Medical Chatbots Use Cases, Examples and Case Studies of Conversational AI in Medicine and Health

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Updated: May 30, 2024

Top 10 Chatbots in Healthcare: Insights & Use Cases in 2024

healthcare chatbot use case diagram

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.

Moreover, integrating RPA or other automation solutions with chatbots allows for automating insurance claims processing and healthcare billing. From scheduling appointments to collecting patient information, chatbots can help streamline the process of providing care and services—something that’s especially valuable during healthcare surges. 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.

It is also important to note that costs can vary depending on the customizations you choose. 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.

It is HIPAA compliant and can collect and maintain patient medical records with utmost privacy and security. Doctors simply have to pull up these records with a few clicks, and they have the entire patient history mapped out in front of them. Automation has been a game-changer for several businesses across industries. Early adopters of automation included the IT, retail, manufacturing, and automotive industries. Only limited by network connection and server performance, bots respond to requests instantaneously.

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. That being said, it is quite interesting to note that a number of practices have gone a step further and developed highly interesting chatbots serving equally interesting use cases.

It also increases revenue as the reduction in the consultation periods and hospital waiting lines leads healthcare institutions to take in and manage more patients. The app makes it easy for front office managers by automating most of their work. From Queue management to appointment booking, this AI powered app has got you covered. Case in point, Navia Life Care uses an AI-enabled voice assistant powered by Kommunicate for its doctors.

AI chatbots with natural language processing (NLP) and machine learning help boost your support agents’ productivity and efficiency using human language analysis. You can train your bots to understand the language specific to your industry and the different ways people can ask questions. So, if you’re selling IT products, then your chatbots can learn some of the technical terms needed to effectively help your clients. Time is an essential factor in any medical emergency or healthcare situation. This is where chatbots can provide instant information when every second counts.

This bodes well for patients with long-term illnesses like diabetes or heart disease symptoms. They simulate human activities, helping people search for information and perform actions, which many healthcare organizations find useful. If you are interested in knowing how chatbots work, read our articles on voice recognition applications and natural language processing. 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). These healthcare chatbot use cases show that artificial intelligence can smoothly integrate with existing procedures and ease common stressors experienced by the healthcare industry.

Patients can use them to get information about their condition or treatment options or even help them find out more about their insurance coverage. 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. A number of companies today have found a way to answer the question of how do I develop a medical chatbot with reasonable ease. So, a patient is more likely to open up to a chatbot and provide all the requisite information that a doctor needs to make an accurate diagnosis.

It’s also very quick and simple to set up the bot, so any one of your patients can do this in under five minutes. The chatbot instructs the user how to add their medication and give details about dosing times and amounts. Straight after all that is set, the patient will start getting friendly reminders about their medication at the set times, so their health can start improving progressively. Voice bots facilitate customers with a seamless experience on your online store website, on social media, and on messaging platforms. They engage customers with artificial intelligence communication and offer personalized solutions to shoppers’ requests.

Collect patients’ data and feedback

To do that, the application must employ NLP algorithms and have the latest knowledge base to draw insights. Informative, conversational, and prescriptive healthcare chatbots can be built into messaging services like Facebook Messenger, Whatsapp, or Telegram or come as standalone apps. While building futuristic healthcare chatbots, companies will have to think beyond technology. They will need to carefully consider various factors that can impact the user adoption of chatbots in the healthcare industry. Only then will we be able to unlock the true power of AI-enabled conversational healthcare. The market is brimming with technology vendors working on AI models and algorithms to enhance healthcare quality.

And since chatbots are often based on SaaS (software as a service) packages from major players like AWS, there’s no shortage of resources. I am Paul Christiano, a fervent explorer at the intersection of artificial intelligence, machine learning, and their broader implications for society. Renowned as a leading figure in AI safety research, my passion lies in ensuring that the exponential powers of AI are harnessed for the greater good. Throughout my career, I’ve grappled with the challenges of aligning machine learning systems with human ethics and values. My work is driven by a belief that as AI becomes an even more integral part of our world, it’s imperative to build systems that are transparent, trustworthy, and beneficial.

