AI in Healthcare: Innovative use cases and applications

And ultimately, that stretching out of your resources negatively impacts your service levels—and your bottom line. In fact, a survey by Oracle found that chatbot usage could lead to annual savings of more than half of the upfront costs for businesses. Statista reports that approximately 92% of students globally express interest in receiving personalized support and information regarding their degree progress. In 2023, businesses may need to embrace not only text chatbots but also voice assistants due to their increasing popularity. Projections indicate that the number of voice chatbots is expected to exceed 8 billion by 2023. As a result, real-life AI use cases in healthcare can now be found even in small medical offices and medical technology startups.

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. The main job of healthcare chatbots is to ask simple questions, for instance, has a patient been experiencing symptoms such as cold, fever, and body ache? From this, the chatbot technology analyzes the inputs of the users and offers solutions through a text or voice message. The solutions might be like a patient needs to take a test, schedule a doctor-patient communication appointment, or take emergency care. Today, chatbots have emerged as powerful AI-driven tools with diverse applications across various industries.

What’s the future of AI and chatbots in healthcare?

In the future, healthcare chatbots will get better at interacting with patients. The industry will flourish as more messaging bots become deeply integrated into healthcare systems. When using a healthcare chatbot, a patient is providing critical information and feedback to the healthcare business. This allows for fewer errors and better care for patients that may have a more complicated medical history. You can foun additiona information about ai customer service and artificial intelligence and NLP. The feedback can help clinics improve their services and improve the experience for current and future patients.

• As well, virtual nurses can send daily reminders about the medicine intake, ask patients about their overall well-being, and add new information to the patient’s card.
• Healthcare chatbot is regularly trained using public datasets, such as Wisconsin Breast Cancer Diagnosis and COVIDx for COVID-19 diagnosis (WBCD).
• The goals you set now will define the very essence of your new product, as well as the technology it will rely on.
• They offer a diverse range of applications that streamline support processes, and optimize operations.
• Over the last couple of years, especially since the onset of the COVID-19 pandemic, the demand for chatbots in healthcare has grown exponentially.

They are expected to become increasingly sophisticated and better integrated into healthcare systems. Advances in natural language processing and understanding will make chatbots more interactive and human-like, while AI will continue to enhance diagnosis, treatment planning, patient care, and administrative tasks. HR chatbots offer a wide range of applications to streamline human resources processes and enhance employee experiences. These use cases for chatbots include assisting with benefits enrollment, answering frequently asked questions, guiding employees through onboarding, and conducting exit interviews. Now, we will explore the valuable chatbot use cases in optimizing HR operations and delivering a seamless employee experience.

Question: What is an example of using an AI chatbot in health care?

The bot can suggest suitable healthcare plans based on how it interprets human input. Automating medication refills is one of the best applications for chatbots in the healthcare industry. Due to the overwhelming amount of paperwork in most doctors’ offices, many patients have to wait for weeks before filling their prescriptions, squandering valuable time. Instead, the chatbot can check with each pharmacy to see if the prescription has been filled and then send a notification when it is ready for pickup or delivery. By automating all of a medical representative’s routine and lower-level responsibilities, chatbots in the healthcare industry are extremely time-saving for professionals.

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. According to market research reports, the size of intelligent healthcare AI chatbots is anticipated to reach approximately $70 billion in the next five years. Intends to reduce operational costs and deliver top-notch digital patient experiences, health operators are investing and offering AI chatbot integrated digital services. Chatbots can help doctors communicate with patients more conveniently than ever before.

Medication management

Patients are encouraged by the tailor-made Chatbot, which addresses their misunderstandings regarding the surgery and provides information responsively and conversationally. By communicating with users in a human-like manner, a medical Chatbot aids the job of a healthcare provider and helps them enhance their performance. As per the recent report from Accenture, it is predicted that 40% of healthcare service providers have been continually using Chatbots to address the customers’ needs better. Various Chatbot use cases in the healthcare industry have proven beneficial in terms of improving customer responses. The rapid adoption of AI chatbots in healthcare leads to the rapid development of medical-oriented large language models.

