their customers. The best insurance chatbots are versatile and can be used as either customer-facing applications (e.g., to provide quotes) or internally to help companies with applications like claims processing. IBM watsonx Assistant for Insurance uses natural language processing (NLP) to elevate customer engagements to a uniquely human level.

Care Information Assistant

If you’re looking for a way to improve the productivity of your employees, implementing a chatbot should be your first step. Regardless of the industry, there’s always an opportunity to upsell and cross-sell. After they are done selling home insurance or car insurance, they can pitch other products like life insurance or health insurance, etc.

The insurers who know how to use new technologies — in the right place, at the right time — to do more, faster, for policyholders will be the winners in the race to deliver an unbeatable CX. Contact us today to learn more about how we can help you create a chatbot that meets the unique needs of your insurance company. In addition, the chatbot has helped FWD Insurance save $1 million per year in client support costs. Chatbots reduce client frustration by providing an easy and quick manner of getting things done.

Top 8 Use Cases of Insurance Chatbots

Although not specifically an oncology app, another chatbot example for clinicians’ use is the chatbot Safedrugbot (Safe In Breastfeeding) [69]. 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.

With their ability to understand natural language, healthcare chatbots can be trained to assist patients with filing claims, checking their existing coverage, and tracking the status of their claims. Moreover, with rising competition in the insurance industry, customers have far too many options to choose from. So, if a provider fails to meet their expectations, they will quickly shift to a competitor. They expect seamless, on-demand services and a more personalized experience. It would be difficult to imagine having these expectations met with old, complex processes.

Its chatbot asks users a sequence of clarifying questions to help them find the right insurance policy based on their needs. The bot is powered by natural language processing and machine learning technologies that makes it possible for it to process not only text messages but also pictures (e.g. photos of license plates). Sensely’s services are built upon using a chatbot to increase patient engagement, assess health risks, monitor chronic conditions, check symptoms, etc. Every time a customer needs help, they turn to Sensely’s virtual assistant. This is one of the best examples of an insurance chatbot powered by artificial intelligence. By user interface, the text-based interface segment acquired major insurance chatbot market size in 2022.

As the AI field lacks diversity, bias at the level of the algorithm and modeling choices may be overlooked by developers [102]. In a study using 2 cases, differences in prediction accuracy were shown concerning gender and insurance type for intensive care unit mortality and psychiatric readmissions [103]. On a larger scale, this may exacerbate barriers to health care for minorities or underprivileged individuals, leading to worse health outcomes.

How does an insurance chatbot increase my conversion rate?

When another chatbot was developed based on the structured association technique counseling method, the user’s motivation was enhanced, and stress was reduced [83]. Similarly, a graph-based chatbot has been proposed to identify the mood of users through sentimental analysis and provide human-like responses to comfort patients [84]. Vivobot (HopeLab, Inc) provides cognitive and behavioral interventions to deliver positive psychology skills and promote well-being. This psychiatric counseling chatbot was effective in engaging users and reducing anxiety in young adults after cancer treatment [40]. The limitation to the abovementioned studies was that most participants were young adults, most likely because of the platform on which the chatbots were available.

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