5 Healthcare Chatbot Use Cases in 2023 + Examples

It’s obvious that if you don’t know about some of the features that the chatbot provides, you won’t be able to use them. But you would be surprised by the number of businesses that use only the primary features of their chatbot because they don’t know any better. So, if you want to be able to use your bots to the fullest, you need to be aware of all the functionalities. This chatbot simplifies banking operations and delivers great value to users. The bot performs banking activities, such as checking balance, funds transfers, and bill payments. It can also provide information about spending trends and credit scores for a full account analysis view.

This enables medical services to intervene earlier on in cases where a patient may be at risk of developing a mental health condition or require further support. Chatbots can also provide healthcare advice about common ailments or share resources such as educational materials and further information about other healthcare services. This means that they are incredibly useful in healthcare, transforming the delivery of care and services to be more efficient, effective, and convenient for both patients and healthcare providers. Since chatbots are programs, they can be accessible to patients around the clock. Patients might need help to identify symptoms, schedule critical appointments and so on.

Case in point, people recently started noticing their conversations with Bard appear in Google's search results. This means Google started indexing Bard conversations, raising privacy concerns among its users. You can foun additiona information about ai customer service and artificial intelligence and NLP. So, despite the numerous benefits, the chatbot implementation in healthcare comes with inherent risks and challenges. This AI-driven technology can quickly respond to queries and sometimes even better than humans.

These mental health chatbots increase access to support and show promising results comparable to human-led treatment based on early studies. Studies show that chatbots in healthcare are expected to grow at an exponential rate of 19.16% from 2022 to 2030. This growth can be attributed to the fact that chatbot technology in healthcare is doing more than having conversations. The market is brimming with technology vendors working on AI models and algorithms to enhance healthcare quality.

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Even with how advanced chatbots have gotten, a real, living, breathing human being is not so easy to replace. Ada is an app-based symptom checker created by medical professionals, featuring a comprehensive medical library on the app. QliqSOFT offers a chatbot to assist patients with their post-discharge care.

Since medical chatbots learn from the training data they were given, the projections of this data can lead to inequalities and inaccuracies. Therefore, the biggest challenge that healthcare chatbot developers face is ensuring the accuracy of responses. Between the appointments, feedback, and treatments, you still need to ensure that your bot doesn’t forget empathy. Just because a bot is a..well bot, doesn’t mean it has to sound like one and adopt a one-for-all approach for every visitor. An FAQ AI bot in healthcare can recognize returning patients, engage first-time visitors, and provide a personalized touch to visitors regardless of the type of patient or conversation.

Healthcare chatbots can help patients avoid unnecessary lab tests and other costly treatments. Instead of having to navigate the system themselves and make mistakes that increase costs, patients can let healthcare chatbots guide them through the system more effectively. Use cases for healthcare chatbots vary from diagnosis and mental health support to more routine tasks like scheduling and medication reminders.

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Chatbots significantly simplify the process of scheduling medical appointments. Patients can interact with the chatbot to find the most convenient appointment times, thus reducing the administrative burden on hospital staff. AI chatbots remind patients of upcoming appointments and medication schedules. By ensuring that patients attend their appointments and adhere to their treatment plans, these reminders help enhance the effectiveness of healthcare.

Doing the opposite may leave many users bored and uninterested in the conversation. One of the key elements of an effective conversation is turn-taking, and many bots fail in this aspect. A friendly and funny chatbot may work best for a chatbot for new mothers seeking information about their newborns. Still, it may not work for a doctor seeking information about drug dosages or adverse effects. Our consulting team will carefully review your responses and craft a personalized maturity report.

It is also one of the most rapidly-changing industries, with new technologies being introduced annually for the patient and the customer alike. Chatbots have already been used, many a time, in various ways within this industry, but they could potentially be used in even more innovative ways. As healthcare continues to rapidly evolve, health systems must constantly look for innovative ways to provide better access to the right care at the right time. Applying digital technologies, such as rapidly deployable chat solutions, is one option health systems can use in order to provide access to care at a pace that commiserates with patient expectations. The truth is that chatbots have been helping healthcare systems solve some of the biggest challenges with ensuring affordable and transparent healthcare. Your healthcare business is likely to be available on multiple channels such as websites, Facebook, WhatsApp, etc.