Massive amounts of healthcare data, including disease symptoms, diagnoses, indicators, and therapies, are used to train chatbots. Healthcare chatbot is regularly trained using public datasets, such as Wisconsin Breast Cancer Diagnosis and COVIDx for COVID-19 diagnosis (WBCD). Differently intelligent conversational chatbots may comprehend user questions and respond depending on pre-defined labels in the training data.

It will require a fine balance between human empathy and machine intelligence to develop chatbot solutions that can address today’s healthcare challenges. There are patients who wouldn’t prefer to have a chat about their medical issues with a bot. Therefore, chatbots are one of the reasons behind patients feeling detached from their healthcare professionals. For patients who require healthcare support regularly, chatbots are really beneficial as they help patients in having an effective connection with the doctors.

Chatbots can use text, as well as images, videos, and GIFs for a more interactive customer experience and turn the onboarding into a conversation instead of a dry guide. 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. Then you’ll be interested in the fact that chatbots can help you reduce cart abandonment, delight your shoppers with product recommendations, and generate more leads for your marketing campaigns. Launching an informative campaign can help raise awareness of illnesses and how to treat certain diseases. Before flu season, launch a campaign to help patients prevent colds and flu, send out campaigns on heart attacks in women, strokes, or how to check for breast lumps. These campaigns can be sent to relevant audiences that will find them useful and can help patients become more aware and proactive about their health.

Users may struggle to identify the most appropriate response to their query using the website search tool, for example, since they aren’t using the same vocabulary as the FAQ. Alternatively, they may have a number of queries that need them to navigate to various sites. A national food-services organization in North America had an existing operational Conversational healthcare chatbot use case diagram AI solution. In order to improve customer service, the process required some user clarification to better understand the refund scenario. Master of Code offered a team to expand the primary bot solution, providing end-to-end build and support for the service. This improvement was attributed to the consistent and clear application of the rules governing refunds.

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. Undoubtedly, medical chatbots will become more accurate, but that alone won’t be enough to ensure their successful acceptance in the healthcare industry. As the healthcare industry is a mix of empathy and treatments, a similar balance will have to be created for chatbots to become more successful and accepted in the future. A healthcare chatbot example for this use case can be seen in Woebot, which is one of the most effective chatbots in the mental health industry, offering CBT, mindfulness, and dialectical behavior therapy (DBT).

Besides directing chats to live agents, the chatbot can also guide customers to create and alter settings like balance alerts and SMS payment reminders, and much more. This ensures that not only can their present issue be sorted, but the likelihood they will need to get in touch for the same problem in the future will fall. Yes, chatbots can’t be expected to do everything—nor do we believe they should. They have a very unique skill set, but the goal isn’t to have bots replace humans. Many chatbot systems’ AI works by taking basic inputs (like an answer to a yes/no question that you might click on a website’s chat box) or by simply scanning for identified general keywords.

Patients save time and money with Chatbots, while doctors can devote more attention to patients, making it a win-win situation for both. Chatbots with access to medical databases retrieve information on doctors, available slots, doctor schedules, etc. Patients can manage appointments, find healthcare providers, and get reminders through mobile calendars.

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.

This will help healthcare professionals see the long-term condition of their patients and create a better treatment for them. Also, the person can remember more details to discuss during their appointment with the use of notes and blood sugar readings. 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.

In cases of Covid-19 exposure combined with symptoms, recommendations across chatbots vary. Chatbots from healthcare facilities provide links to establish a video call or make an appointment or to initiate a telemedicine session (e.g., Case 4). Other chatbots ask users to call an emergency number or their physician and provide links to official resources (e.g., Case 5).