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. Every company has different needs and requirements, so it’s natural that there isn’t a one-fits-all service provider for every industry. Do your research before deciding on the chatbot platform and check if the functionality of the bot matches what you want the virtual assistant to help you with. Bots can also monitor the user’s emotional health with personalized conversations using a variety of psychological techniques. The bot app also features personalized practices, such as meditations, and learns about the users with every communication to fine-tune the experience to their needs.

Every customer wants to feel special and that the offer you’re sending is personalized to them. Also, Accenture research shows that digital users prefer messaging platforms with a text and voice-based interface. About 67% of all support requests were handled by the https://chat.openai.com/ bot and there were 55% more conversations started with Slush than the previous year. In fact, about 77% of shoppers see brands that ask for and accept feedback more favorably. Hit the ground running – Master Tidio quickly with our extensive resource library.

The virtual assistant also gives you the option to authenticate signatures in real time. This is one of the chatbot healthcare use cases that serves the patient and makes the processes easier for them. It used a chatbot to address misunderstandings and concerns about the colonoscopy and encourage more patients to follow through with the procedure. This shows that some topics may be embarrassing for patients to discuss face-to-face with their doctor. A conversation with a chatbot gives them an opportunity to ask any questions. The best part is that your agents will have more time to handle complex queries and your customer service queues will shrink in numbers.

The app also helps assess their general health with its quick health checker and book medical appointments. They can even attend these appointments via video call within two hours of booking. 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.

Furthermore, you can also contact us if you need assistance in setting up healthcare or a medical chatbot. As if the massive spike in patient intake and overworked health practitioners were not enough, healthcare professionals were battling with yet another critical aspect. A couple of years back, no one could have even fathomed the extent to which chatbots could be leveraged. Download this PowerPoint SlideShare to explore the top 10 chatbot use cases in healthcare, from reducing queue lengths and increasing support capacity, to automating frontline client services. For instance, Pfizer, a prominent player in the pharmaceutical industry, has embraced AI by deploying chatbots like Medibot in the US, Fabi in Brazil, and Maibo in Japan. These chatbots serve as accessible sources of non-technical medicinal information for patients, effectively reducing the workload of call center agents (Source ).

So, if you want to be able to use your bots to the fullest, you need to be aware of all the functionalities. This way, you will get more usage out of it and have more tasks taken off your shoulders. And, in the long run, you will be much happier with your investment seeing the great results that the bot brings your company. These chatbot providers focus on a specific area and develop features dedicated to that sector. So, even though a bank could use a chatbot, like ManyChat, this platform won’t be able to provide for all the banking needs the institution has for its bot.

Once this data is stored, it becomes easier to create a patient profile and set timely reminders, medication updates, and share future scheduling appointments. So next time, a random patient contacts the clinic or a hospital, you have all Chat GPT the information in front of you — the name, previous visit, underlying health issue, and last appointment. It just takes a minute to gauge the details and respond to them, thereby reducing their wait time and expediting the process.

Chatbot use cases for marketing

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. Conversational AI consultations are based on a patient’s previously recorded medical history. After a person reports their symptoms, chatbots check them against a database of diseases for an appropriate course of action. Chatbots can collect the patients’ data to create fuller medical profiles you can work with.

In order to effectively process speech, they need to be trained prior to release. More advanced apps will continue to learn as they interact with more users. Healthcare chatbots help patients avoid unnecessary tests and costly treatments, guiding them through the system more effectively. Depending on the specific use case scenario, chatbots possess various levels of intelligence and have datasets of different sizes at their disposal. Research indicates chatbots improve retention of health education content by over 40% compared to traditional written materials. They also increase patient confidence and self-efficacy levels significantly.

The use of chatbots in healthcare is one of these technological developments that has gained popularity. These sophisticated conversational tools, sometimes known as medical chatbots or health bots, help patients and healthcare providers communicate easily. We will examine the methodical approach to creating and deploying chatbots in the healthcare industry in this post. Chatbots could play a critical role in guiding patients toward specialized care within the healthcare landscape. By analyzing symptoms and medical history, chatbots could discern the need for specialized attention, offering tailored recommendations for consulting specific specialists based on the detected conditions. This process ensures that patients receive timely and appropriate care from healthcare professionals with expertise relevant to their specific health concerns.

healthcare chatbot use case diagram

This chatbot efficiently delivered accurate information about the disease, symptoms, treatments, and medications, reaching 13.5 million people in 19 languages. The use of AI technology showcased the adaptability and effectiveness of chatbots in disseminating crucial information during global health crises. The introduction of chatbots has significantly improved healthcare, especially in providing patients with the information they seek. This was particularly evident during the COVID-19 pandemic when the World Health Organization (WHO) deployed a COVID-19 virtual assistant through WhatsApp. By clearly outlining the chatbot’s capabilities and limitations, healthcare institutions build trust with patients. Chatbots can also provide reliable and up-to-date information sourced from credible medical databases, further enhancing patient trust in the information they receive.

