23 Top Real-Life Chatbot Use Cases That Work 2024

8 Settembre 2023

Artificial IntelligenceNo Comments

Benefits of Chatbots in Healthcare: 9 Use Cases of Healthcare Chatbots

Healthcare chatbots play a crucial role in initial symptom assessment and triage. They ask patients about their symptoms, analyze responses using AI algorithms, and suggest whether immediate medical attention is required or if home care is sufficient. Chatbots will play a crucial role in managing mental health issues and behavioral disorders.

Instagram bots and Facebook chatbots can help you with your social media marketing strategy, improve your customer relations, and increase your online sales. In fact, nearly 46% of consumers expect bots to deliver an immediate response to their questions. Also, getting a quick answer is also the number one use case for chatbots according to customers.

What are some real-world applications of healthcare chatbots?

Healthcare providers can handle medical bills, insurance dealings, and claims automatically using AI-powered chatbots. Chatbots also support doctors in managing charges and the pre-authorization process. A conversational bot can examine the patient’s symptoms and offer potential diagnoses.

They can provide information on aspects like doctor availability and booking slots and match patients with the right physicians and specialists. The global healthcare chatbots market accounted for $116.9 million in 2018 and is expected to reach a whopping $345.3 million by 2026, registering a CAGR of 14.5% from 2019 to 2026. The provision of behavior support is another promising area for chatbot use cases.

Doctors can receive regular automatic updates on the symptoms of their patients’ chronic conditions. Livongo streamlines diabetes management through rapid assessments and unlimited access to testing strips. Cara Care provides personalized care for individuals dealing with chronic gastrointestinal issues. These health chatbots are better capable of addressing the patient’s concerns since they can answer specific questions. Depending on the specific use case scenario, chatbots possess various levels of intelligence and have datasets of different sizes at their disposal. Medical chatbots might pose concerns about the privacy and security of sensitive patient data.

How are medical chatbots giving healthcare systems an advantage?

Healthcare chatbots use cases include monitoring, anonymity, personalisation, real-time interaction, and scalability etc. Leveraging chatbot for healthcare help to know what your patients think about your hospital, doctors, treatment, and overall experience through a simple, automated conversation flow. Using chatbots for healthcare helps patients to contact the doctor for major issues.

From setting appointment reminders and facilitating document submission to providing round-the-clock patient support, these digital assistants are enhancing the healthcare experience for both providers and patients. The story was once again set to change when conversational AI-powered medical chatbots or healthcare chatbots made their appearance. Sure, several businesses were already using chatbots to power a number of customer-facing operations, but for healthcare, this meant something completely new. The ability to offer proactive healthcare services rather than reactive healthcare systems. We identified 6 broad use-case categories and 15 use cases where chatbots were deployed in the Covid-19 public health response. They can easily be deployed on different platforms and have easy-to-use conversational interfaces that enable broad reach and access to different demographics.

Automating prescription refills with the use of chatbots

Last but not least, the 4th top use case for AI healthcare chatbots is medication reminders. These automated chatbot medical assistants can send you timely reminders for many things, including medication schedules, instructions for dosages, and potential interactions between drugs you’re taking. Another top use of chatbots in healthcare is in the sphere of appointment scheduling. This way, you don’t need to call your healthcare provider to get an appointment anymore. While most people would use Google and probably misdiagnose themselves, Buoy has come up with a solution.

The chatbot was successful in reducing women’s concerns about weight and shape through a 6-month follow-up and it may actually reduce eating disorder onset. What matters is how establishments use these tools to drive actionable insights for clinicians and patients. The endpoint of any AI application is to make things work together in terms of money, time, and overall experience. When it comes to custom development, there are a number of third-party vendors that can assist with creating chatbots for almost any use case and with customizations of your choice. On the one hand, the demand for highly affordable and quality healthcare is on the rise.