Chatbots can help users check their account balance, transfer money to other accounts, view the history of transactions, or even locate the closest ATM. This will help healthcare professionals see the long-term condition of their patients and create a better treatment for them. Also, the person can remember more details to discuss during their appointment with the use of notes and blood sugar readings. Letting chatbots handle some sales of your services from social media platforms can increase the speed of your company’s growth. Voice bots facilitate customers with a seamless experience on your online store website, on social media, and on messaging platforms.

As if the massive spike in patient intake and overworked health practitioners were not enough, healthcare professionals were battling with yet another critical aspect. If the condition is not too severe, a chatbot can help by asking a few simple questions and comparing the answers with the patient’s medical history. A chatbot like that can be part of emergency helper software with broader functionality. The chatbot called Aiden is designed to impart CPR and First Aid knowledge using easily digestible, concise text messages.

The chatbot can collect patients’ phone numbers and even enable patients to get video consultations in cases where they cannot travel to their nearest healthcare provider. Both practitioners as well as patients, can highly benefit from this implementation. Healthcare practices can equip their chatbots to take care of basic queries, collect patient information, and provide health-related information whenever needed.

In case of a medical chatbot, they can be designed so that they are available for your patients even outside regular business hours. And that’s one of the biggest problems that healthcare chatbots are currently solving. This ensured that those patients at immediate risk were given the care they needed while patients with milder symptoms were systematically monitored from their homes, reducing the load on healthcare systems in general. A medical chatbot or a healthcare chatbot is nothing but a conversational AI-powered solution specifically designed to make healthcare much more interactive and proactive. Yes, there are mental health chatbots like Youper and Woebot, which use AI and psychological techniques to provide emotional support and therapeutic exercises, helping users manage mental health challenges. To create a healthcare chatbot, you can use platforms like Yellow.ai, which provide tools for building AI-powered chatbots with customizable features, integration capabilities, and compliance with healthcare regulations.

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It is also important to note that costs can vary depending on the customizations you choose. The first thing that probably comes to mind when we are talking about building or developing a chatbot, especially one designed for healthcare systems, is – How am I going to develop such a chatbot? Maybe I need to start working with my developers to understand how or even if they can build out such a chatbot. Let’s explore a few different uses of ChatGPT in the healthcare sector and discuss the benefits that this revolutionary technology offers to patients, doctors, and researchers. Chatbots will not replace doctors in medicine anytime soon, but they will likely become indispensable tools in patient care as AI continues to undergo major breakthroughs. While there are some challenges left to be addressed, we’re more than excited to see how the future of chatbots in healthcare unfolds.

AI-powered healthcare chatbots are capable of handling simple inquiries with ease and provide a convenient way for users to research information. In many cases, these self-service tools are also a more personal way of interacting with healthcare services than browsing a website or communicating with an outsourced call center. In fact, according to Salesforce, 86% of customers would rather get answers from a chatbot than fill out a website form.

Now you’re curious about them and the question “what are chatbots used for, anyway? Chatbots can ask a new worker the required questions and help him fill out necessary papers. After that, a bot can provide completed documents for a person to sign or send straight to the HR department.

To ensure full protection of patient’s data, companies should use the highest security practices like data encryption, and “on-premise” deployment. Thanks to AI, chatbot use cases can include even more significant work, like partial doctor-to-patient communication without human intervention. Chatbots and voice assistants can help doctors to create documents or reports during patient’s examination. In daily medical practice, voice assistants can help to fill out papers like drug prescriptions and refillings, summaries of the visit, or referral letters. This way doctors will have more time for things that require their attention. Serving as the lead content strategist, Snigdha helps the customer service teams to leverage the right technology along with AI to deliver exceptional and memorable customer experiences.

• Hospitals need to take into account the paperwork, and file insurance claims, all the while handling a waiting room and keeping appointments on time.
• From Docus.ai to MedPaLM 2, these chatbots improve almost every aspect of patient care.
• Each treatment should have a personalized survey to collect the patient’s medical data to be relevant and bring the best results.
• You’ll need to define the user journey, planning ahead for the patient and the clinician side, as doctors will probably need to make decisions based on the extracted data.
• A chatbot can monitor available slots and manage patient meetings with doctors and nurses with a click.
• This efficient sorting helps in managing patient flow, especially in busy clinics and hospitals, ensuring that critical cases get timely attention and resources are optimally utilized.

And if an issue arises, the chatbot immediately alerts the bank as well as the customer. That’s why chatbots flagging up any suspicious activity are so useful for banking. Chatbots offer a variety of notifications you can set, such as minimum balance notifications, bill pay reminders, or transaction alerts.