By streamlining the business process, healthcare Chatbot use cases can also provide users with a personalized experience when booking appointments. All healthcare providers are eager to assist their patients, but their burden prevents them from providing the best service possible. A Chatbot and its use cases in healthcare can help healthcare businesses to ensure 24/7 availability, answer repetitious inquiries, and arrange appointments on the go.

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. Healthcare chatbots are intelligent assistants used by medical centers and medical professionals to help patients get assistance faster. They can help with FAQs, appointment booking, reminders, and other repetitive questions or queries that often overload medical offices. Enterprises worldwide believe that healthcare chatbot use cases are poised to create a paradigm shift in B2B & B2C interactions. Between the appointments, feedback, and treatments, you still need to ensure that your bot doesn’t forget empathy.

Whereas chatbots resolve the questions in seconds, enhancing customer experience and decreasing teams’ workload. Chatbots are beneficial in saving time that otherwise they would have spent traveling to the hospital. Chatbots play a crucial role in the healthcare industry as they help enhance efficiency in no time. There are several benefits of chatbots in the healthcare industry, and it’s not just for practitioners but also for patients.

This personalized approach enhances treatment efficacy, ensuring that interventions are finely tuned to the specific needs and nuances of the patient, ultimately improving overall healthcare outcomes. The healthcare Chatbot use case presented here demonstrates how Chatbots in the healthcare business automate patient interaction. You can also design a Chatbot for your hospital with the help of a Chatbot development company to provide unparalleled ease to your patients. Large healthcare organizations are always on the lookout for new staff to hire onboard.

This data-driven approach accelerates discoveries, aids drug development, and improves clinical practices. For instance, researchers might gather patient records, clinical trial results, and genetic data to analyze the effectiveness of a new cancer treatment. By applying statistical methods and AI algorithms, they could identify specific genetic markers that indicate which patients are likely to respond positively to the treatment. This allows for targeted and personalized therapies, improving patient outcomes while avoiding unnecessary treatments for those less likely to benefit. Through data analysis, medical researchers can uncover insights that lead to more precise and effective medical interventions.

Everyone who has ever tried smart AI voice assistants, such as Alexa, Google Home, or Siri knows that it’s so much more convenient to use voice assistance than to type your questions or commands. Teaching your new buyers how to utilize your tool is very important in turning them into loyal customers. Think about it—unless a person understands how your service works, they won’t use it. About 80% of customers delete an app purely because they don’t know how to use it.

It can be via a CSAT rating or a detailed rating system where patients can rate their experience for different types of services. 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. When we talk about the healthcare sector, we aren’t referring solely to medical professionals such as doctors, nurses, medics etc. but also to administrative staff at hospitals, clinic and other healthcare facilities.

A SaaS chatbot can be deployed on the company’s website to assist visitors in understanding the software’s features, benefits, and pricing tiers. The chatbot can provide instant responses to frequently asked questions, guide users through the product’s functionality, and even help with the onboarding process. It can also help with scheduling appointments and gathering preliminary information from clients. By using chatbots to deflect high call volumes, your service levels will improve. Plus, your tenants will be happier because they can submit tickets 24/7—not just during business hours—and get automatic notifications when there are updates to their submissions.

This healthcare lead generation chatbot provides instant conversational responses and makes connecting simple for patients. And also, it can help care healthcare providers to surpass patient expectations and improve patient outcomes. In this fast-moving world, everything is shifting to digital where the dependency on human is less.

Healthcare practices and hospitals often face high call volumes and long wait times for patients who are looking to book appointments, find information, or ask for medical advice. This can lead to patient frustration and delays in accessing the care they need. Add an AI-powered chatbot with machine learning capabilities to your service provision. This can guide customers with troubleshooting and also direct them to instructional media like video tutorials or the self-service knowledge base on your website.

