A systematic review of chatbots in inclusive healthcare: insights from the last 5 years Universal Access in the Information Society

Thus, individuals are empowered with knowledge about their conditions and care options. These are just a few instances of modern innovations in such a demanding field. One more essential tool, used by about one-third of physicians, is the healthcare chatbot.

Using the integrated databases and applications, a chatbot can answer patients’ questions on a healthcare organization’s schedule, health coverage, insurance claims statuses, etc. Leveraging 35 years in AI technology, ScienceSoft develops medical chatbot products and custom solutions with cutting-edge functionality for healthcare providers. While they improved efficiency by freeing up human resources from mundane tasks, they were quite limited in their capacity to understand and respond to complex patient inquiries. Their functionality revolved around a set of predefined rules, and they lacked the ability to learn from past interactions or provide personalized responses.

What are the Three Basic Types of Medical Chatbots?

Some patients need constant monitoring after treatment, and intelligent bots can be useful here too. Patients or their caregivers can enter information about their daily activities and health status into a database through chatbots, which the respective physicians can view to investigate the condition and take appropriate action. The AI-enabled chatbot can analyze patients’ symptoms according to certain parameters and provide information about possible conditions, diagnoses, and medications. Sometimes a chatbot can even catch what a human doctor misses, especially when looking for patterns in many cases. Due to Delloite’s report “The future of AI in healthcare”, chatbots, as one of the essential digital assistants in healthcare, can be used in the scope of patient-oriented AI, clinician-oriented AI administrative, and operational-oriented AI.

Customize your AI chatbot with a friendly, empathetic tone suitable for healthcare interactions. Consider healthcare-specific branding, including colors, logos, and language that resonates with patients and staff. Each of these use cases iterates the vital role AI chatbots are playing in healthcare and hints at future advancements that can further transform this space. The idea is to integrate AI chatbots in healthcare to amplify human abilities and not replace them.

It’s vital to stay informed about market trends, focus on pertinent use cases, and choose an appropriate technology partner. This way, you can effectively leverage AI to enhance patient experience, reduce operational costs, and provide more efficient, accessible services. Master of Code fine-tuned and transitioned an existing internal communication chatbot of a biotechnology company onto a new system. This tool assists newbies by providing instant access to advice from supervisors.

The information is further used for quicker diagnosis and more effective treatment management. Having determined the ROI and the potential benefits for your medical business, we can now shift our focus to chatbot healthcare use cases. Tailoring to your distinct needs and objectives, you may find one or several of these scenarios particularly relevant. With this understanding, let’s look at the investment worthiness of bots in the domain.

We included experimental studies where chatbots were trialed and showed health impacts. You can foun additiona information about ai customer service and artificial intelligence and NLP. We chose not to distinguish between embodied conversational agents and text-based agents, including both these modalities, as well as chatbots with cartoon-based interfaces. The use of AI for symptom checking and triage at scale has now become the norm throughout much of the world, signaling a move away from human-centered health care https://chat.openai.com/ [9] in a remarkably short period of time. Recognizing the need to provide guidance in the field, the World Health Organization (WHO) has recently issued a set of guidelines for the ethics and principles of the use of AI in health [10]. Buoy Health offers an AI-powered health chatbot that supports self-diagnosis and connects patients to the right treatment endpoints at the right time based on self-reported symptoms.

Conversational chatbot

However, the future of these AI chatbots in relation to medical professionals is a topic that elicits diverse opinions and predictions [2-3]. The paper, «Will AI Chatbots Replace Medical Professionals in the Future?» delves into this discourse, challenging us to consider the balance between the advancements in AI and the irreplaceable human aspects of medical care [2]. However, some of these were sketches of the interface rather than the final user interface, and most of the screenshots had insufficient description as to what the capabilities were.