As we navigate the evolving landscape of healthcare, the integration of AI-driven chatbots marks a significant leap forward. These digital assistants are not just tools; they represent a new paradigm in patient care and healthcare management. Embracing this technology means stepping into a future where healthcare is more accessible, personalized, and efficient. The journey with healthcare chatbots is just beginning, and the possibilities are as vast as they are promising. As AI continues to advance, we can anticipate an even more integrated and intuitive healthcare experience, fundamentally changing how we think about patient care and healthcare delivery.

We recommend using ready-made SDKs, libraries, and APIs to keep the chatbot development budget under control. This practice lowers the cost of building the app, but it also speeds up the time to market significantly. Rasa offers a transparent system of handling and storing patient data since the software developers at Rasa do not have access to the PHI. All the tools you use on Rasa are hosted in your HIPAA-complaint on-premises system or private data cloud, which guarantees a high level of data privacy since all the data resides in your infrastructure. This data will train the chatbot in understanding variants of a user input since the file contains multiple examples of single-user intent. Identifying the context of your audience also helps to build the persona of your chatbot.

What’s more—bots build relationships with your clients and monitor their behavior every step of the way. This provides you with relevant data and ensures your customers are happy with their experience on your site. You can use chatbots to guide your customers through the marketing funnel, all the way to the purchase. Bots can answer all the arising questions, suggest products, and offer promo codes to enrich your marketing efforts. GDPR compliance requires an active patient’s consent before storing any of their personal information in the database.

If you want your company to benefit financially from AI solutions, knowing the main chatbot use cases in healthcare is the key. Let’s check how an AI-driven chatbot in the healthcare industry works by exploring its architecture in more detail. Healthily is an AI-enabled health-tech platform that offers patients personalized health information through a chatbot. From generic tips to research-backed cures, Healthily gives patients control over improving their health while sitting at home.

It not only improves patient access to immediate health advice but also helps streamline emergency room visits by filtering non-critical cases. As they interact with patients, they collect valuable health data, which can be analyzed to identify trends, optimize treatment plans, and even predict health risks. This continuous collection and analysis of data ensure that healthcare providers stay informed and make evidence-based decisions, leading to better patient care and outcomes. In the near future, healthcare chatbots are expected to evolve into sophisticated companions for patients, offering real-time health monitoring and automatic aid during emergencies.

Currently, and for the foreseeable future, these chatbots are meant to assist healthcare providers – not replace them altogether. At the end of the day, human oversight is required to minimize the risk of inaccurate diagnoses and more. The best healthcare chatbots available today have different missions, and consequently, different pros and cons. If you’re interested in learning about an alternative source of medical advice or simply want to learn about the top health chatbots that exist today, let us show you the way. These healthcare-focused solutions allow developing robust chatbots faster and reduce compliance and integration risks. Vendors like Orbita also ensure appropriate data security protections are in place to safeguard PHI.

And this is one of the chatbot use cases in healthcare that can be connected with some of the other medical chatbot’s features. Oftentimes, your website visitors are interested in purchasing your products or services but need some assistance to make that final step. You can use bots to answer potential customers’ questions, give promotional codes to them, and show off your “free shipping” offer.

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. Conversational chatbots are built to be contextual tools that respond based on the user’s intent.

However, humans rate a process not only by the outcome but also by how easy and straightforward the process is. Similarly, conversations between men and machines are not nearly judged by the outcome but by the ease of the interaction. Klarna has also seen massive improvement in communication with local immigrant and expat communities across all our markets thanks to the language support. While launching its AirMax Day shoes, Nike increased its average CTR by 12.5 times and the conversions four times with the help of StyleBot- Nike’s chatbot. But, these aren’t all the ways you can use your bots as there are hundreds of those depending on your company’s needs.

Cem’s work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School. Chatbots are integrated into the medical facility database to extract information about suitable physicians, available slots, clinics, and pharmacies  working days.

Appendix 2 shows the chatbot use-case combinations for the 15 use cases we identified. Hospitals can use chatbots for follow-up interactions, ensuring adherence to treatment plans and minimizing readmissions. Gathering user feedback is essential to understand how well your chatbot is performing and whether it meets user demands. Collect information about issues reported by users and send it to software engineers so that they can troubleshoot unforeseen problems.

