Top 10 Chatbots in Healthcare: Insights & Use Cases in 2023

Therefore, it has become necessary to leverage digital tools that disseminate authoritative healthcare information to people across the globe. Babylon Health offers AI-driven consultations with a virtual doctor, a patient chatbot, and a real doctor. The higher the intelligence of a chatbot, the more personal responses one can expect, and therefore, better customer assistance. And there are many more chatbots in medicine developed today to transform patient care.

And research shows that bots are effective in resolving about 87% of customer issues. About 80% of customers delete an app purely because they don’t know how to use it. That’s why customer onboarding is important, especially for software companies.

While social media engages audiences, messaging platforms enable businesses to have a one-on-one conversation with their customers. So, by integrating chatbots with your messaging platform, you could eliminate the need to build a new app and save time and money. Chatbots like Healthily prevent patients from waiting in long queues or relying on phone calls to consult doctors. With the ongoing pandemic, chatbots are making patients feel less anxious about seeking medical care. Conversational AI consultations are based on a patient’s previously recorded medical history.

Provide medical information

Software engineers have to develop a chatbot’s logic and implement use cases. Create user interfaces for the chatbot if you plan to use it as a distinctive application. Physicians worry about how their patients might look up and try cures mentioned on dubious online sites, but with a chatbot, patients have a dependable source to turn to at any time. 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.

On the other hand, HIPAA compliance allows healthcare companies to freely process patient’s data while it is being stored and transmitted with proper security standards. Unlike GDPR, HIPAA regulation doesn’t give a patient a right to erase their records from a hospital’s database anytime they want. Chatbots can help healthcare enterprises build a new experience inside the difficult organizational structure.

References to case numbers below refer to the corresponding chatbots in Appendix 1. We searched PubMed/MEDLINE, Web of Knowledge, and Google Scholar in October 2020 and performed a follow-up search in July 2021. Chatbots, their use cases, and chatbot design characteristics were extracted from the articles and information from other sources and by accessing those chatbots that were publicly accessible. To identify chatbot use cases deployed for public health response activities during the Covid-19 pandemic.

Cancer Chatbot

By sending timely reminders and tracking medication schedules, they ensure that patients follow their prescribed treatments effectively. This consistent medication management is particularly crucial for chronic disease management, where adherence to medication is essential for effective treatment. Healthcare chatbots can locate nearby medical services or where to go for a certain type of care. For example, a person who has a broken bone might not know whether to go to a walk-in clinic or a hospital emergency room. They can also direct patients to the most convenient facility, depending on access to public transport, traffic and other considerations.

• Voice bots facilitate customers with a seamless experience on your online store website, on social media, and on messaging platforms.
• Reaching beyond the needs of the patients, hospital staff can also benefit from chatbots.
• This is especially useful in areas such as epidemiology or public health, where medical personnel need to act quickly in order to contain the spread of infectious diseases or outbreaks.

Both custom development as well as the DIY approach has their own advantage. While the DIY approach would help you save on pricing, it can be challenging and time-consuming when it comes to building advanced functionalities and customizations. However, for a business just starting out and having very minimal requirements from chatbots, the DIY approach is a good way to test out the waters.

Collect patients’ data and feedback

As a foundational pillar of modern society, healthcare is probably one of the most important industries there is today. Contact us today to learn how Lucidworks can help your team create powerful search and discovery applications for your customers and employees. The Global Healthcare Chatbots Market, valued at USD 307.2 million in 2022, is projected to reach USD 1.6 billion by 2032, with a forecasted CAGR of 18.3%. In the United States alone, more than half of healthcare leaders, 56% to be precise, noted that the value brought by AI exceeded their expectations. Also, it’s required to maintain the infrastructure to ensure the large language model has the necessary amount of computing power to process user requests. Quality assurance specialists should evaluate the chatbot’s responses across different scenarios.

• “We are incredibly excited about this launch, but it also underscores the profound impact on society that AI will have.
• Whenever team members need to check the availability or the status of equipment, they can simply ask the bot.
• Healthcare chatbots revolutionize patient interaction by providing a platform for continuous and personalized communication.

To do that, the application must employ NLP algorithms and have the latest knowledge base to draw insights. With so many algorithms and tools around, knowing the different types of chatbots in healthcare is key. This will help you to choose the right tools or find the right experts to build a chat agent that suits your users’ needs. The Physician Compensation Report states that, on average, doctors have to dedicate 15.5 hours weekly to paperwork and administrative tasks. With this in mind, customized AI chatbots are becoming a necessity for today’s healthcare businesses. The technology takes on the routine work, allowing physicians to focus more on severe medical cases.