Complexity of chatbot use case

Furthermore, Rasa also allows for encryption and safeguarding all data transition between its NLU engines and dialogue management engines to optimize data security. As you build your HIPAA-compliant chatbot, it will be essential to have 3rd parties audit your setup and advise where there could be vulnerabilities from their experience. The Health Insurance and Portability and Accountability Act (HIPAA) of 1996 is United States regulation that sets the standards for using, handling, and storing sensitive healthcare data. For example, if a chatbot is designed for users residing in the United States, a lookup table for “location” should contain all 50 states and the District of Columbia.

GYANT, HealthTap, Babylon Health, and several other medical chatbots use a hybrid chatbot model that provides an interface for patients to speak with real doctors. The app users may engage in a live video or text consultation on the platform, bypassing hospital visits. You do not design a conversational pathway the way you perceive your intended users, but with real customer data that shows how they want their conversations to be. Healthcare payers and providers, including medical assistants, are also beginning to leverage these AI-enabled tools to simplify patient care and cut unnecessary costs. Whenever a patient strikes up a conversation with a medical representative who may sound human but underneath is an intelligent conversational machine — we see a healthcare chatbot in the medical field in action.

• Serving as the lead content strategist, Snigdha helps the customer service teams to leverage the right technology along with AI to deliver exceptional and memorable customer experiences.
• Bots can answer all the arising questions, suggest products, and offer promo codes to enrich your marketing efforts.
• One of the most popular applications of chatbots within all industries is the automation of routine, time-consuming, and overly repetitive tasks.
• A set of guidelines and best practices to chatbot development vendors and to organizations by agencies such as the CDC can aid in coordinating efforts and in preparedness for the next pandemic.
• Well, you can find anything from a chatbot for medical diagnosis to chatbots for mental health support.
• You will receive a detailed report, complete with possible causes, options for the next steps, and suggested lab tests.

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. 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.

When customers interact with businesses or navigate through websites, they want quick responses to queries and an agent to interact with in real time. Inarguably, this is one of the critical factors that influence customer satisfaction and a company’s brand image (including healthcare organizations, naturally). With standalone chatbot use cases in healthcare chatbots, businesses have been able to drive their customer support experiences, but it has been marred with flaws, quite expectedly. Simple questions concerning the patient’s name, address, contact number, symptoms, current doctor, and insurance information can be used to extract information by deploying healthcare chatbots.

These include cross-selling, checking account balances, and even presenting quizzes to website visitors. The Health Insurance Portability and Accountability Act (HIPAA),  protects sensitive patient data. A company that deals with protected health information (PHI) must follow the required physical, network, and process security measures. To make the idea go live, you could go along with a chatbot development company.

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. This helps doctors focus on their patients instead of administrative duties like calling pharmacies or waiting for them to call back.

No matter how much you try to use a bot, it won’t satisfy your needs if you pick the wrong provider. Every customer wants to feel special and that the offer you’re sending is personalized to them. No wonder the voice assistance users in the US alone reached over 120 million in 2021. Also, ecommerce transactions made by voice assistants are predicted to surpass $19 billion in 2023.

Chatbots and conversational AI have enormous potential to transform healthcare delivery. As a healthcare leader, you may be wondering about the top use cases for implementing chatbots and how they can benefit your organization specifically. A chatbot symptom checker leverages Natural Language Processing to understand symptom description and ultimately guides the patients through a relevant diagnostic pursuit. After the bot collects the history of the present illness, machine learning algorithms analyze the inputs to provide care recommendations. Appointment scheduling via a chatbot significantly reduces the waiting times and improves the patient experience, so much so that 78% of surveyed physicians see it as a chatbot's most innovative and useful application. Zydus Hospitals, which is one of the biggest hospital chains in India and our customer did exactly the same.

Daunting numbers and razor-thin margins have forced health systems to do more with less. Many are finding that adding an automation component to the innovation strategy can be a game-changer by cost-effectively improving operations throughout the organization to the benefit of both staff and patients. Embracing new technologies – such as robotic process automation enabled with chatbots – is key to achieving the interdependent goals of reducing costs and serving patients better. Complex conversational bots use a subclass of machine learning (ML) algorithms we’ve mentioned before — NLP. In order to effectively process speech, they need to be trained prior to release. As patients continuously receive quick and convenient access to medical services, their trust in the chatbot technology will naturally grow.