5 Healthcare Chatbot Use Cases in 2023 + Examples

From enhancing customer service to optimizing sales and streamlining various processes, chatbots have shown their ability to deliver efficient and personalized results. As technology continues to evolve and businesses recognize the value of chatbots, their popularity is predicted to rise even further. Gartner predicts that by 2027, approximately 25% of organizations will have chatbots as their main customer service channel. With their increasing adoption and advancements in AI technologies, chatbots are poised to play an even more critical role in shaping the future of customer engagement and service delivery. Embracing chatbots today means staying ahead of the curve and unlocking new opportunities for growth and success in the ever-evolving digital landscape.

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%. During the Covid-19 pandemic, WHO employed a WhatsApp chatbot to reach and assist people across all demographics to beat the threat of the virus. The doctors can then use all this information to analyze the patient and make accurate reports. Chatbots are also great for conducting feedback surveys to assess patient satisfaction.

Most patients prefer to book appointments online instead of making phone calls or sending messages. A chatbot further eases the process by allowing patients to know available slots and schedule or delete meetings at a glance. If you wish to know anything about a particular disease, a healthcare chatbot can gather correct information from public sources and instantly help you.

This does not influence our use cases since chatbot objectives were described in the articles. We excluded 9 cases from our sample since our analysis revealed that they were not chatbots. We identified 3 new chatbots that focused on vaccination, bringing our final sample to 61 chatbots and resulting in 1 additional use-case category and 1 new use case.

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. The introduction of AI-driven healthcare chatbots marks a transformative era in the rapidly evolving world of healthcare technology. This article delves into the multifaceted role of healthcare chatbots, exploring their functionality, future scope, and the numerous benefits they offer to the healthcare sector. 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. Healthcare chatbots are not only reasonable solutions for your patients but your doctors as well.

Why are chatbots important in healthcare?

For instance, a Level 1 maturity chatbot only provides pre-built responses to clearly stated questions without the capacity to follow through with any deviations. “We are not yet fully sure on whether or not women can understand everything clearly and whether or not it’s fully medically accurate all of the information that we’re sending out,” Jalota said. They are considering training some women to help ask the chatbot prompts on behalf of someone else, though still aim to improve the chatbot so it can be released on its own. Funders like the Gates Foundation, the Patrick J. McGovern Foundation and Data.org, are seeking to build up this “missing middle” in AI development, especially in areas like health and education. In 2023, businesses may need to embrace not only text chatbots but also voice assistants due to their increasing popularity.

Healthcare providers are relying on conversational artificial intelligence (AI) to serve patients 24/7 which is a game-changer for the industry. Chatbots for healthcare can provide accurate information and a better experience for patients. A healthcare Chatbot must be created to provide a genuine interaction in order to be useful. You can employ natural language processing and certain comprehension tools to provide the correct context, which will improve the Chatbot’s overall response capacity.

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. With advancements in AI and NLP, these chatbots will provide empathetic support and effective management strategies, helping patients navigate complex mental health challenges with greater ease and discretion. Today’s healthcare chatbots are obviously far more reliable, effective, and interactive. As advancements in AI are ever evolving and ameliorating, chatbots will inevitably perform a range of complex activities and become an indispensable part of many industries, mainly, healthcare. You have probably heard of this platform, for it boasts of catering to almost 13 million users as of 2023.

Therefore, you should choose the right chatbot for the use cases that you will need it for. Finance bots can effectively monitor and identify any warning signs of fraudulent activity, such as debit card fraud. And if an issue arises, the chatbot immediately alerts the bank as well as the customer.

Difference Between Chatbot & Conversational AI

We invite you to explore the ways chatbots are revolutionizing the retail landscape, creating a seamless shopping experience for customers while shaping the future of retail. The telecom company collaborated with Master of Code to enhance their internal Digital AI team’s virtual assistant. This partnership involved strategic roadmapping, prioritizing use cases, conversation design services, bot tuning, and Conversational AI consulting. By implementing our conversation design process, we regularly analyzed data and reviewed conversations to address user concerns and improve existing interactions. Marketing chatbots are powerful tools that offer various applications to elevate marketing efforts and enhance customer engagement.

It then guides those with the most severe symptoms to seek responsible doctors or medical specialists. This type of chatbot app provides users with advice and information support, taking the form of pop-ups. Informative chatbots offer the least intrusive approach, gently easing the patient into the system of medical knowledge.

All you have to do now is examine your target audience, discover their preferences, and sketch a plan. Focus your full attention on the Chatbot use cases in healthcare and commercial objectives, and the barrier will be overcome. On the other hand, the design of the Chatbot completely depends upon the purpose; whether the need is for informative or conversational Chatbot. You visit the doctor, the doctor asks you questions about what you’re feeling to reach a probable diagnosis.

