Top 5 Healthcare Chatbot Uses Cases & Examples 2023

healthcare chatbot use case diagram

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. 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. Chatbots have been around in some form for more than 50 years, but have evolved a lot since their inception. The chatbot’s humble beginnings stem from an attempt to satisfy the criterion of the Turing Test and prove the existence of artificial intelligence. This figure represents 34 percent of the 2016 National Health Expenditure at $3.3 trillion.

healthcare chatbot use case diagram

The demand-supply gap is widening in the hospital sector, which is costing the doctors their peace of mind and the hospitals their patients. As if the massive spike in patient intake and overworked health practitioners were not enough, healthcare professionals were battling with yet another critical aspect. But if the bot recognizes that the symptoms could mean a something serious, they can encourage the patient to see a doctor for some check-ups. The chatbot can also book an appointment for the patient straight from the chat.

Chatbot use cases: Gain a competitive advantage in every industry

Similarly, conversations between men and machines are not nearly judged by the outcome but by the ease of the interaction. Chatbot developers should employ a variety of chatbots to engage and provide value to their audience. The key is to know your audience and what best suits them and which chatbots work for what setting. 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.

Secondly, you can also automate reminders to customers through SMS to collect payments and set up revised payment plans. The end result is that your utility’s contact center team is flooded with calls when people’s Internet or electricity stops working, or when rates have gone up but their payment hasn’t been properly updated. The difference now is that accurate tracking information is widely available in real-time. Unfortunately, the problem is that in logistics, there are many variables and it can be difficult to get it right every time on a global scale.

Future of Chatbots in Healthcare

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 place where apps might play a role in the future mental health ecosystem is yet to be determined. These measurements will then be analyzed by the app to show patterns and habits that may be affecting the user’s moods and mindset. If you want to build an infobot that delivers on their expectations, here are some crucial factors to consider.

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Lastly, you have to ensure they enter the right details about your name, your reason for visit, etc. Depending on the approach you choose in the previous step, you’ll need to apply different techniques to train the algorithm. Some methods require data that is structured and labeled, while others are capable of making their inferences independently. This phase is fairly complicated and requires technical oversight by engineers versed in AI.

You don’t have to employ people from different parts of the world or pay overtime for your agents to work nights anymore. 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. The study focused on health-related apps that had an embedded text-based conversational agent and were available for free public download through the Google Play or Apple iOS store, and available in English. A healthbot was defined as a health-related conversational agent that facilitated a bidirectional (two-way) conversation.

healthcare chatbot use case diagram

Additionally, the use of healthbots in healthcare is a nascent field, and there is a limited amount of literature to compare our results. Furthermore, we were unable to extract data regarding the number of app downloads for the Apple iOS store, only the number of ratings. This resulted in the drawback of not being able to fully understand the geographic distribution of healthbots across both stores. These data are not intended healthcare chatbot use case diagram to quantify the penetration of healthbots globally, but are presented to highlight the broad global reach of such interventions. Another limitation stems from the fact that in-app purchases were not assessed; therefore, this review highlights features and functionality only of apps that are free to use. Lastly, our review is limited by the limitations in reporting on aspects of security, privacy and exact utilization of ML.

Chatbots can help you provide 24/7 customer service for your shoppers hassle-free. A Chatbot is a conversational agent that simulate human conversation, through text or voice messages. One of the first goals of a Chatbot is to interact with the user just like a human. When it comes to Health Chatbots, another main goal is to be able to get the correct answer to the user request. With just a fraction of the chatbot pricing, bots fill in the roles of healthcare professionals when need be so that they can focus on complex cases that require immediate attention. Informative chatbots usually take the form of pop-ups that appear on health-related resources.

healthcare chatbot use case diagram

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