While being seriously impacted by the COVID-19, the healthcare industry is steadily gaining traction in terms of its digital transformation and is adopting more and more innovative technologies on a regular basis. Chatbots, being among the most affordable solutions, have become valuable assets for healthcare organizations worldwide, and their value is recognized by both medical professionals and patients. As the name implies, prescriptive chatbots are used to provide a therapeutic solution to a patient by learning about their needs and symptoms through a conversation. Such chatbot for medical diagnosis usually asks questions and encourages patients to share their symptoms in order to understand their current condition and what kind of treatment is recommended. Note though that a prescriptive chatbot cannot replace a doctor, and medical consultation is still needed. However, these bots can at least help patients understand what kind of treatment to request and what might be the issue, which is already a good start.

These savings stem from reduced labor costs and improved efficiency in handling administrative processes such as patient inquiries and appointment scheduling. As previously discussed, the pandemic contributed greatly to the development of chatbots; for months we were unable to leave the house, so the need arose to access services remotely. COVID-19-targeted apps help users book appointments for tests or tests, analyze symptoms to prevent false positives, and even contact their doctors [27, 28].

This information can be obtained by asking the patient a few questions about where they travel, their occupation, and other relevant information. The healthcare chatbot can then alert the patient when it’s time to get vaccinated and flag important vaccinations to have when traveling to certain countries. Healthcare chatbots can offer this information to patients in a quick and easy format, including information about nearby medical facilities, hours of operation, and nearby pharmacies and drugstores for prescription refills. They can also be programmed to answer specific questions about a certain condition, such as what to do during a medical crisis or what to expect during a medical procedure. Although research on the use of chatbots in public health is at an early stage, developments in technology and the exigencies of combatting COVID-19 have contributed to the huge upswing in their use, most notably in triage roles.

The findings showed a strong preference for chatbot responses in 78.6 percent of cases, underscoring the potential of technology to offer compassionate and informed healthcare support. AI chatbots analyze historical and real-time data to uncover health trends and patterns, supporting more informed healthcare management and research decisions. AI chatbots can assess symptoms provided by users, allowing healthcare establishments to detect severe conditions earlier and prioritize urgent cases in an automated and efficient manner. If an AI chatbot is integrated with EHR, it can assess a patient’s medical history from a wider angle, aiding medical professionals in developing personalized treatment plans and ongoing care. The chatbot processes gathered data and conducts initial analyses or triage using predefined algorithms or rules. In certain instances, AI chatbots may integrate with machine learning models to improve their ability to continuously understand and respond to user inputs.

For instance, HealthTap’s chatbot implementation reported a 50% decrease in patient wait times, illustrating the substantial impact on efficiency and accessibility in healthcare services. Chatbots handle queries related to insurance coverage, help clarify benefits, and guide patients through the often complex billing process, enhancing patient satisfaction and administrative efficiency. These chatbots assist patients in managing their medication schedules, providing reminders at designated times to help maintain the consistency of treatment, which is particularly critical for chronic conditions like diabetes or hypertension. Chatbots automate the scheduling process, making it easier for patients to find available times and book them without human intervention.

Such fast processing of requests also adds to overall patient satisfaction and saves both doctors’ and patients’ time. There are several reasons why chatbots help healthcare organizations elevate their patient care – let’s look at each in a bit of detail. In fact, they are sure to take over as a key tool in helping healthcare centers and pharmacies streamline processes and alleviate the workload on staff. Instead of waiting on hold for a healthcare Chat GPT call center and waiting even longer for an email to come through with their records, train your AI chatbot to manage this kind of query. You can speed up time to resolution, achieve higher satisfaction rates and ensure your call lines are free for urgent issues. With an AI chatbot, patients can send a message to your clinic, asking to book, reschedule, or cancel appointments without the hassle of waiting on hold for long periods of time.

AI chatbots need lots of data to train their algorithms, and some top-rated chatbots like ChatGPT will not work well without constantly collecting new data to improve the algorithms. This implies that AI chatbots will continue to compromise data security and privacy. Nevertheless, there are many ways to improve the collection, use, and disclosure of data, including overall data management and the algorithms themselves. Future studies are required to explore data desensitization methods, secure data management, and privacy-preserving computation techniques in web-based AI-driven health care applications. To keep a healthcare facility operational, medical staff are tasked with administrative tasks like filing records, data entry, and discharging patients.