AskHR bot natively supports 50+ languages and is hence a globally popular virtual assistant. It offers voice, email, and text support to employees and helps reduce costs, enhances employee engagement, and offers analytics to derive valuable insights. According to Gartner, by 2021, over 50% of companies will spend more on developing chatbots (intelligent conversational assistants) against traditional mobile app development. With the creation of ChatGPT and other such chatbots, it’s interesting to see the impact of AI on healthcare as a whole. Customer service chatbot for healthcare can help to enhance business productivity without any extra costs and resources.

All that means that the burden of medical professionals can be lowered by integrating Chatbot technology inside healthcare with the best AI Chatbot development company. 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. Healthcare chatbots can remind patients when it’s time to refill their prescriptions. These smart tools can also ask patients if they are having any challenges getting the prescription filled, allowing their healthcare provider to address any concerns as soon as possible.

Chatbots for mental health can help patients feel better by having a conversation with the person. Patients can talk about their stress, anxiety, or any other feelings they’re experiencing at the time. This can provide people with an effective outlet to discuss their emotions and deal with them better.

It conducts basic activities like asking about the symptoms, recommending wellness programs, and tracking behavior or weight changes. Although, if you’re looking for a basic chatbot assisting your website visitors, we advise you to take a look at some existing solutions like Smith.ai, Acobot, or Botsify. Healthcare professionals can’t reach and screen everyone who may have symptoms of the infection; therefore, leveraging AI health bots could make the screening process fast and efficient.

They can engage the customer with personalized messages, send promos, and collect email addresses. Bots can also send visual content and keep the customer interested with promo information to boost their engagement with your site. Teaching your new buyers how to utilize your tool is very important in turning them into loyal customers.

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. Chatbots collect patient information, name, birthday, contact information, current doctor, last visit to the clinic, and prescription information. The chatbot submits a request to the patient’s doctor for a final decision and contacts the patient when a refill is available and due. By using SalesIQ specifically, patients can initiate conversation in an all-in-one live chatbot platform. Apart from our sponsor Zoho SalesIQ, chatbots are sorted by category and functionality. These categories can be divided into general health advice and chatbots working in specific areas (mental, cancer).

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. Helping users more accurately self-diagnose not only helps with decreasing professional workloads but also discourages the spread of misinformation.

Chatbots play an essential role in providing more reliable and quicker customer support and keeping the customers up-to-date about the delivery status of their purchases. We have identified the top 18 artificial intelligence use cases and vendors in the healthcare industry and structured them around typical processes that are used in the healthcare industry. Chatbots like Docus.ai can even validate these diagnoses with top healthcare professionals from the US and Europe. 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. As a result, Chatbots serve as an all-in-one solution for answering all of a patient’s general questions in a matter of seconds.

Customer Equity: What It Is and How to Increase It

This automation reduces the need for staff to handle basic inquiries and administrative duties, allowing them to focus on more complex and critical tasks. In addition, by handling initial patient interactions, chatbots can reduce the number of unnecessary in-person visits, further saving costs. Healthcare chatbots automate the information-gathering process while boosting patient engagement.

Conversational chatbots with different intelligence levels can understand the questions of the user and provide answers based on pre-defined labels in the training data. Chatbot algorithms are trained on massive healthcare data, including disease symptoms, diagnostics, markers, and available treatments. Public datasets are used to continuously train chatbots, such as COVIDx for COVID-19 diagnosis, and Wisconsin Breast Cancer Diagnosis (WBCD). We built the chatbot as a progressive web app, rendering on desktop and mobile, that interacts with users, helping them identify their mental state, and recommending appropriate content.

Because of the AI technology, it was also able to deploy the bot in 19 different languages to reach the maximum demographics. Even with how advanced chatbots have gotten, a real, living, breathing human being is not so easy to replace. QliqSOFT offers a chatbot to assist patients with their post-discharge care.

Moreover, chatbots are employed in education for personalized tutoring and language learning. Their versatility and 24/7 availability make chatbots valuable tools for automating tasks, enhancing user experiences, and increasing operational efficiency. Today, chatbots have emerged as powerful AI-driven tools with diverse applications across various industries. With their ability to interact and engage with users through conversational interfaces, chatbots are revolutionizing the way businesses and organizations connect with their audiences. From streamlining customer support to optimizing sales processes, chatbots have become vital assets in delivering efficient and personalized services.

Ada is an app-based symptom checker created by medical professionals, featuring a comprehensive medical library on the app. Quality assurance specialists should evaluate the chatbot’s responses across different scenarios. Software engineers must connect the chatbot to a messaging platform, like Facebook Messenger or Slack.

After you’ve finished designing the general Chatbot, you’ll need to train and test it before releasing it. 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. It eliminates the need for hospital administrators to do the same manually over a call. This healthcare chatbot use case is reliable because it reduces errors and is intuitive since the user gets a quick overview of the available spots.

