Chatbots in Healthcare 10 Use Cases + Development Guide

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. Furthermore, you can also contact us if you need assistance in setting up healthcare or a medical chatbot. Hospitals need to take into account the paperwork, and file insurance claims, all the while handling a waiting room and keeping appointments on time. Check out this next article to find out more about how to choose the best healthcare chatbot one for your clinic or practice. It is safe to say that as we seem to reach the end of the tunnel with the COVID-19 pandemic, chatbots are here to stay, and they play an essential role when envisioning the future of healthcare.

You can foun additiona information about ai customer service and artificial intelligence and NLP. 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. 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.

They can automate bothersome and time-consuming tasks, like appointment scheduling or consultation. An AI chatbot can be integrated with third-party software, enabling them to deliver proper functionality. The rapid adoption of AI chatbots in healthcare leads to the rapid development of medical-oriented large language models.

What are the benefits of healthcare chatbots?

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. After the patient responds to these questions, the healthcare chatbot can then suggest the appropriate treatment. The patient may also be able to enter information about their symptoms in a mobile app. ChatGPT is capable of generating human-like responses to a wide range of queries, making it an ideal tool for healthcare applications.

Multi Utility Assistant or MUSA is an AI-powered virtual assistant (a chatbot) integrated with Fingent Hub – Fingent’s internal employee management system. MUSA enables employees to get answers to common queries related to HR and IT DevOps processes at Fingent. This way, you will get more usage out of it and have more tasks taken off your shoulders.

A chatbot is able to walk the patient through post-op procedures, inform him about what to expect, and apprise him when to make contact for medical help. The chatbot also remembers conversations and can report the nature of the patient’s questions to the provider. This type of information is invaluable to the patient and sets-up the provider and patient for a better consultation. Although scheduling systems are in use, many patients still find it difficult to navigate the scheduling systems.

This can provide people with an effective outlet to discuss their emotions and deal with them better. 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 chatbot use cases in healthcare 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. Chatbots can collect the patients’ data to create fuller medical profiles you can work with.

Reduce care costs

This frees up healthcare and public health workers to deal with more critical and complicated tasks and addresses capacity bottlenecks and constraints. Informative, conversational, and prescriptive healthcare chatbots can be built into messaging services like Facebook Messenger, Whatsapp, or Telegram or come as standalone apps. This application of triage chatbots was handy during the spread of coronavirus. AI text bots helped detect and guide high-risk individuals toward self-isolation. The technology helped the University Hospitals system used by healthcare providers to screen 29,000 employees for COVID-19 symptoms daily. This enabled swift response to potential cases and eased the burden on clinicians.

Many state or regional governments also developed their own chatbots; for instance, Spain has 9 different chatbots for different regions. At the onset of the pandemic little was known about Covid-19 and information and guidelines were in constant flux. The public had many questions and concerns regarding the virus which overwhelmed health providers and helplines. We were able to assess the type of information provided for 37 of the 42 information dissemination chatbots (see Table 2 in Appendix 1). Based on the information they provided, we identified 7 use cases for information dissemination (see Figure 2).

With healthcare chatbots, a healthcare provider can quickly respond to patient queries and provide follow-up care, improving healthcare outcomes. AI chatbots in the healthcare sector can be leveraged to collect, store, and maintain patient data. This can be recalled whenever necessary to help healthcare practitioners keep track of patient health, and understand a patient’s medical history, prescriptions, tests ordered, and so much more. In addition, using chatbots for appointment scheduling reduces the need for healthcare staff to attend to these trivial tasks. By automating the entire process of booking, healthcare practices can save time and have their staff focus on more complex tasks.

Because we fail to realize that at the end of the day, it is we, humans, who design chatbot conversations on a chatbot builder. So if you’re assessing your symptoms in a chatbot, you should know that a qualified doctor has designed the flow and built the decision tree, in the same manner, that they would ask questions and reach a conclusion. 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 the information in front of you — the name, previous visit, underlying health issue, and last appointment.

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. Over the last couple of years, especially since the onset of the COVID-19 pandemic, the demand for chatbots in healthcare has grown exponentially. Most risk assessment and disease surveillance chatbots did not follow-up on symptomatic users.

