Types of Healthcare Chatbots: Navigating Healthcare Innovation with AI

Yugasa Software Labs | Yugasa Bot
3 min readMay 22, 2024


An intriguing recent development is the introduction of artificial intelligence platforms, including conversational AI in healthcare.

Through the use of machine learning (ML) and natural language processing (NLP), conversational AI is revolutionizing the way healthcare professionals interact with their patients.

Conversational AI offers a variety of applications that enhance the quality of healthcare for both patients and providers, from scheduling appointments to tracking conditions.

In this post, let’s look at the top use cases of conversational AI in healthcare and factors for successful implementation.

Types of Healthcare Chatbots

Medical practitioners frequently utilize the following prominent chatbot types in the healthcare industry for their patients:

Prescriptive Chatbots

Prescriptive chatbots are made to provide patients with guidance and answers. Additionally, it can offer therapeutic answers and support for mental health.

Conversational Chatbots

Contextual tools that adapt to the needs of the user are what conversational chatbots are designed to be.

Besides, it comes with different maturity levels that offer a similar magnitude to the conversation.

This particular kind of chatbot has a higher level of intelligence and can respond with some pre-written responses.

This is due to the fact that medical chatbots do not read every line in the discussion; instead, they view it as a whole. In addition to this, conversational AI chatbot

development employs NLP and NLU to power the devices to comprehend human language.

Informative Chatbots

Pop-ups and alerts with pertinent information can be received by users via informative chatbots.

Websites for mental health services and medical facilities that are waiting to see patients for new illnesses both utilize this kind of chatbot.

According to the target demographic, informative chatbots are utilized to provide users with crucial input.

Thus, educational chatbots contribute to improving the patient experience.

Use cases of AI Healthcare Chatbot

Making easy appointment scheduling

Making and scheduling appointments is one of the most common uses of chatbots in the healthcare industry.

Using a chatbot to schedule appointments eliminates the tediousness of filling out numerous forms and streamlines the booking procedure overall.

They can connect patients with the appropriate doctors and specialists and offer details on things like doctor availability and scheduling.

Additionally, using chatbots for scheduling appointments decreases the need for healthcare staff to make it to these trivial tasks. Healthcare practices can save

time and free up staff members to work on more difficult duties by automating the entire booking process.

Appointment reminders and other critical notifications

Notifications and appointment reminders, including medication alerts, can be programmed into chatbots. Sophisticated chatbots can also monitor many health metrics and notify users when urgent medical attention is needed.

This is, again, another essential use case for chatbots in healthcare.

Maintaining patient records and allowing online consultations.

AI chatbots can be used in the healthcare industry to gather, retain, and manage patient data.

This can be called upon as needed to support medical professionals in monitoring patients’ health and comprehending their medical background, current medications, requested testing, and much more.

This makes physicians and diagnosticians more effective and enables them to provide constant, high-quality care.

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Originally published at https://helloyubo.com on May 22, 2024.



Yugasa Software Labs | Yugasa Bot

YugasaBot is a leading company developing Omnichannel chatbots for every business domain to improve and automate lead generation and customer support