23 Top Real-Life Chatbot Use Cases That Work 2024

With an AI chatbot, patients can send a message to your clinic, asking to book, reschedule, or cancel appointments without the hassle of waiting on hold for long periods of time. Using an AI chatbot can make the entire experience more personal and give them the impression they are speaking with a human. Moreover, by integrating your WhatsApp chatbot with RPA and other automation systems, insurance claim processing and healthcare billing can be automated.

But, In the realm of research in medical sciences, artificially intelligent systems have become integral. Their prevalent applications encompass patient diagnosis, comprehensive drug discovery and development, and even the transcription of medical documents such as prescriptions. One of the major concerns regarding Conversational AI in the healthcare sector is the potential of breaching patient privacy. As AI-powered chatbots become more prevalent in healthcare settings, there is a risk that sensitive patient information could be accessed or shared without proper consent or security measures in place. This could result in serious consequences for patient confidentiality and trust in the healthcare system. These might seem like small tasks, but they can be barriers for many patients.

On the other hand, if you aim to offer patients a more human-like, interactive experience, an AI-powered chatbot is the preferred option. Healthcare institutions may need to invest time and resources into machine learning techniques or train a dedicated model to ensure the accuracy of their chatbot’s responses. Patients often visit healthcare websites looking for answers to their questions. The healthcare sector started to get interested in these solutions during COVID-19 pandemic, where customer service teams and hotlines were overwhelmed.

Bottom line

AI chatbots in the healthcare industry are great at automating everyday responsibilities in the healthcare setting. Medical chatbots are a great way to provide patients with the info and data they need efficiently and conveniently. They can help you provide better healthcare at lower costs, which every healthcare organisation should look into.

Chatbots in the healthcare industry provide support by recommending coping strategies for various mental health problems. This can help the facility avoid cases where bills were sent to patients with no coverage. A chatbot can also help a healthcare facility determine what types of insurance plans they accept and how much they will reimburse for specific services or procedures. This is especially important for cases where the facilities that care for patients with multiple insurance providers, as it is easier to track which ones cover particular health services and which don’t. Collecting patient health data is crucial to provide proper medical care in the healthcare industry.

What is the future of healthcare chatbots?

Both of these use cases of chatbots can help you increase sales and conversion rates. AI chatbots for online invoicing help hospital admins digitize billing processes. AI chatbots for billing automate the billing process and saves time of resources. Further, besides functioning as medication reminders, the best healthcare apps for Android and iPhone with chatbot facilities will help users to better manage their prescription refills. In particular, in this COVID situation, AI-powered symptom-tracking mobile apps with in-app Chatbot functionality are helping people to identify the infection type and get medical advice online.

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. When you are ready to invest in conversational AI, you can identify the top vendors using our data-rich vendor list on voice AI or chatbot platforms. Although the internet is an amazing source of medical information, it does not provide personalized advice. She creates contextual, insightful, and conversational content for business audiences across a broad range of industries and categories like Customer Service, Customer Experience (CX), Chatbots, and more.

Depending on the specific use case scenario, chatbots possess various levels of intelligence and have datasets of different sizes at their disposal. The five aforementioned examples highlight how healthcare providers can leverage Conversational AI as a powerful tool for information dissemination and customer care automation. But we’ve barely started to grasp the true transformative impact of this technology on the healthcare sector. It fosters a data-driven culture in healthcare that empowers both care providers and patients to make informed decisions.

So, how do healthcare centers and pharmacies incorporate AI chatbots without jeopardizing patient information and care? In this blog we’ll walk you through healthcare use cases you can start implementing chatbot healthcare use cases with an AI chatbot without risking your reputation. In most industries it’s quite simple to create and deploy a chatbot, but for healthcare and pharmacies, things can get a little tricky.

Both practitioners as well as patients, can highly benefit from this implementation. A couple of years back, no one could have even fathomed the extent to which chatbots could be leveraged. This is a simple website chatbot for dentists to help book appointments and showcase different services and procedures. With the chatbot remembering individual patient details, patients can skip the need to re-enter their information each time they want an update. This feature enables patients to check symptoms, measure their severity, and receive personalized advice without any hassle. When it is your time to look for a chatbot solution for healthcare, find a qualified healthcare software development company like Appinventiv and have the best solution served to you.

