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6 Important Healthcare Chatbot Use Cases in 2023

Top 5 Healthcare Chatbot Uses Cases & Examples 2023

healthcare chatbot use case diagram

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. And now, thanks to automated rent reminders sent via two-way SMS and the ability to pay rent online, you’re also seeing more on-time payments. Mental health chatbots and therapy apps are still in their very early stages, requiring extensive research and streamlining to ensure the proper treatment of patients. While these chatbots may be an additional resource for patients seeking initial help, but there is no replacement traditional therapy channels and the human connection that professional therapists and counselors provide. There is a potential danger of oversimplifying the condition and the recommendations, and it’s unclear exactly how this will be navigated in the years ahead.

healthcare chatbot use case diagram

Visual input consisted of mood and food trackers that utilized emojis or GIFs. Visual output, in this case, included the use of an embodied avatar with modified expressions in response to user input. Eighty-two percent of apps had a specific task for the user to focus on (i.e., entering symptoms). There were 47 (31%) apps that were developed for a primary care domain area and 22 (14%) for a mental health domain. Involvement in the primary care domain was defined as healthbots containing symptom assessment, primary prevention, and other health-promoting measures. Additionally, focus areas including anesthesiology, cancer, cardiology, dermatology, endocrinology, genetics, medical claims, neurology, nutrition, pathology, and sexual health were assessed.

Chatbot use case #5: A regional airline

They can even provide credit scores, set budgets, and help to manage them. This chatbot use case is all about advising people on their financial health and helping them to make some decisions regarding their investments. The banking chatbot can analyze a customer’s spending habits and offer recommendations based on the collected data. Bots can collect information, such as name, profession, contact details, and medical conditions to create full customer profiles.


An AI-enabled chatbot is a reliable alternative for patients looking to understand the cause of their symptoms. On the other hand, bots help healthcare providers to reduce their caseloads, which is why healthcare chatbot use cases increase day by day. 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. Healthcare chatbots can offer insurance services along with healthcare resources to the patients.

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But, these aren’t all the ways you can use your bots as there are hundreds of those depending on your company’s needs. Pick the chatbot that has healthcare chatbot use case diagram the right functionality for your business needs. This way, you will get more usage out of it and have more tasks taken off your shoulders.

  • This is why healthcare has always been open to embracing innovations that aid professionals in providing equal and sufficient care to everyone.
  • Human connection and correct diagnosis are still the most important factors in treating mental health disorders – and we can expect that to remain the case for many years to come.
  • The NLU is the library for natural language understanding that does the intent classification and entity extraction from the user input.
  • From there, you can consider whether those can or should become self-service chatbot journeys—or whether they’re so complicated that leaving them as is would be better for customer satisfaction.
  • Building a chatbot from scratch may cost you from US $48,000 to US $64,000.
  • A healthcare chatbot can serve as an all-in-one solution for answering all of a patient’s general questions in a matter of seconds.

Initially proposed by digital product and service company ustwo, Thriveport’s lead clinical psychologists Drs. Edrick Dorian and Drew Erhardt  accepted the collaboration to build Moodkit. Ayn serves as AI Analyst at Emerj – covering artificial intelligence use-cases and trends across industries.

To facilitate this assessment, we develop and present an evaluative framework that classifies the key characteristics of healthbots. Further, it is unclear how the performance of NLP-driven chatbots should be assessed. The framework proposed as well as the insights gleaned from the review of commercially available healthbot apps will facilitate https://www.metadialog.com/ a greater understanding of how such apps should be evaluated. Customer feedback surveys is another healthcare chatbot use case where the bot collects feedback from the patient post a conversation. It can be via a CSAT rating or a detailed rating system where patients can rate their experience for different types of services.

  • Healthcare chatbots can offer insurance services along with healthcare resources to the patients.
  • This is where natural language processing and understanding tools come in.
  • If the condition is not too severe, a chatbot can help by asking a few simple questions and comparing the answers with the patient’s medical history.
  • 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.

The bot proactively reaches out to patients and asks them to describe the experience and how they can improve, especially if you have a new doctor on board. You can also ask for recommendations and where they can bring about positive changes. Find out where your bottlenecks are and formulate what you’re planning to achieve by adding a chatbot to your system. Do you need to admit patients faster, automate appointment management, or provide additional services? The goals you set now will define the very essence of your new product, as well as the technology it will rely on.

And research shows that bots are effective in resolving about 87% of customer issues. But the unprecedented challenges in the past few years have shown how vulnerable healthcare chatbot use case diagram the sector really is. With every significant disease outbreak and a growing population, providing equal care to every individual is becoming increasingly challenging.

healthcare chatbot use case diagram

Helping users more accurately self-diagnose not only helps with decreasing professional workloads but also discourages the spread of misinformation. People are less likely to rely on unreliable sources if they have access to accurate healthcare advice from a healthcare chatbot. 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. Now that we’ve gone over all the details that go into designing and developing a successful chatbot, you’re fully equipped to handle this challenging task. Doctors also have a virtual assistant chatbot that supplies them with necessary info – Safedrugbot. This chatbot offers healthcare providers data the right information on drug dosage, adverse drug effects, and the right therapeutic option for various diseases.

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