Ongoing training keeps everyone in the loop and helps them make the most out of this useful tool. Monitoring its performance helps catch any glitches early on, ensuring that appointments and availability checks work without a hitch. Relying solely on AI for treatment recommendations may expose practitioners and organizations to legal risks if the decisions do not comply with established guidelines. I am looking for a conversational AI engagement solution for the web and other channels. ZN, VT, MLP, and VB conceived the study and wrote the first draft of the manuscript.

These chatbots are data-driven, meaning they learn from patterns, conversations, and previous experiences to improve the quality of their responses. Thus, the more data the developer enters, the more complex discussions the chatbot will be able to handle in the future. So far, machine learning (ML) chatbots provide the most positive user experience as they are closest to reproducing the human experience of interaction.

Assess your needs, considering desired chatbot healthcare use cases

Life is busy, and remembering to refill prescriptions, take medication, or even stay up to date with vaccinations can sometimes slip people’s minds. With an AI chatbot, you can set up messages to be sent to patients with a personalized reminder. While many patients appreciate receiving help from a human assistant, many others prefer to keep their information private. Chatbots are seen as non-human and non-judgmental, allowing patients to feel more comfortable sharing certain medical information such as checking for STDs, mental health, sexual abuse, and more.

We will present 2 author network maps using author names and research institutions affiliated with the listed authors. Authors and affiliated institutions will be the nodes within each network connected by edges representing the coauthorship of publications [32]. Edges will be weighted by the number of coauthorships between the same listed authors and their affiliated institutions. Join live or on-demand webinars on AI, Deep Learning & IT solutions to gain insights on tech, industry & market strategies.

It also helps doctors save time and attend to more patients by answering people’s most frequently asked questions and performing repetitive tasks. For example, ChatGPT, an AI chatbot developed by OpenAI, has sparked numerous discussions within the health care industry regarding the impact of AI chatbots on human health [13,14,33-38]. Such information asymmetry in interdisciplinary collaboration hinders health-advancing chatbot technology from reaching its full potential. A healthcare chatbot is an AI-driven tool designed to simulate conversation and assist patients and healthcare providers. These chatbots can handle a range of tasks, from scheduling appointments to providing medical advice and facilitating patient monitoring.

As long as they’re hosted on scalable servers, you can increase their capacity according to the service demand. Medical emergencies can happen anytime, and patients may require immediate assistance. Chatbots are available 24/7 to provide instant support and answer questions, ensuring patients can access medical care whenever needed. Relying on 35 years of experience in data science and AI and 19 years in healthcare, ScienceSoft develops use of chatbots in healthcare reliable AI chatbots for patients and medical staff. Still, as with any AI-based software, you may want to keep an eye on how it works after launch and spot opportunities for improvement. For example, your employees responsible for patient engagement can measure user satisfaction by asking patients to leave feedback on chatbot performance or periodically verifying chatbots on a random dialog sample to improve the technology.

If navigating the intricacies of chatbot development for healthcare seems daunting, consider collaborating with experienced software engineering teams. Chatbots provide 24/7 availability, allowing patients to access information and support whenever needed, increasing their engagement with the healthcare system. They can answer basic questions, schedule appointments, and manage tasks, all within the comfortable environment of a digital interface, attracting patients who prefer a self-service approach. Moreover, one of the potential limitations of this review is the exclusion of generative AI and LLMs such as ChatGPT. However, among the studies we reviewed, a standout comparison involved a health care chatbot, specialized in medical terminology, and ChatGPT.

Chatbots are also great for conducting feedback surveys to assess patient satisfaction. Increases care accessibility, improving overall community wellness and reducing healthcare disparities. The calculator compares existing expenses against those projected with a chat assistant in place. Consider using it or a similar tool when determining the value of your future solution. If something’s not working, or if the chatbot’s answers are confusing, you can usually contact the support team for the chatbot. No more waiting on hold for hours or feeling embarrassed about reaching out – these chatbots are there to help, 24/7.