If you’re considering integrating a chatbot into your healthcare services, look no further than Onix. With their deep expertise and experience developing customized chatbots for specific healthcare needs, Onix can craft solutions tailored to your organization. Don’t miss the opportunity to leverage the potential of chatbots in healthcare—reach out to Onix today and revolutionize how you provide care and support to your patients. As these trends continue to unfold, healthcare chatbots will play an integral role in shaping the future of healthcare, providing accessible, personalized, and efficient services to patients worldwide. Future healthcare chatbots will excel in natural language understanding, enabling them to engage in more nuanced and context-aware conversations.

Once this has been done, you can proceed with creating the structure for the chatbot. All these platforms, except for Slack, provide a Quick Reply as a suggested action that disappears once clicked. Users choose quick replies to ask for a location, address, email, or simply to end the conversation. 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. This concept is described by Paul Grice in his maxim of quantity, which depicts that a speaker gives the listener only the required information, in small amounts.

In this regard, a conversation with an AI Assistant would efficiently substitute the initial phone call you might make to your doctor to discuss your concerns, before making an in-person appointment. In the domain of mental health, chatbots like Woebot use CBT techniques to offer emotional support and mental health exercises. These chatbots engage users in therapeutic conversations, helping them cope with anxiety, depression, and stress.

While AI and chatbots have significantly improved in terms of accuracy, they are not yet at a point where they can replace human healthcare professionals. They serve as a supplemental tool to provide guidance and information based on pre-programmed responses or machine learning algorithms. Conversational AI has the potential to aid both doctors and patients in terms of medication management and adherence. In healthcare, AI-powered chatbots evaluate your patients’ lifestyle behaviors, preferences, and medical history to produce tailored daily reminders and guidance.

AI-powered Chabot application is one such invention that is transforming the healthcare industry in many ways. Today, we would like to talk about how the healthcare sector is benefiting by adopting the AI Chatbot feature. Find a qualified healthcare software development company like Strivemindz when you need a chatbot solution for healthcare.

Therefore, a healthcare provider can dedicate a chatbot to answer a patient’s most common questions. Issues relating to insurance, such as questions about insurance coverage, filing claims, and proof of illness, can be solved via a chatbot. Enterprises worldwide believe that healthcare chatbot use cases are poised to create a paradigm shift in B2B & B2C interactions. One of the most common healthcare chatbot use cases is providing medical information. You can foun additiona information about ai customer service and artificial intelligence and NLP. These AI-based algorithms train on vast healthcare data, including information about diseases, diagnoses, treatments, and potential markers.

Before flu season, launch a campaign to help patients prevent colds and flu, send out campaigns on heart attacks in women, strokes, or how to check for breast lumps. These campaigns can be sent to relevant audiences that will find them useful and can help patients become more aware and proactive about their health. The bot will then retrieve the information from the system, putting important operational data at their fingertips. This improves team collaboration while reducing delays caused by interdependence between teams.

Some symptoms may indicate something dangerous that demands immediate attention. Conversational AI combines advanced automation, artificial intelligence, and natural language processing (NLP) to enable robots to comprehend and respond to human language. 69% of customers prefer communicating with chatbots for simpler support queries. Real time chat is now the primary way businesses and customers want to connect. In addition, nursing schools can use chatbots in place of humans to schedule appointments during non-school hours. For example, a school nurse could schedule doctor visits for sports injuries at 9 p.m., once offices have closed for the day but still provide access and care before school starts again in the morning.

By implementing conversational AI chatbot healthcare, you may save and extract patient data including name, address, symptoms, current doctor and treatment, insurance info, and signs and symptoms. Generative AI in healthcare offers the potential to formulate personalized treatment plans by analyzing vast patient datasets. Combined with conversational AI, it promises to elevate the patient experience, merging immediate communication with tailored healthcare insights. The use of chatbots in healthcare helps improve the performance of medical staff by enabling automation. However, chatbots in healthcare still can make errors when providing responses.

What are some real-world applications of healthcare chatbots?

Now, let’s explore the main applications of artificial intelligence chatbots in healthcare in more detail. This way, clinical chatbots help medical workers allocate more time to focus on patient care and more important tasks. Discover what they are in healthcare and their game-changing potential for business. A chatbot can verify insurance coverage data for patients seeking treatment from an emergency room or urgent care facility. This will allow the facility to bill the correct insurance company for services rendered without waiting for approval from the patient’s insurance provider.