Benefits of chatbots or conversational AI in healthcare

A thorough research of LLMs is recommended to avoid possible technical issues or lawsuits when implementing a new artificial intelligence chatbot. For example, ChatGPT 4 and ChatGPT 3.5 LLMs are deployed on cloud servers that are located in the US. Hence, per the GDPR law, AI chatbots in the healthcare industry that use these LLMs are forbidden from being used in the EU. They simulate human activities, helping people search for information and perform actions, which many healthcare organizations find useful. Chatbot becomes a vital point of communication and information gathering at unforeseeable times like a pandemic as it limits human interaction while still retaining patient engagement.

Patients can even book video appointments without having to download the app, making it one of the most friendly solutions in the market. The chatbot for the app, powered by Kommunicate, is primarily used to collect phone numbers. Using these phone numbers, the support team at Navia can ensure that no lead that visits the app falls through the cracks. From care-giving tips to understanding how to handle someone who has just undergone chemotherapy to other free services, the chatbot is instrumental in trying to make the lives of affected patients and families easier. Powered by Kommunicate, Pearl is a conversational AI-powered virtual assistant leveraged by Amgen, a multinational biopharmaceutical company, on their website. Pearl is fully equipped to interact with patients and assess their symptoms to provide a correct diagnosis.

It has been lauded as highly accurate, with detailed explanations and recommendations to seek further health advice for cases that need medical treatment. Chatbots in healthcare can also be used to provide consumers with basic diagnostic assistance and as a tool to assess symptoms before an in-person appointment. It assesses the current emotional state of the user by asking questions, then suggests activities and exercises for them to do. Chatbots and conversational AI have been widely implemented in the mental health field as a cheaper and more accessible option for healthcare consumers.

Deploying a chatbot in healthcare is very beneficial as it builds the first and ongoing impression for a patient and improves satisfaction. There is going to be a sharpened focus on holistic automation systems which will ultimately lead to highly personalized and intuitive healthcare systems and practices. In the last couple of years, we’ve already witnessed some great innovations when it comes to healthcare chatbots. With the way technology has advanced, it is no surprise that chatbots are one of the fastest-growing communication channels today. And going by how rapidly the healthcare industry is adopting medical chatbots into their tech stack, it is safe to say that chatbots are here to stay.

Hence, it’s very likely to persist and prosper in the future of the healthcare industry. If you wish to know anything about a particular disease, a healthcare chatbot can gather correct information from public sources and instantly help you. Healthcare chatbots significantly cut unnecessary spending by allowing patients to perform minor treatments or procedures without visiting the doctor. Furthermore, if there was a long wait time to connect with an agent, 62% of consumers feel more at ease when a chatbot handles their queries, according to Tidio. As we’ll read further, a healthcare chatbot might seem like a simple addition, but it can substantially impact and benefit many sectors of your institution.

Furthermore, to avoid contextual inaccuracies, it is advisable to specify this training data in lower case. This will generate several files, including your training data, story data, initial models, and endpoint files, using default data. The first step is to set up the virtual environment for your chatbot; and for this, you need to install a python module.

If you wish to see how a healthcare chatbot suits your medical services, take a detailed demo with our in-house chatbot experts. This feedback concerning doctors, treatments, and patient experience has the potential to change the outlook of your healthcare institution, all via a simple automated conversation. Helping users more accurately self-diagnose not only helps with decreasing professional workloads but also discourages the spread of misinformation. People are less likely to rely on unreliable sources if they have access to accurate healthcare advice from a healthcare chatbot. When envisioning the future, automation, and conversational AI-powered chatbots definitely pave the way for seamless healthcare assistance. Implementing a chatbot for appointment scheduling removes the monotony of filling out dozens of forms and eases the entire process of bookings.

Mental health chatbots like Woebot, Wysa, and Youper are trained in Cognitive Behavioural Therapy (CBT), which helps to treat problems by transforming the way patients think and behave. Chatbots can extract patient information by asking simple questions such as their name, address, symptoms, current doctor, and insurance details. The chatbots then, through EDI, store this information in the medical facility database to facilitate patient admission, symptom tracking, doctor-patient communication, and medical record keeping. Chatbots ask patients about their current health issue, find matching physicians and dentists, provide available time slots, and can schedule, reschedule, and delete appointments for patients. Chatbots can also be integrated into user’s device calendars to send reminders and updates about medical appointments. Chatbot algorithms are trained on massive healthcare data, including disease symptoms, diagnostics, markers, and available treatments.