Chatbots can also push the client down the sales funnel by offering personalized recommendations and suggesting similar products for upsell. They can also track the status of a customer’s order and offer ordering through social media like Facebook and Messenger. Deploying chatbots on your website as well as bots for WhatsApp and other platforms can help different industries to streamline some of the processes. These include cross-selling, checking account balances, and even presenting quizzes to website visitors. Handle conversations, manage tickets, and resolve issues quickly to improve your CSAT. This is because many companies realize that their HR department receives lots of repetitive requests or questions from employees that could be easily handled automatically.

In an industry where uncertainties and emergencies are persistently occurring, time is immensely valuable. In response to the COVID-19 pandemic, the Ministry of Health in Oman sought an efficient way to provide citizens with accessible and valuable information. To meet this urgent need, an Actionbot was deployed to automate information exchange between healthcare institutions and the public during the pandemic. Chatbots are improving businesses by offering a multitude of benefits for both users and workers.

Chatbots can be used to communicate with people, answer common questions, and perform specific tasks they were programmed for. They gather and process information while interacting with the user and increase the level of personalization. There are many different chatbot use cases depending on how you want to use them.

By thoughtfully implementing chatbots aligned to organizational goals, healthcare providers can elevate patient experiences and clinical outcomes to new heights. The transformative power of AI to augment clinicians and improve healthcare access is here – the time to implement chatbots is now. 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.

AHI Blog – fordham.edu

AHI Blog.

Posted: Wed, 24 Apr 2024 01:31:38 GMT [source]

Chatbots generate leads for your company by engaging website visitors and encouraging them to provide you with their email addresses. Then, bots try to turn the interested users into customers with offers and through conversation. They can also collect leads by encouraging your website visitors to provide their email addresses in exchange for a unique promotional code or a free gift.

If you’re interested in building an appointment-scheduling bot, stay tuned. AI chatbots in the healthcare industry are great at automating everyday responsibilities in the healthcare setting. Now, let’s explore the main applications of artificial intelligence chatbots in healthcare in more detail. AI-powered chatbots have been one of the year’s top topics, with ChatGPT, Bard, and other conversational agents taking center stage. For healthcare businesses, the adoption of chatbots may become a strategic advantage. This global experience will impact the healthcare industry’s dependence on chatbots, and might provide broad and new chatbot implementation opportunities in the future.

The primary role of healthcare chatbots is to streamline communication between patients and healthcare providers. This constant availability not only enhances patient engagement but also significantly reduces the workload on healthcare professionals. Moreover, healthcare chatbots are being integrated with Electronic Health Records (EHRs), enabling seamless access to patient data across various healthcare systems. This integration fosters better patient care and engagement, as medical history and patient preferences are readily available to healthcare providers, ensuring more personalized and informed care. The growing demand for virtual healthcare, accelerated by the global pandemic, has further propelled the adoption of healthcare chatbots.

As technology improves, conversational agents can engage in meaningful and deep conversations with us. 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. Just like with any technology, platform, or system, chatbots need to be kept up to date. If you change anything in your company or if you see a drop on the bot’s report, fix it quickly and ensure the information it provides to your clients is relevant.

If you are interested in knowing how chatbots work, read our articles on What are Chatbot, How to make chatbot and natural language processing. Healthcare chatbots are transforming modern medicine as we know it, from round-the-clock availability to bridging the gap between doctors and patients regardless of patient volumes. Symptomate is a multi-language chatbot that can assess symptoms and instruct patients about the next steps. You need to enter your symptoms, followed by answering some simple questions. You will receive a detailed report, complete with possible causes, options for the next steps, and suggested lab tests. Earlier, this involved folks calling hospitals and clinics, which was fine.