Chatbots can provide initial recommendations and guide patients on appropriate next steps by asking relevant questions and analysing responses. This reduces unnecessary visits to healthcare facilities and ensures patients receive timely and accurate guidance. They provide patients instant access to information, answering their queries regarding symptoms, treatments, and preventive measures. Nonetheless, economies of effort can occur (as we have observed) through off-the shelf solutions from vendors that organizations can customize to their needs. The 15 use cases that we have identified provide a basis for identifying functionality and customization options for different organizations or constituents.

Chatbots are computer programs designed to interact with users through conversational interfaces. They are versatile tools applicable to various industries and business functions, such as customer service, sales, marketing, and internal process automation. These numerous use cases for chatbots have contributed to their widespread adoption as virtual assistants. LeewayHertz harnesses sophisticated AI algorithms to build solutions adept at analyzing medical imaging data, leading to heightened accuracy in diagnostics and more efficient interpretation of complex medical images. By integrating AI-driven image analysis, healthcare providers can ensure improved diagnostic precision and faster decision-making in patient care. LeewayHertz specializes in developing AI solutions that significantly help healthcare businesses improve their operations.

Patients and plan members can use Chatbots to get insurance services and healthcare resources. Furthermore, combining RPA or other automation systems with Chatbots, insurance claim processing, and healthcare billing can be automated. The Chatbot is setting a new benchmark in the healthcare sector since its evolution. Whether it’s about managing customer service in a small healthcare company or the large one, AI-powered Chatbot helps meet business goals faster.

Artificial Intelligence technology can automate and streamline the entire healthcare process. The Electronic Healthcare Records Management System is one of the best examples of AI innovation in the Healthcare field. Healthcare chatbots deliver information approved by doctors and help seniors schedule appointments if needed. The chatbots relieve stress by answering specific health-related questions and creating strong patient engagement. One of the best use cases for chatbots in healthcare is automating prescription refills.

AI-based conversational chatbots are assisting people in booking online doctor consultations smoothly. Based on the user needs and appropriate doctor availability, AI digital assistants books slots for patients. It will eradicate the process of standing in a queue or calling too many times for hospital receptionists for taking appointments. Hence, AI chatbots in healthcare will reduce the waiting times of patients and let them interact with doctors at the right time. From enhancing patient experience and helping medical professionals, to improving healthcare processes and unlocking actionable insights, medical or healthcare chatbots can be used for achieving various objectives. Poised to change the way payers, medical care providers, and patients interact with each other, medical chatbots are one of the most matured and influential AI-powered healthcare solutions developed so far.

You can use chatbots to guide your customers through the marketing funnel, all the way to the purchase. Bots can answer all the arising questions, suggest products, and offer promo codes to enrich your marketing efforts. To discover how Yellow.ai can revolutionize your healthcare services with a bespoke chatbot, book a demo today and take the first step towards an AI-powered healthcare future. Although scheduling systems are in use, many patients still find it difficult to navigate the scheduling systems.

A health insurance bot guides your customers from understanding the basics of health insurance to getting a quote. While use cases were combined in many distinct combinations, which of these are most effective is an open question. Thirty chatbots were embedded within a specific organization’s platform (e.g., Case 1, Clara on the CDC’s website). Embedding a chatbot within a high-traffic platform can enhance its visibility and discoverability and reduce the effort required to engage with it. A website might not be able to answer every question on its own, but a chatbot that is easy to use can answer more questions and provide a personal touch. 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.

This provides patients with an easy gateway to find relevant information and helps them avoid repetitive calls to healthcare providers. AI and chatbot integration in healthcare refers to the application of Artificial Intelligence and automated response systems (chatbots) within the healthcare sector. This technology can assist with tasks such as scheduling appointments, reminding patients of medication times, answering medical inquiries, providing healthcare information, and more. Conversational AI is changing how healthcare providers engage with patients by utilizing natural language processing (NLP) and machine learning (ML). From booking appointments to monitoring conditions, conversational AI has multiple uses that improve the healthcare experience for both patients and clinicians.