One of the most impactful roles of healthcare chatbots is in health education. They provide personalized, easy-to-understand information about diseases, treatments, and preventive measures. This continuous education empowers patients to make informed health decisions, promotes preventive care, and encourages a proactive approach to health. By quickly assessing symptoms and medical history, they can prioritize patient cases and guide them to the appropriate level of care. 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. The healthcare sector is no stranger to emergencies, and chatbots fill a critical gap by offering 24/7 support.

We will examine various use cases, including patient engagement, triage, data analysis, and telehealth support. Additionally, the article will highlight leading healthcare chatbots in the market and provide insights into building a healthcare chatbot using Yellow.ai’s platform. A big concern for healthcare professionals and patients alike is the ability to provide and receive “humanized” care from a chatbot.

In any case, this AI-powered chatbot is able to analyze symptoms, find potential causes for them, and follow up with the next steps. While the app is overall highly popular, the symptom checker is only a small part of their focus, leaving room for some concern. All you have to do is create chatbot use cases in healthcare intents and set training phrases to build an extensive question repository. But the problem arises when there are a growing number of patients and you’re left with a limited staff. In an industry where uncertainties and emergencies are persistently occurring, time is immensely valuable.

Chatbots are a perfect way to keep it simple and quick for the buyer to increase the feedback you receive. And each of the chatbot use cases depends, first and foremost, on your business needs. So, when developing a healthcare chatbot, it is important to pay attention to GDPR or HIPAA compliance. In the healthcare industry, security of patients’ personal information is crucial.

The General Data Protection Regulation (GDPR) is a regulation on data protection for European Union citizens. Before coming to omnichannel marketing tools, let’s look into one scenario first! However, despite all the costs incurred, implementing a chatbot can save countless hours and cut down on overhead costs, thus ensuring a significant ROI. With each use case, the complexity of the chatbot changes, and so does the pricing. Or maybe you are booking your very first appointment, and the receptionist seems to be taking just too long to jot down your details.

These bots can also play a critical role in making relevant healthcare information accessible to the right stakeholders, at the right time. Many chatbots are also equipped with natural language processing (NLP) technology, meaning that through careful conversation design, they can understand a range of questions and process healthcare-related queries. They then generate an answer using language that the user is most likely to understand, allowing users to have a smooth, natural-sounding interaction with the bot. Livi, a conversational AI-powered chatbot implemented by UCHealth, has been helping patients pay better attention to their health. The use case for Livi started with something as simple as answering simple questions.

Chatbots can also be programmed to recognize when a patient needs assistance the most, such as in the case of an emergency or during a medical crisis when someone needs to see a doctor right away. Chatbot technology in healthcare is undergoing advancements on a daily basis, and we’re excited to see the importance of chatbots in healthcare changes as we develop new technologies. With all the disadvantages of chatbots in healthcare, it’s crucial to look at the good side as well. While there are many other chatbot use cases in healthcare, these are some of the top ones that today’s hospitals and clinics are using to balance automation along with human support. As the chatbot technology in healthcare continuously evolves, it is visible how it is reducing the burden of the already overburdened hospital workforce and improving the scalability of patient communication.

A couple of years back, no one could have even fathomed the extent to which chatbots could be leveraged. Healthcare chatbots help patients avoid unnecessary tests and costly treatments, guiding them through the system more effectively. Others may help autistic individuals enhance social and job interview skills. Patients can use text, microphones, or cameras to get mental health assistance to engage with a clinical chatbot. You can foun additiona information about ai customer service and artificial intelligence and NLP. A use case is a specific AI chatbot usage scenario with defined input data, flow, and outcomes.

If you are considering chatbots and automation as part of your innovation plan, take time to put together a solid strategy and roadmap. If you are new to the process, reach out for help to start on the right path. Chatbots streamline patient data collection by gathering essential information like medical history, current symptoms, and personal health data. For example, chatbots integrated with electronic health records (EHRs) can update patient profiles in real-time, ensuring that healthcare providers have the latest information for diagnosis and treatment.

As technology improves, conversational agents can engage in meaningful and deep conversations with us. Customized chat technology helps patients avoid unnecessary lab tests or expensive treatments. Our tech team has prepared five app ideas for different types of AI chatbots in healthcare. AI chatbots in the healthcare industry are great at automating everyday responsibilities in the healthcare setting. AI-powered chatbots have been one of the year’s top topics, with ChatGPT, Bard, and other conversational agents taking center stage.