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. Chatbots are designed to assist patients and avoid issues that may arise during normal business hours, such as waiting on hold for a long time or scheduling appointments that don’t fit into their busy schedules. With 24/7 accessibility, patients have instant access to medical assistance whenever they need it. With the way technology has advanced, it is no surprise that chatbots are one of the fastest-growing communication channels today.

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. 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. The accessibility and anonymity of these chatbots make them a valuable tool for individuals hesitant to seek traditional therapy. You have probably heard of this platform, for it boasts of catering to almost 13 million users as of 2023.

This automation results in better team coordination while decreasing delays due to interdependence among teams. You can build a secure, effective, and user-friendly healthcare chatbot by carefully considering these key points. Remember, the journey doesn’t end at launch; continuous monitoring and improvement based on user feedback are crucial for sustained success.

healthcare chatbot use case diagram

And for pain medication, the bot can display a pain level scale and ask how much pain the patient is in at the moment of fulfilling the survey. They can answer reactions to your Instagram stories, communicate with your Facebook followers, and chat with people interested in specific products. Chatbots can serve as internal help desk support by getting data from customer conversations and assisting agents with answering shoppers’ queries. Bots can analyze each conversation for specific data extraction like customer information and used keywords.

The healthcare sector is no stranger to emergencies, and chatbots fill a critical gap by offering 24/7 support. Their ability to provide instant responses and guidance, especially during non-working hours, is invaluable. Seamless integration of chatbots into EHR systems involves compliance with healthcare standards like HL7 and FHIR. Develop interfaces that enable the chatbot to access and retrieve relevant information from EHRs. Prioritize interoperability to ensure compatibility with diverse healthcare applications.

Chatbots for Mental Health and Therapy – Comparing 5 Current Apps and Use Cases – Emerj

Chatbots for Mental Health and Therapy – Comparing 5 Current Apps and Use Cases.

Posted: Fri, 13 Dec 2019 08:00:00 GMT [source]

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. 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.

And research shows that bots are effective in resolving about 87% of customer issues. Sign-up forms are usually ignored, and many visitors say that they ruin the overall website experience. Bots can engage the warm leads on your website and collect their email addresses in an engaging and non-intrusive way. They can help you collect prospects whom you can contact later on with your personalized offer.

healthcare chatbot use case diagram

But successful adoption of healthcare chatbots will require a lot more than that. It will require a fine balance between human empathy and machine intelligence to develop chatbot solutions that can address today’s healthcare challenges. The rapid adoption of AI chatbots in healthcare leads to the rapid development of medical-oriented large language models. These models will be trained on medical data to deliver accurate responses. This way, clinical chatbots help medical workers allocate more time to focus on patient care and more important tasks.

  • Healthcare professionals can now efficiently manage resources and prioritize clinical cases using artificial intelligence chatbots.
  • But what healthcare chatbots can do is free up valuable time for medical personnel and administration staff to focus on the most complex and pressing healthcare needs.
  • However, the majority of these AI solutions (focusing on operational performance and clinical outcomes) are still in their infancy.
  • Patients can obtain immediate and precise responses at any time of the day.

But then it can provide the client with your business working hours if it’s past that time, or transfer the customer to one of your human agents if they’re available. Or maybe you just need a bot to let people know when will the customer support team be available next. This will minimize the shopper’s frustration and improve their satisfaction.

A healthcare chatbot can also be used to quickly triage users who require urgent care by helping patients identify the severity of their symptoms and providing advice on when to seek professional help. A healthcare chatbot can also help patients with health insurance claims and billing—something that can often be a source of frustration and confusion for healthcare consumers. And unlike a human, a chatbot can process vast amounts of data in a short period of time in order to provide the best outcomes for the patient. Some patients may also find healthcare professionals to be intimidating to talk to or have difficulty coming into the clinic in person. For these patients, chatbots can provide a non-threatening and convenient way to access a healthcare service. Chatbots can take the collected data and keep your patients informed with relevant healthcare articles and other content.

healthcare chatbot use case diagram

Thankfully, a lot of new-generation patients book their appointments online. WHO then deployed a Covid-19 virtual assistant that contained all these details so that anyone could access information that is valuable and accurate. Because of the AI technology, it was also able to deploy the bot in 19 different languages to reach the maximum demographics. Case in point, Navia Life Care uses an AI-enabled voice assistant for its doctors. This increases the efficiency of doctors and diagnosticians and allows them to offer high-quality care at all times. Healthcare chatbots prioritize safety and security, employing encryption and strict data protection measures.

