Top 10 Chatbots in Healthcare: Insights & Use Cases in 2023

From providing product recommendations to handling customer inquiries and facilitating smooth checkout processes, eCommerce chatbots play an important role in enhancing the shopping experience and driving success for online businesses. Now, if NLP allows the system to understand and reply back in human language, machine learning, a set of techniques that enables machines to learn from past and current data, optimizes processes for more accurate results. By combining these two, conversational AI systems recognize various phrasings of the same intent, including spelling mistakes, slang and grammatical errors and provide accurate responses to user queries. For example, a chatbot will help users to check their symptoms and, on the basis of the diagnosis, book an appointment, answer their questions, and even offer direct telemedicine consultation with a doctor through video chat. After such consultation, the doctor will prescribe medicine and the prescription will be stored in the system.

Chatbots for mental health can help patients feel better by having a conversation with the person. Patients can talk about their stress, anxiety, or any other feelings they’re experiencing at the time. This can provide people with an effective outlet to discuss their emotions and deal with them better. Chatbots can collect the patients’ data to create fuller medical profiles you can work with.

Instant access to medical knowledge

These digital assistants offer more than just information; they create an interactive environment where patients can actively participate in their healthcare journey. Chatbots will play a crucial role in managing mental health issues and behavioral disorders. With advancements in AI and NLP, these chatbots will provide empathetic support and effective management strategies, helping patients navigate complex mental health challenges with greater ease and discretion.

By automating the transfer of data into EMRs (electronic medical records), a hospital will save resources otherwise spent on manual entry. An important thing to remember here is to follow HIPAA compliance protocols for protected health information (PHI). Insurance bots offer a wide range of valuable chatbot use cases for both insurance providers and customers. These AI-powered chatbot can efficiently provide policy information, generate personalized insurance quotes, and compare various insurance products to help customers make informed decisions. For instance, ecosystem stakeholders’ traditionally slow approach to adopting new technologies restricts access to training data, making it difficult to get the NLP and ML-driven systems up and running. On top of it, many even struggle with the preparation of this data and setting up dialog flow to make the conversation flow seamlessly.

How to get the most out of your chatbot?

Chatbots are now able to provide patients with treatment and medication information after diagnosis without having to directly contact a physician. Such a system was proposed by Mathew et al [30] that identifies the symptoms, predicts the disease using a symptom–disease data set, and recommends a suitable treatment. Although this may seem as an attractive option for patients looking for a fast solution, computers are still prone to errors, and bypassing professional inspection may be an area of concern. Chatbots may also be an effective resource for patients who want to learn why a certain treatment is necessary. Madhu et al [31] proposed an interactive chatbot app that provides a list of available treatments for various diseases, including cancer.

• To develop social bots, designers leverage the abundance of human–human social media conversations that model, analyse and generate utterances through NLP modules.
• We gathered information on these to (a) derive a comprehensive set of chatbot public health response use cases and (b) identify their design characteristics.
• Furthermore, methods of data collection for content personalization were evaluated41.
• If you change anything in your company or if you see a drop on the bot’s report, fix it quickly and ensure the information it provides to your clients is relevant.
• On a macro level, healthcare chatbots can also monitor healthcare trends and identify rising issues in a population, giving updates based on a user’s GPS location.

Mental health chatbots and their usually calm and non-intimidating UI design can provide an alternative—allowing healthcare consumers to access professional healthcare guidance whenever and wherever they need it, at a fraction of the cost. Babylon Health is an app company partnered with the UK’s NHS that provides a quick symptom checker, allowing users to get information about treatment and services available to them at any time. Not only can customers book through healthcare chatbot use cases the chatbot, but they can also ask questions about the tests that will be conducted and get answers in real time. Here are five ways the healthcare industry is already using chatbots to maximize their efficiency and boost standards of patient care. 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 Secret Ingredients to Manage Support Cases Successfully

Through the rapid deployment of chatbots, the tech industry may gain a new kind of dominance in health care. AI technologies, especially ML, have increasingly been occupying other industries; thus, these technologies are arguably naturally adapted to the healthcare sector. In most cases, it seems that chatbots have had a positive effect in precisely the same tasks performed in other industries (e.g. customer service).

Because of the AI technology, it was also able to deploy the bot in 19 different languages to reach the maximum demographics. For each app, data on the number of downloads were abstracted for five countries with the highest numbers of downloads over the previous 30 days. Chatbot apps were downloaded globally, including in several African and Asian countries with more limited smartphone penetration. The United States had the highest number of total downloads (~1.9 million downloads, 12 apps), followed by India (~1.4 million downloads, 13 apps) and the Philippines (~1.25 million downloads, 4 apps).

The 5 Best Chatbot Use Cases in Healthcare Gnani

Furthermore, if there was a long wait time to connect with an agent, 62% of consumers feel more at ease when a chatbot handles their queries, according to Tidio. As we’ll read further, a healthcare chatbot might seem like a simple addition, but it can substantially impact and benefit many sectors of your institution. Many patients find making appointments with their preferred mental health practitioners difficult due to waiting times and costs.

• As a computer application that uses ML to mimic human conversation, the underlying concept is similar for all types with 4 essential stages (input processing, input understanding, response generation, and response selection) [14].
• For chatbots not conversing in English, we used Google Translate to understand the interaction.
• Finance bots can effectively monitor and identify any warning signs of fraudulent activity, such as debit card fraud.

This can be addressed by integrating with electronic medical records and other healthcare systems and adopting tools like dbt. This chatbot use case also includes the bot helping patients by practicing cognitive behavioral therapy with them. But, you should remember that bots are an addition to the mental health professionals, not a replacement for them.