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

chatbot use cases in healthcare

Another crucial aspect to consider here are the ethical constraints when consulting on sensitive matters. It’s important to comply with the laws and regulations that govern the area of healthcare covered by the chatbot. AI chatbots for healthcare have multiple applications, but building one comes with responsibilities. Complex conversational bots use a subclass of machine learning (ML) algorithms we’ve mentioned before — NLP. In order to effectively process speech, they need to be trained prior to release.

Subsequently, these patient histories are sent via a messaging interface to the doctor, who triages to determine which patients need to be seen first and which patients require a brief consultation. Chatbots are software developed with machine learning algorithms, including natural language processing (NLP), to stimulate and engage in a conversation with a user to provide real-time assistance to patients. By engaging patients in regular conversations, they collect valuable information about a patient’s health status and lifestyle, leading to better health insights and personalized care plans. One of the use cases of chatbots for customer service is offering self-service and answering frequently asked questions.

Chatbots in treatment

This will minimize the shopper’s frustration and improve their satisfaction. 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. Chatbots were deployed on a variety of platforms, the most common being web-based (34 cases) and social media (22 cases). Less common were SMS (6 cases), phone call (4 cases), and standalone or healthcare apps (8 cases).

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The chatbots are all online operated and can be accessed by patients for their regular check-ups. They give automatic reminders to the patients and also schedule their medical appointments as per their interests. Moreover, chatbot use cases in healthcare they check the physicians’ schedules and make appointments accurately to avoid the clash of dates or delayed waiting periods. Healthcare chatbots can be used to create a link between the patient and the doctor.


Diagnostic chatbots use AI to diagnose medical conditions based on patient symptoms. Triage chatbots help patients determine their symptoms’ severity and guide them on when chatbot use cases in healthcare to seek medical attention. Doctors can use chatbots to remind patients to take their medications, track their progress, and provide information about their medications.

chatbot use cases in healthcare