They collect preliminary information, schedule virtual appointments, and facilitate doctor-patient communication. An example is a telehealth platform where a chatbot pre-screens patients, collects their symptoms and history, and schedules a video consultation with the relevant specialist, making telemedicine more streamlined and accessible. In the domain of mental health, chatbots like Woebot use CBT techniques to offer emotional support and mental health exercises. These chatbots engage users in therapeutic conversations, helping them cope with anxiety, depression, and stress. The accessibility and anonymity of these chatbots make them a valuable tool for individuals hesitant to seek traditional therapy.

It involves users in conversational therapy sessions and uses evidence-based strategies to assist people in managing stress, anxiety, and depression. With the chatbot remembering individual patient details, patients can skip the need to re-enter their information each time they want an update. This feature enables patients to check symptoms, measure their severity, and receive personalized advice without any hassle.

Watson understands, learns, and reasons out from large data sets across several areas, healthcare being one. Learn about their relevance, functionality, and the careful steps involved in building an effective healthcare AI chatbot. As technology becomes increasingly integral to our lives, it’s crucial to understand and leverage AI in sectors like healthcare. If there is a brief gap in a conversation, the chatbot has to begin all over again. However, collaborative efforts are being made to adapt these applications to more challenging situations.

Healthcare chatbots revolutionize patient interaction by providing a platform for continuous and personalized communication. These digital assistants offer more than just information; they create an interactive environment where patients can actively participate in their healthcare journey. A distinctive feature of a chatbot technology in healthcare is its ability to immediately respond to a request, and this is another big benefit. In traditional patient care, a patient might have to wait for quite some time to get an answer to their question.

In the wake of the technological revolution, healthcare remains no stranger to the scarcely believable wonders of Artificial Intelligence (AI). It’s important to note that these changes are not abrupt but are subtly interspersed across the healthcare matrix. The author would like to thank the reviewers of this paper for taking the time and energy to help improve the paper. Third, another concern is the lack of transparency regarding the origin of the sensitive data used to train the model. It can be difficult for people to know if their data have been used to train the model. In that case, they may want to have the ability to change or erase their data from the model.

A low bot response time significantly enhances user experience.→ Ada’s chatbot has impressively quick response times, often providing immediate solutions and guidance on your health conditions. AI chatbots can make the lives of doctors, nurses, and medical staff much easier. Based on the symptoms and the user’s medical history, the bot provides valuable health info, making medical advice accessible to everyone. Every aspect of modern healthcare, from advice to diagnosis, from treatment to follow-up, has applications for AI chatbots. With that set, let’s put on our adventure gear and embark on this exciting journey of discovering the top use cases of chatbots in healthcare. While AI chatbots can never replace human medical professionals, they certainly can aid in providing superior care and outcomes.

Chatbots are designed to assist patients and avoid issues that may arise during normal business hours, such as waiting on hold for a long time or scheduling appointments that don’t fit into their busy schedules. With 24/7 accessibility, patients have instant access to medical assistance whenever they need it. Healthcare chatbots are the next frontier in virtual customer service as well as planning and management in healthcare businesses. A chatbot is an automated tool designed to simulate an intelligent conversation with human users. There is no doubting the extent to which the use of AI, including chatbots, will continue to grow in public health. The ethical dilemmas this growth presents are considerable, and we would do well to be wary of the enchantment of new technologies [59].

Their capability to continuously track health status and promptly respond to critical situations will be a game-changer, especially for patients managing chronic illnesses or those in need of constant care. It is also worth noting that modern healthcare bots are highly advanced and are capable of providing truly extensive services to both patients and doctors. This being said, the implementation of a smart bot is becoming a necessity, as these bots reduce the amount of mundane work while allowing doctors to provide better and more personalized patient care.

A chatbot is able to walk the patient through post-op procedures, inform him about what to expect, and apprise him when to make contact for medical help. The chatbot also remembers conversations and can report the nature of the patient’s questions to the provider. This type of information is invaluable to the patient and sets-up the provider and patient for a better consultation. The chatbot, called Tess, offered goal-setting behavioral interactions through prompts and responses designed for adolescents dealing with obesity and pre-diabetes symptoms. This theme refers to chatbot use as favoring efficient care for targeted users.