A healthcare chatbot can serve as an all-in-one solution for answering all of a patient’s general questions in a matter of seconds. But, this is just a single instance of how medical chatbots are transforming the healthcare industry. Apart from providing critical healthcare information, healthcare chatbots have benefitted the industry in a number of ways. Chatbots assist doctors by automating routine tasks, such as appointment scheduling and patient inquiries, freeing up their time for more complex medical cases. They also provide doctors with quick access to patient data and history, enabling more informed and efficient decision-making. Being able to reduce costs without compromising service and care is hard to navigate.

Additionally, customers can still choose to interact with live agents if they’d prefer. We software development experts build bespoke and personalized chatbots leveraging AI and machine learning that enable your business to generate leads, increase revenue, and enhance user experience. If you are planning to develop a customized chatbot that can compete with the predefined bots in the market, contact us. Chatbots powered by AI free people from low value, tedious, repetitive, and transactional tasks to more high-value, strategic, engaging, and creative work.

They built one of the most highly intuitive AI-powered chatbots in healthcare, which could come up with possible diagnoses for a patient’s symptoms by asking around 20 questions. Artificial Intelligence Healthcare Chatbot Systems are able to answer FAQs, provide second opinions on diagnosis, and help out in appointment scheduling. Since the bot records the appointments for all patients, it can also be programmed to send reminder notifications and things to carry before the appointment.

You can improve your spending habits with the first two and increase your account’s security with the last one. People can add transactions to the created expense report directly from the bot to make the tracking even more accurate. Depending on the relevance of the report, users can also either approve or reject it. Another great chatbot use case in banking is that they can track users’ expenses and create reports from them. Each treatment should have a personalized survey to collect the patient’s medical data to be relevant and bring the best results.

We used qualitative methods to allow our use cases and use-case categories to emerge from our data. Specifically, both authors engaged in open coding (see Miles and Huberman18) where we identified the public health response activities that the chatbots supported. We then engaged in axial coding to aggregate use cases into use-case categories. Finally, we independently categorized the chatbots based on their use case(s) and design features. We were unable to assess some chatbots on some attributes because of variations in available information. Further, as a chatbot could belong to multiple categories (e.g., delivered multiple use cases), our numbers do not always add up to 61.

With it, you’re able to send up to 7 messages to the Docus chatbot and even request an AI-powered second opinion with DDx, Tx, and more. Second, they eliminate geographic barriers, bringing access to expert medical advice to anyone that has access to the internet globally. You then have to check your calendar and find a suitable time that aligns with the doctor’s availability. Lastly, you have to ensure they enter the right details about your name, your reason for visit, etc. But the unprecedented challenges in the past few years have shown how vulnerable the sector really is.

An AI healthcare chatbot can also be used to collect and process co-payments to further streamline the process. Chatbot in the healthcare industry has been a great way to overcome the challenge. With a messaging interface, website/app visitors can easily access a chatbot. 30% of patients left an appointment because of long wait times, and 20% of patients permanently changed providers for not being serviced fast enough.

From check-in to several concierge services such as booking restaurants to activity reservations, chatbots can seamlessly assist customers. A well built healthcare chatbot with natural language processing (NLP) can understand user intent with the help of sentiment analysis. Based on the understanding of the user input, the bot can recommend appropriate healthcare plans. AI-enabled patient engagement chatbots in healthcare provide prospective and current patients with immediate, specific, and accurate information to improve patient care and services. A well-designed healthcare chatbot can schedule appointments based on the doctor’s availability. Also, chatbots can be designed to interact with CRM systems to help medical staff track visits and follow-up appointments for every individual patient, while keeping the information handy for future reference.

Conversational chatbots use natural language processing (NLP) and natural language understanding (NLU), applications of AI that enable machines to understand human language and intent. Browsing through the website of a multispecialty hospital and sifting through the different specialties and doctors can be daunting. Chatbots reduce this strain and help patients book an appointment quickly based on their ailment or health condition. When a patient interacts with the chatbot, it will ask a series of questions to determine which doctor and department the patient should visit. Collecting patient health data is crucial to provide proper medical care in the healthcare industry.

An E-commerce chatbot helps customers obtain detailed information about the product they are looking for or even helps them land on the right product page. Chatbots also help reduce cart abandonment as they can remind customers about the items left in their cart and prompt them to update their cart or purchase the items. Timely reminders and notifications will nudge the customers to revisit their carts and make a purchase decision, thereby helping businesses generate revenue quickly. Make sure you know your business needs before jumping ahead of yourself and deciding what to use chatbots for. Also, make sure to check all the features your provider offers, as you might find that you can use bots for many more purposes than first expected.