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

We’ll tell you about the top chatbots in medicine today, along with their pros and cons. As a bonus, we’ll also cover the ambiguous future of AI-powered medical chatbots. Gathering user feedback is essential to understand how well your chatbot is performing and whether it meets user demands. Collect information about issues reported by users and send it to software engineers so that they can troubleshoot unforeseen problems. Integration with a hospital’s internal systems is required to run administrative tasks like appointment scheduling or prescription refill request processing.

This includes the triple aim of health care that encompasses improving the experience of care, improving the health of populations, and reducing per capita costs [21]. Chatbots can improve the quality or experience of care by providing efficient, equitable, and personalized medical services. We can think of them as intermediaries between physicians for facilitating the history taking of sensitive and intimate information before consultations. They could also be thought of as decision aids that deliver regular feedback on disease progression and treatment reactions to help clinicians better understand individual conditions. Preventative measures of cancer have become a priority worldwide, as early detection and treatment alone have not been effective in eliminating this disease [22]. Physical, psychological, and behavioral improvements of underserved or vulnerable populations may even be possible through chatbots, as they are so readily accessible through common messaging platforms.

What is a Healthcare Chatbot, and What does it do?

Sales chatbots are versatile tools designed to raise various aspects of the sales process. By leveraging artificial intelligence and natural language processing, sales chatbots streamline customer interactions, boost sales productivity, and deliver a more seamless and personalized shopping experience. Their ability to automate repetitive tasks, offer timely support, and provide targeted recommendations makes them valuable assets in optimizing sales strategies and achieving higher customer satisfaction and conversions.

This bodes well for patients with long-term illnesses like diabetes or heart disease symptoms. Now, let’s explore the main applications of artificial intelligence chatbots in healthcare in more detail. This way, clinical chatbots help medical workers allocate more time to focus on patient care and more important tasks. Discover what they are in healthcare and their game-changing potential for business.

Medical Diagnosis And Symptom Assessment

PHKG further integrates knowledge extracted from previous conversations of patients with chatbot. To sum up, having two background knowledge graphs (see Figure 1) to feed the core chatbot engine will enhance reasoning and prediction in support of improving health decision making. The primary role of healthcare chatbots is to streamline communication between patients and healthcare providers.

When your customer service representatives are unavailable, the chatbot will take over. It can provide answers to questions and links to resources for further information. 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. What’s more—bots build relationships with your clients and monitor their behavior every step of the way.

Appointment Scheduling

AI technologies can perform some narrow tasks or functions better than humans, and their calculation power is faster and memory more reliable. When physicians observe a patient presenting with specific signs and symptoms, they assess the subjective probability of the diagnosis. Such probabilities have been called diagnostic probabilities (Wulff et al. 1986), a form of epistemic probability. In practice, however, clinicians make diagnoses in a more complex manner, which they are rarely able to analyse logically (Banerjee et al. 2009).

• Further research and interdisciplinary collaboration could advance this technology to dramatically improve the quality of care for patients, rebalance the workload for clinicians, and revolutionize the practice of medicine.
• Chatbots are a perfect way to keep it simple and quick for the buyer to increase the feedback you receive.
• A symptom checker bot, such as Conversa, can be the first line of contact between the patient and a hospital.
• This enables them to make better decisions about what treatment options they should take while also giving them a better understanding of what is happening with each patient’s overall health situation to provide better healthcare.
• Patients are often overwhelmed by information in the discharge process, and a chatbot provides them with an avenue of communication that they can use to ask questions about upcoming procedures, recovery exercises, or medication.

Personalization features were only identified in 47 apps (60%), of which all required information drawn from users’ active participation. Forty-three of these (90%) apps personalized the content, and five (10%) personalized the user interface of the app. Examples of individuated content include the healthbot asking for the user’s name and addressing them by their name; or the healthbot asking for the user’s health condition and providing information pertinent to their health status.

If you’re interested in learning about all the benefits of healthcare chatbots, keep on reading through to the next section. 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. Considering their capabilities and limitations, check out the selection of easy and complicated tasks for artificial intelligence chatbots in the healthcare industry. Case in point, people recently started noticing their conversations with Bard appear in Google’s search results. This means Google started indexing Bard conversations, raising privacy concerns among its users.

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. The use of chatbots in healthcare helps improve the performance of medical staff by enabling automation. Pasquale (2020, p. 57) has reminded us that AI-driven systems, including chatbots, mirror the successes and failures of clinicians. However, machines do not have the human capabilities of prudence and practical wisdom or the flexible, interpretive capacity to correct mistakes and wrong decisions. As a result of self-diagnosis, physicians may have difficulty convincing patients of their potential preliminary, chatbot-derived misdiagnosis. This level of persuasion and negotiation increases the workload of professionals and creates new tensions between patients and physicians.

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. Medical chatbots are a great way to provide patients with the info and data they need efficiently and conveniently. They can help you provide better healthcare at lower costs, which every healthcare organisation should look into.

In the United States alone, more than half of healthcare leaders, 56% to be precise, noted that the value brought by AI exceeded their expectations. Also, it’s required to maintain the infrastructure to ensure the large language model has the necessary amount of computing power to process user requests. Once again, go back to the roots and think of your target audience in the context of their needs.

Help with emergency response/first aid

Our data collection was supplemented by accessing these chatbots to gather more information about their design and use. For chatbots not conversing in English, we used Google Translate to understand the interaction. We could not access chatbots that required organizational credentials, customer or patient accounts, local phone numbers (except for the USA), or national identification numbers for access. Instead, we relied on the literature and news articles for information on these.

Think about it—unless a person understands how your service works, they won’t use it. 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. Now you’re curious about them and the question “what are chatbots used for, anyway? In the ever-changing world of technology, where innovation knows no limit, only a few things have evoked as much awe as the exponential growth of computing. The highly capable chips and accelerators of today have transformed the entire digital ecosystem, starting with artificial intelligence.

• Additionally, focus areas including anesthesiology, cancer, cardiology, dermatology, endocrinology, genetics, medical claims, neurology, nutrition, pathology, and sexual health were assessed.
• It used pattern matching and substitution methodology to give responses, but limited communication abilities led to its downfall.
• While there are some challenges left to be addressed, we’re more than excited to see how the future of chatbots in healthcare unfolds.
• Early cancer detection can lead to higher survival rates and improved quality of life.

They provide preliminary assessments, answer general health queries, and facilitate virtual consultations. This support is especially important in remote areas or for patients who have difficulty accessing traditional healthcare services, making healthcare more inclusive and accessible. 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.

Hacking (1975) has reminded us of the dual nature between statistical probability and epistemic probability. Statistical probability is concerned with ‘stochastic laws of chance processes’, while epistemic probability gauges ‘reasonable chatbot use cases in healthcare degrees of belief in propositions quite devoid of statistical background’ (p. 12). Epistemic probability concerns our possession of knowledge, or information, meaning how much support is given by all the available evidence.