There is a risk that a chatbot might offer the wrong provision of medical data. The main reason behind this is that chatbots may not know the appropriate factors related to the patient’s medical issue and can offer the wrong diagnosis which can be dangerous. Here, in this blog, we will learn everything about chatbots in the healthcare industry and see how beneficial they are. 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.

They also provide doctors with quick access to patient data and history, enabling more informed and efficient decision-making. One of the most impactful roles of healthcare chatbots is in health education. They provide personalized, easy-to-understand information about diseases, treatments, and preventive measures. This continuous education empowers patients to make informed health decisions, promotes preventive care, and encourages a proactive approach to health.

• Even though AI chatbots are perceived to have limited capacity, they have an enormous potential to acquire and collect new information from various data sources and capture people’s responses.
• Chatbots have significantly contributed to the healthcare industry, offering numerous benefits to patients and healthcare providers.
• That’s why a business owner should build a chatbot with the knowledge of the relevant regulations.
• The goal should be to leverage both AI and human expertise to optimize patient outcomes, orchestrating a harmonious symphony of humans and technology.

With smart chatbots, not only the patient receives a reply within seconds, but exactly when the information is needed the most. And one more great thing about chatbots is that one bot can process multiple requests simultaneously, while a doctor cannot do so. And thus, a chatbot can handle numerous requests in a much more efficient manner. Healthcare insurance claims are complicated, stressful, and not something patients want to deal with, especially if they are in the middle of a health crisis.

Most of these applications are aimed at providing the right diagnoses so that the patients who use them do not go to hospitals, clogging up the emergency rooms. However, a part of these is aimed at a more specific category of users focusing precisely on a single disease [10] or even cancer [11, 13]. The process of filing insurance inquiries and claims is standardized and takes a lot of time to complete. The solution provides information about insurance coverage, benefits, and claims information, allowing users to track and handle their health insurance-related needs conveniently.

“Chatbot” AND (“accessibility” OR “hospital” OR “healthcare”) AND “Conversational agents “. A chatbot-managed text flow can help patients dealing with chronic illnesses to manage their symptoms. The best way to continuously improve your patients’ experience is to gather customer feedback. A chatbot can’t make a diagnosis, but it can answer questions with few variables — like whether nausea is a side effect of a medication.

Talk with our experts on how to make the most of chatbot solutions in healthcare. This free AI-enabled medical chatbot offers patients the most likely diagnoses based on evidence. The bot also provides useful health advice and information about medicines, service providers, and doctors and is compatible with all popular platforms.

As an important component of proactive healthcare services, chatbots are already used in hospitals, pharmacies, laboratories, and even care facilities. The ubiquitous use of smartphones, IoT, telehealth, and other related technologies fosters the market’s expansion. Market Research Future found that the medical chatbot market in 2022 was valued at $250.9 million and will increase to $768.1 million by 2028, demonstrating a sustained growth rate of 19.8% in a year. Now that we know what medical chatbots are and how they can be used within healthcare. However, is a chatbot healthcare technology a must-have for the current industry?

They can assist health care providers in providing patients with information about a condition, scheduling appointments [2], streamlining patient intake processes, and compiling patient records [3]. The chatbots can potentially act as virtual doctors or nurses to provide low-cost, around-the-clock AI-backed care. According to the US Centers for Disease Control and Prevention, 6 in 10 adults in the United States have chronic diseases, such as heart disease, stroke, diabetes, and Alzheimer disease. Under the traditional office-based, in-person medical care system, access to after-hours doctors can be very limited and costly, at times creating obstacles to accessing such health care services [3].

The bot collects all needed information, sends it to a doctor, and notifies the patient once the refill is ready to be collected. These campaigns can be sent to relevant audiences that will find them useful and can help patients become more aware and proactive about their health. Patients can interact with the bot if they have more questions like their dosage, if they need a follow-up appointment, or if they have been experiencing any side effects that should be addressed.