Do you know what are Healthcare Chatbots? Top 20 bot examples

An Overview of Chatbot-Based Mobile Mental Health Apps: Insights From App Description and User Reviews PMC

use of chatbots in healthcare

The division of task-oriented and social chatbots requires additional elements to show the relation among users, experts (professionals) and chatbots. Most chatbot cases—at least task-oriented chatbots—seem to be user facing, that is, they are like a ‘gateway’ between the patient and the HCP. COVID-19 screening is considered an ideal application for chatbots because it is a well-structured process that involves asking patients a series of clearly defined questions and determining a risk score (Dennis et al. 2020). For instance, in California, the Occupational Health Services did not have the resources to begin performing thousands of round-the-clock symptom screenings at multiple clinical sites across the state (Judson et al. 2020). To limit face-to-face meetings in health care during the pandemic, chatbots have being used as a conversational interface to answer questions, recommend care options, check symptoms and complete tasks such as booking appointments.

use of chatbots in healthcare

By having an intelligent chatbot to answer these queries, healthcare providers can focus on more complex issues. Patients can quickly assess symptoms and determine their severity through healthcare chatbots that are trained to analyze them against specific parameters. The chatbot can then provide an estimated diagnosis and suggest possible remedies. Lastly one of the benefits of healthcare chatbots is that it provide reliable and consistent healthcare advice and treatment, reducing the chances of errors or inconsistencies. However, healthcare providers may not always be available to attend to every need around the clock.

Definitions and different types of chatbots in healthcare

This shift has the potential to revolutionize healthcare, as patients are now able to access personalized care at any time without the need for lengthy phone calls or office visits. In the early stages of their implementation, chatbots in healthcare were primarily used as basic customer service tools, offering pre-programmed responses to common queries. These rudimentary chatbots were designed to handle simple tasks such as scheduling doctor’s appointments, providing general health information, medical history or reminding patients about medication schedules. Chatbots are software programs that can imitate human behavior and undertake specific tasks by intelligently conversing with users [1]. They are conversational agents that use text and speech recognition to engage with users [31].

This is followed by the display of possible diagnoses and the steps the user should take to address the issue. This ai chatbot for healthcare has built-in speech recognition and natural language processing to analyze speech and text to produce relevant outputs. Time is an essential factor in any medical emergency or healthcare situation. This is where chatbots can provide instant information when every second counts. When a patient checks into a hospital with a time-sensitive ailment the chatbot can offer information about the relevant doctor, the medical condition and history and so on.

How Much Does It Cost to Develop a Chatbot?

As technology for artificial intelligence and natural language comprehension advances, more sophisticated healthcare chatbot systems become available. But before implementing chatbots field, it’s imperative to define expectations. A chatbot can be useful for people who constantly text or contact their doctors with questions about upcoming procedures and appointment times. These chatbots also provide patients with health maintenance recommendations. They send out automated messages to remind people to take their meds and supply pertinent medical data. Informative, conversational, and prescriptive — these are the three main categories all healthcare chatbots fall into.

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Thus, new technologies require system-level assessment of their effects in the design and implementation phase. At the same time, many chatbot use cases also raise some ethical considerations. With a greater reliance on technology for patient care, there is potential for errors or misunderstandings that could lead to misdiagnoses or incorrect treatments.


In conclusion, the evolution of chatbots into sophisticated query tools has the potential to transform the healthcare industry. Chatbots in healthcare are no longer limited to simple customer service roles. They are now becoming capable of providing personalized care and assistance to patients, handling even the most complex inquiries. As chatbots continue to evolve, healthcare professionals and technology companies should consider the ethical implications of AI and ensure that patient privacy remains a top priority. Ultimately, chatbots have the potential to revolutionize healthcare, providing patients with the personalized healthcare services they deserve. Chat and artificial intelligence (AI) are transforming appointment scheduling in healthcare, making it simpler and more efficient.

These chatbots are not meant to replace licensed mental health professionals but rather complement their work. Cognitive behavioral therapy can also be practiced through conversational chatbots to some extent. Healthcare chatbots offer the convenience of having a doctor available at all times.

What are the Disadvantages of a Chatbot for Healthcare?

They are primarily a tool used to improve practice management, but can also assist in diagnosis. Sophisticated AI-based chatbots require a great deal of human resources, for instance, experts of data analytics, whose work also needs to be publicly funded. More simple solutions can lead to new costs and workload when the usage of new technology creates unexpected problems in practice.

use of chatbots in healthcare

I know it is an AI program and not a real person but it still ends up making me feel worse and not better. It’s so healing to be able to vent whenever you need and receive positive feedback from an unbiased source. The lessons Woebot teaches really helps to gain a more optimistic perspective on what you’re going through and motivates you to make changes. It assumes the problem is always a mental distortion and doesn’t leave much room for actual horrible stuff that happens to people other than death of a person (it is working with a very narrow definition of). It too often put me in a situation of having to select between incorrect responses when nothing was actually appropriate and then suffer through the resulting wrong-headed advice. Needs a maybe button between the yes and no and a way to say, You’re on the wrong track, before it decides it knows all your usual problems and keeps assuming them over and over with no way to remediate.

Ready to Build Your Chatbot?

Like how a human customer representative would interact with a user, chatbots do the same using artificial intelligence. According to research by the AMA, about 55% of treatment nonadherence accounts for miscommunication between patients and their health providers. Medical chatbots have the potential to become the missing link, providing necessary information and reminding patients to take medication on time. Doctor appointment chatbot development is gaining traction with many health providers.

use of chatbots in healthcare

The Telemedicine industry is drastically improving from these various chatbots and is changing lives. 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.

use cases of chatbots in healthcare

However, one of the downsides is patients’ overconfidence in the ability of chatbots, which can undermine confidence in physician evaluations. Improved AI and natural language processing have the potential to revolutionize the industry, allowing patients to access personalized care anytime, anywhere. Chatbots are now capable of understanding natural language processing, which allows users to interact with them in a more organic manner. Additionally, chatbots can now access electronic health records and other patient data to provide more personalized responses to patient queries. Conversely, in our findings, because of convenience and easy access, users expressed their intentions to replace professional support with virtual support.

The most crucial aspect of a chatbot is the “conversational design,” which is defined between the user and the bot. Although the guidance chatbots offer is usually correct and scientifically supported, it will be a computer program speaking back to the users, usually in the shape of a nice character, to facilitate their ability to communicate. User expectations can vary while interacting with chatbots as opposed to intelligent Q/A systems with predefined patterns of questions. Therefore, we only considered chatbots with the capability to start and continue conversations with users. To ensure that our list includes apps that fall under this definition, one of the authors opted to download each app separately (for the iOS platform) and use it for at least 3 days.

  • The aim is to provide a snapshot of some of the

    most exciting work published in the various research areas of the journal.

  • Pasquale (2020, p. 57) has reminded us that AI-driven systems, including chatbots, mirror the successes and failures of clinicians.
  • Therefore, AI technologies (e.g. chatbots) should not be evaluated on the same level as human beings.
  • Hence, they could underestimate the basic extend of a patient’s requirements.
  • Instead of rushing headlong and giving you advice straight away, the bot will start by politely offering its help.

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