Such use cases are more sophisticated and would require the use of sensor or geolocation data. 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. Moreover, though many chatbots leveraged risk-assessment criteria from official sources (e.g., CDC), there was variability in criteria across chatbots.

Patients love speaking to real-life doctors, and artificial intelligence is what makes chatbots sound more human. In fact, some chatbots with complex self-learning algorithms can successfully maintain in-depth, nearly human-like conversations. With the rise of emerging technologies such as artificial intelligence and wearable technology, chatbots provide industries with new avenues for businesses to engage with their customers.

Integrate REVE Chatbot into your healthcare business to improve patient interactions and streamline operations. For healthcare institutions when it comes to increasing enrollment for different types of programs, raising awareness, medical chatbots are the best option. 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. There are many sensitive topics that a patient would rather discuss with a chatbot than with an actual human being. For instance, mental health is a very touchy subject, and many times, the patients may hesitate to open up to a medical practitioner.

From personalized treatment plans to remote patient monitoring, ChatGPT is transforming the way healthcare providers deliver care to their patients. For healthcare chatbots, this comes in the form of ethical issues, data privacy, and the requirement for human oversight. So, it’s now time to put it to practice and show you the 4 top AI-powered chatbots in healthcare you can see today. While chatbots still have some limitations currently, their trajectory is clear towards transforming both patient experiences and clinician workflows in healthcare. Organizations that strategically adopt conversational AI will gain an advantage in costs, quality of care and patient satisfaction over competitors still relying solely on manual processes.

Patients might need help to identify symptoms, schedule critical appointments, and so on. One of the most prevalent uses of chatbots in healthcare is to book and schedule appointments. Design-wise, ease of development, ease of access, and platform penetration have likely contributed to the prevalence of web-based and social media chatbots. For example, the built-in modules for chatbot design on social media platforms allow for fast and easy development. Coupled with the popularity of social media, this fueled deployment on social media apps such as Line, WhatsApp, Facebook Messenger, WeChat, and Telegram.

For instance, Kommunicate, a customer support automation platform, allows you to easily create and implement healthcare chatbots with their truly codeless bot integration capabilities. Healthcare chatbots act as the vehicle or medium between patients and their healthcare providers and can be designated as the very first point of interaction with a clinic, hospital, or any other healthcare organization. Chatbots are integral in telemedicine, serving as the first point of contact. They collect preliminary information, schedule virtual appointments, and facilitate doctor-patient communication.

Their capability to continuously track health status and promptly respond to critical situations will be a game-changer, especially for patients managing chronic illnesses or those in need of constant care. Healthcare chatbots are the next frontier in virtual customer service as well as planning and management in healthcare businesses. A chatbot is an automated tool designed to simulate an intelligent conversation with human users. AI-powered chatbots in healthcare can handle all your appointment bookings, cancellations, and rescheduling needs. Ultimately, this reduces wait times and improves convenience in patient care. AI-powered chatbots in healthcare are able to provide an initial symptom assessment when provided with answers to relevant questions.

What are healthcare chatbots?

Vik improved the medication adherence rate of patients and showed the overall satisfaction rate 93.95%. The worldwide AI in the healthcare industry is forecast to reach $208 billion by 2030. Every year more and more healthcare establishments thrive to provide better, faster, and more efficient patient experience. Customer service chatbot for healthcare can help to enhance business productivity without any extra costs and resources. Acquiring patient feedback is highly crucial for the improvement of healthcare services.

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. 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.

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. It features many tools, such as online doctor consultations, appointment settings, and, most importantly, a symptom checker. With the creation of ChatGPT and other such chatbots, it’s interesting to see the impact of AI on healthcare as a whole. Beyond triage, chatbots serve as an always-available resource for patients to get answers to health questions. You can also leverage outbound bots to ask for feedback at their preferred channel like SMS or WhatsApp and at their preferred time.

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. For example, when a chatbot suggests a suitable recommendation, it makes patients feel genuinely cared for.

Some ask general questions about exposure and symptoms (e.g., Case 7), whereas others also check for preexisting conditions to assess high-risk users (e.g., Case 1). Based on the assessed risk, the chatbot makes behavioral recommendations (e.g., self-monitor, quarantine, etc.). In cases of Covid-19 exposure combined with symptoms, recommendations across chatbots vary.