If you wish to know anything about a particular disease, a healthcare chatbot can gather correct information from public sources and instantly help you. You can foun additiona information about ai customer service and artificial intelligence and NLP. Healthcare chatbots significantly cut unnecessary spending by allowing patients to perform minor treatments or procedures without visiting the doctor. Designing chatbot interfaces for medical information involves training the Natural Language Processing (NLP) model on medical terminology. Implement dynamic conversation pathways for personalized responses, enhancing accuracy. Regularly update the chatbot’s knowledge base to incorporate new medical knowledge. Implement user feedback mechanisms to iteratively refine the chatbot based on insights gathered.

This can save you customer support costs and improve the speed of response to boost user experience. 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. Another advantage is that the chatbot has already collected all required data and symptoms before the patient’s visit. Equipping doctors to go through their appointments quicker and more efficiently.

Discover how to awe shoppers with stellar customer service during peak season. This list is not exhaustive, as chatbots are becoming more and more versatile and capable via AI (e.g. Natural Language Processing). You visit the doctor, the doctor asks you questions about what you’re feeling to reach a probable diagnosis. Based on these diagnoses, they ask you to get some tests done and prescribe medicine.

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. A case study shows that assisting customers with a chatbot can increase the booking rate by 25% and improve user engagement by 50%. This case study comes from a travel Agency Amtrak which deployed a bot that answered, on average, 5 million questions a year.

The chatbot called Aiden is designed to impart CPR and First Aid knowledge using easily digestible, concise text messages. These health chatbots are better capable of addressing the patient’s concerns since they can answer specific questions. Some patients prefer keeping their information private when seeking assistance. Chatbots, perceived as non-human and non-judgmental, provide a comfortable space for sharing sensitive medical information. For example, when a chatbot suggests a suitable recommendation, it makes patients feel genuinely cared for. Customized chat technology helps patients avoid unnecessary lab tests or expensive treatments.

Chatbots can help doctors communicate with patients more conveniently than ever before. They can also aid in customer or patient education and provide data about treatments, medications, and other aspects of healthcare. Healthcare chatbots can remind patients about the need for certain vaccinations. This information can be obtained by asking the patient a few questions about where they travel, their occupation, and other relevant information. The healthcare chatbot can then alert the patient when it’s time to get vaccinated and flag important vaccinations to have when traveling to certain countries.

If the person wants to keep track of their weight, bots can help them record body weight each day to see improvements over time. A patient can open the chat window and self-schedule a visit with their doctor using a bot. Just remember that the chatbot needs to be connected to your calendar to give healthcare chatbot use case diagram the right dates and times for appointments. After they schedule an appointment, the bot can send a calendar invitation for the patient to remember about the visit. Letting chatbots handle some sales of your services from social media platforms can increase the speed of your company’s growth.

In the complex world of healthcare, adhering to treatment plans and medication schedules is pivotal for effective care. Chatbots are instrumental in improving treatment adherence and helping patients follow their prescribed regimens diligently. By offering timely reminders and dosage instructions, chatbots ensure that patients remain consistent in their treatment, which contributes significantly to improved health outcomes.

You can easily get started with something simple and then scale as per the needs of your organization. Today, we are in an era where we finally realize the importance of mental health. We are now much more aware of how important it is to be on track with our emotional health. Once again, go back to the roots and think of your target audience in the context of their needs. Another startup called Infermedica offers an AI engine focused specifically on symptom analysis for triage. It can integrate into any patient-facing platform to automatically evaluate symptoms and intake information.

Functioning as an initial triage tool, chatbots utilize advanced algorithms and access extensive medical databases to conduct thorough symptom assessments. This systematic approach allows them to generate potential diagnoses or recommend further evaluation when deemed necessary. According to an MGMA Stat poll, about 49% of medical groups said that the rates of ‘no-shows‘ soared since 2021. No-show appointments result in a considerable loss of revenue and underutilize the physician’s time. The healthcare chatbot tackles this issue by closely monitoring the cancellation of appointments and reports it to the hospital staff immediately.