With a CAGR of 15% over the upcoming couple of years, the healthcare chatbot market growth is astonishing. Chatbots like Docus.ai can even validate these diagnoses with top healthcare professionals from the US and Europe. We’ll tell you about the top chatbots in medicine today, along with their pros and cons. On top of all that, we’ll discuss the use cases that these chatbots can have. As a bonus, we’ll also cover the ambiguous future of AI-powered medical chatbots.

And chatbots can help you educate shoppers easily and act as virtual tour guides for your products and services. They can provide a clear onboarding experience and guide your customers through your product from the start. From the patient’s perspective, many chatbots have been designed for symptom screening and self-diagnosis.

• Livi can provide patients with information specific to them, help them find their test results.
• Bots answer them in seconds and only route the more complex chats to specific agents.
• It is safe to say that as we seem to reach the end of the tunnel with the COVID-19 pandemic, chatbots are here to stay, and they play an essential role when envisioning the future of healthcare.
• With abundant benefits and rapid innovation in conversational AI, adoption is accelerating quickly.
• Think about it—unless a person understands how your service works, they won’t use it.

A chatbot can monitor available slots and manage patient meetings with doctors and nurses with a click. As for healthcare chatbot examples, Kyruus assists users in scheduling appointments with medical professionals. Chatbot solution for healthcare industry is a program or application designed to interact with users, particularly patients, within the context of healthcare services. They can be powered by AI (artificial intelligence) and NLP (natural language processing). In the future, healthcare chatbots will get better at interacting with patients. The industry will flourish as more messaging bots become deeply integrated into healthcare systems.

As long as your chatbot will be collecting PHI and sharing it with a covered entity, such as healthcare providers, insurance companies, and HMOs, it must be HIPAA-compliant. The NLU is the library for natural language understanding that does the intent classification and entity extraction from the user input. This breaks down the user input for the chatbot to understand the user’s intent and context. The Rasa Core is the chatbot framework that predicts the next best action using a deep learning model. A user interface is the meeting point between men and computers; the point where a user interacts with the design. A drug bot answering questions about drug dosages and interactions should structure its responses for doctors and patients differently.

Today, a number of healthcare organizations are using medical chatbots to automate the entire process of appointment booking and collecting patient information. Through simple interfaces and precise statements, chatbots are capable of collecting basic information such as name, contact details, previous medical history, etc. For instance, a healthcare chatbot uses AI to evaluate symptoms against a vast medical database, providing patients with potential diagnoses and advice on the next steps.

A medical facility’s desktop or mobile app can contain a simple bot to help collect personal data and/or symptoms from patients. By automating the transfer of data into EMRs (electronic medical records), a hospital will save resources otherwise spent on manual entry. An important thing to remember here is to follow HIPAA compliance protocols for protected health information (PHI). Stay on this page to learn what are chatbots in healthcare, how they work, and what it takes to create a medical chatbot.

Real time chat is now the primary way businesses and customers want to connect. At REVE Chat, we have extended the simplicity of a conversation to feedback. You can foun additiona information about ai customer service and artificial intelligence and NLP. Chatbot for healthcare help providers effectively bridges the communication and education gaps.

The bots are available 24x7x365, which allows them to initiate the conversation proactively and prevent customers from waiting for long. Quicktext is a popular AI-powered chatbot for hotels that automatically handles 85% of guests in 24 languages and delivers instant response to customer requests across six different channels. In addition, it serves as a messaging hub where hospitality businesses can centrally manage Live Chat, WhatsApp, Facebook Messenger, chatbot use cases in healthcare WeChat, SMS, and Booking.com communications. It helps customers conduct simple actions such as paying bills, receiving credit report updates, view e-statements, and seek financial advice. Recently, Erica’s capabilities have been updated to enable clients to make smarter financial decisions by providing them with personalized insights. Thanks to its budgeting capabilities, Erica users grew to 12.2 million in Q compared to 10.3 million in Q4 2019.