Its machine learning model allows the app to give near accurate or even accurate diagnoses. Also, make sure that you check customer feedback where shoppers tell you what they want from your bot. If the answer is yes, make changes to your bot to improve the customer satisfaction of the users. Just like with any technology, platform, or system, chatbots need to be kept up to date.

One of the most popular applications of chatbots within all industries is the automation of routine, time-consuming, and overly repetitive tasks. Healthcare professionals often face tons of work while managing the case files and reports of the patients. Chatbots can be a administrative stress-reliever for medical staff’s daily routine.

Provide Basic Diagnosis

Do medical chatbots powered by AI technologies cause significant paradigm shifts in healthcare? Neither does she miss a dose of the prescribed antibiotic – a healthcare chatbot app brings her up to speed on those details. As social messaging apps are gaining popularity, AI-powered chatbots are one of the best ways to reach out to a broader audience.

• Chatbot algorithms are trained on massive healthcare data, including disease symptoms, diagnostics, markers, and available treatments.
• So, you can save some time for your customer success manager and delight clients by introducing bots that help shoppers get to know your system straight from your website or app.
• A use case is a specific AI chatbot usage scenario with defined input data, flow, and outcomes.
• Skilled in mHealth app building, our engineers can utilize pre-designed building blocks or create custom medical chatbots from the ground up.
• Healthcare chatbots automate the information-gathering process while boosting patient engagement.

Acting as 24/7 virtual assistants, healthcare chatbots efficiently respond to patient inquiries. This immediate interaction is crucial, especially for answering general health queries or providing information about hospital services. A notable example is an AI chatbot, which offers reliable answers to common health questions, helping patients to make informed decisions about their health and treatment options.

This can include providing users with educational resources, helping to answer common mental health questions, or even just offering a listening ear through difficult times. 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. But healthcare chatbots have been on the scene for a long time, and the healthcare industry is projected to see a significant increase in market share within the artificial intelligence sector in the next decade.

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 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. 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.

A number of companies today have found a way to answer the question of how do I develop a medical chatbot with reasonable ease. 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. Automation has been a game-changer for several businesses across industries.

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. The process of filing insurance inquiries and claims is standardized and takes a lot of time to complete. The solution provides information about insurance coverage, benefits, and claims information, allowing users to track and handle their health insurance-related needs conveniently. These chatbots are equipped with the simplest AI algorithms designed to distribute information via pre-set responses. Only limited by network connection and server performance, bots respond to requests instantaneously. And since chatbots are often based on SaaS (software as a service) packages from major players like AWS, there’s no shortage of resources.

They also raise ethical issues and accuracy regarding their diagnostic skills. If you think of a custom chatbot solution, you need one that is easy to use and understand. This can be anything from nearby facilities or pharmacies for prescription refills to their business hours. Integration with a hospital’s internal systems is required to run administrative tasks like appointment scheduling or prescription refill request processing.

• A symptom checker bot, such as Conversa, can be the first line of contact between the patient and a hospital.
• And if an issue arises, the chatbot immediately alerts the bank as well as the customer.
• But the unprecedented challenges in the past few years have shown how vulnerable the sector really is.
• Every year more and more healthcare establishments thrive to provide better, faster, and more efficient patient experience.
• The rapid adoption of AI chatbots in healthcare leads to the rapid development of medical-oriented large language models.

With every significant disease outbreak and a growing population, providing equal care to every individual is becoming increasingly challenging. HealthJoy’s virtual assistant, JOY, can initiate a prescription review by inquiring about a patient’s dosage, medications, and other relevant information. It’s advisable to involve a business analyst to define the most required use cases.

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. These AI-driven platforms have become essential tools in the digital healthcare ecosystem, enabling patients to access a range of healthcare services online from the comfort of their homes.

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. They can also provide an efficient and more cost-effective way for healthcare providers to interact with patients at scale. Acropolium provides healthcare bot development services for telemedicine, mental health support, or insurance processing. Skilled in mHealth app building, our engineers can utilize pre-designed building blocks or create custom medical chatbots from the ground up.