Further, as a chatbot could belong to multiple categories (e.g., delivered multiple use cases), our numbers do not always add up to 61. They send queries about patient well-being, collect feedback on treatments, and provide post-care instructions. For example, a chatbot might check on a patient’s recovery progress after surgery, reminding them of wound care practices or follow-up appointments, thereby extending the care continuum beyond the hospital. Medication adherence is a crucial challenge in healthcare, and chatbots offer a practical solution. 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.

Thanks to its budgeting capabilities, Erica users grew to 12.2 million in Q compared to 10.3 million in Q4 2019. 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.

This type of information is invaluable to the patient and sets-up the provider and patient for a better consultation. Considering their capabilities and limitations, check out the selection of easy and complicated tasks for artificial intelligence chatbots in the healthcare industry. Some experts also believe doctors will recommend chatbots to patients with ongoing health issues. In the future, we might share our health information with text bots to make better decisions about our health. 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.

Almost all of these platforms have vibrant visuals that provide information in the form of texts, buttons, and imagery to make navigation and interaction effortless. 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. First, the chatbot helps Peter relieve the pressure of his perceived mistake by letting him know it’s not out of the ordinary, which may restore his confidence; then, it provides useful steps to help him deal with it better. If you look up articles about flu symptoms on WebMD, for instance, a chatbot may pop up with information about flu treatment and current outbreaks in your area.

Conversational chatbots use natural language processing (NLP) and natural language understanding (NLU), applications of AI that enable machines to understand human language and intent. Chatbots can help physicians, patients, and nurses with better organization of a patient’s pathway to a healthy life. Nothing can replace a real doctor’s consultation, but virtual assistants can help with medication management and scheduling appointments. 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.

This can be a risk to their health if they do it over a longer period of time. Another example of a chatbot use case on social media is Lyft which enabled its clients to order a ride straight from Facebook Messenger or Slack. They can track the customer journey to find the person’s preferences, interests, and needs. Also, Accenture research shows that digital users prefer messaging platforms with a text and voice-based interface.

After training your chatbot on this data, you may choose to create and run a nlu server on Rasa. Ensure to remove all unnecessary or default files in this folder before proceeding to the next stage of training your bot. The name of the entity here is “location,” and the value is “colorado.” You need to provide a lot of examples for “location” to capture the entity adequately. 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.

They streamline workflows for healthcare staff, engage patients in their own health, and give 24/7 assistance to virtually anyone in the world. There are advancements in natural language understanding, emotional intelligence, and the integration of chatbots with wearable devices and telemedicine platforms. This means that the capabilities of AI-powered chatbots in healthcare will continue to grow. 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.

Whenever team members need to check the availability or the status of equipment, they can simply ask the bot. The bot will then fetch the data from the system, thus making operations healthcare chatbot use cases information available at a staff member’s fingertips. This automation results in better team coordination while decreasing delays due to interdependence among teams.

You can foun additiona information about ai customer service and artificial intelligence and NLP. These chatbots are equipped with the simplest AI algorithms designed to distribute information via pre-set responses. Depending on the specific use case scenario, chatbots possess various levels of intelligence and have datasets of different sizes at their disposal. The 61 chatbots reflect a global sample of chatbots deployed in more than 30 countries. These include 33 chatbots that conversed in 45 languages other than (or in addition to) English. Tables 1 and ​and22 in Appendix 1 provide background information on each chatbot, its use cases, and design features.

The 15 use cases that we have identified provide a basis for identifying functionality and customization options for different organizations or constituents. 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. The development of multiple such use cases, including surveillance and logistics, would be especially beneficial as a frugal solution to bridge the digital divide in areas of poor infrastructure.

• Bots can then pull info from this data to generate automated responses to users’ questions.
• They can automate bothersome and time-consuming tasks, like appointment scheduling or consultation.
• While use cases were combined in many distinct combinations, which of these are most effective is an open question.
• Just remember that the chatbot needs to be connected to your calendar to give the right dates and times for appointments.
• Recently, Google Cloud launched an AI chatbot called Rapid Response Virtual Agent Program to provide information to users and answer their questions about coronavirus symptoms.

Chatbots can take the collected data and keep your patients informed with relevant healthcare articles and other content. They can also have set push notifications for when a person’s condition changes. This way, bots can get more information about why the condition changes or book a visit with their doctor to check the symptoms.

Undoubtedly, chatbots have great potential to transform the healthcare industry. They can substantially boost efficiency and improve the accuracy of symptom detection, preventive care, post-recovery care, and feedback procedures. Healthcare bots help in automating all the repetitive, and lower-level tasks of the medical representatives. While bots handle simple tasks seamlessly, healthcare professionals can focus more on complex tasks effectively. The healthcare sector has turned to improving digital healthcare services in light of the increased complexity of serving patients during a health crisis or epidemic. One in every twenty Google searches is about health, this clearly demonstrates the need to receive proper healthcare advice digitally.