An AI chatbot can be integrated with third-party software, enabling them to deliver proper functionality. How do we deal with all these issues when developing a clinical chatbot for healthcare? The CodeIT team has solutions to tackle the major text bot drawbacks, perfect for businesses like yours. We adhere to HIPAA and GDPR compliance standards to ensure data security and privacy. Our developers can create any conversational agent you need because that’s what custom healthcare chatbot development is all about.

When a patient checks into a hospital with a time-sensitive ailment the chatbot can offer information about the relevant doctor, the medical condition and history and so on. When a patient checks into a hospital with a time-sensitive ailment, the chatbot can offer information about the relevant doctor, the medical condition and history, and so on. Chatbots can be trained to send out appointment reminders and notifications, such as medicine alerts. Advanced chatbots can also track various health parameters and alert patients in case immediate medical intervention is required.

They are likely to become ubiquitous and play a significant role in the healthcare industry. While healthcare professionals can only attend to one patient at a time, chatbots can engage and assist multiple customers simultaneously without compromising the quality of interaction or information provided. Undoubtedly, medical chatbots will become more accurate, but that alone won’t be enough to ensure their successful acceptance in the healthcare industry. As the healthcare industry is a mix of empathy and treatments, a similar balance will have to be created for chatbots to become more successful and accepted in the future. Therefore, a healthcare chatbot can offer patients an easy way to obtain pertinent information, whether they wish to verify their current coverage, file for claims, or track the status of a claim.

Chatbots have become indispensable tools in healthcare organizations, from offering medical advice to managing appointments and providing emotional support. To create highly personalized healthcare plans, healthcare chatbots will analyze patient data, including medical history, genetic information, lifestyle choices, and real-time health metrics. These plans will include tailored advice on diet, exercise, medication, and preventive measures, optimizing patient outcomes.

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). Let’s take a moment to look at the areas of healthcare where custom medical chatbots have proved their worth. These health chatbots are better capable of addressing the patient’s concerns since they can answer specific questions.

• In addition, patients have the tools and information available on their fingertips to manage their own health.
• Conversational AI, by enabling features like MyChart account creation and password reset, serves this exact purpose.
• In addition to taking care of administrative tasks such as maintaining digital health records, healthcare chatbots can help patients schedule therapy themselves.
• Studies show companies with wellness programs have fewer employee illnesses and are less likely to be hit with massive health care costs.

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. And the easiest way to ask for feedback is by implementing chatbots on your website so they can do the collecting for you.

The challenge here for software developers is to keep training chatbots on COVID-19-related verified updates and research data. As researchers uncover new symptom patterns, these details need to be integrated into the ML training data to enable a bot to make an accurate assessment of a user’s symptoms at any given time. Recently the World Health Organization (WHO) partnered with Ratuken Viber, a messaging app, to develop an interactive chatbot that can provide accurate information about COVID-19 in multiple languages. With this conversational AI, WHO can reach up to 1 billion people across the globe in their native languages via mobile devices at any time of the day. Let’s create a contextual chatbot called E-Pharm, which will provide a user – let’s say a doctor – with drug information, drug reactions, and local pharmacy stores where drugs can be purchased.

They gather and store patient data, ensure its encryption, enable patient monitoring, offer a variety of informative support, and guarantee larger-scale medical help. Healthcare chatbots are intelligent assistants used by medical centers and medical professionals to help patients get assistance faster. They can help with FAQs, appointment booking, reminders, and other repetitive questions or queries that often overload medical offices. You can use your bot to send test results to your patients so they don’t have to collect them in person. Your patients can also use healthcare chatbots on WhatsApp to check the price of different tests and keep a track of their pending medical reports.

There are patients who wouldn’t prefer to have a chat about their medical issues with a bot. Therefore, chatbots are one of the reasons behind patients feeling detached from their healthcare professionals. Handling billings and claims in a medical institute is a very tedious and ongoing process. Therefore, the majority of the institutes keep healthcare AI bots that can help in checking the present coverage of the patient’s insurance, help to file claims, and track those claims’ status. For patients who require healthcare support regularly, chatbots are really beneficial as they help patients in having an effective connection with the doctors.