Chatbots in healthcare: an overview of main benefits and challenges

benefits of chatbots in healthcare

Once again, go back to the roots and think of your target audience in the context of their needs. These chatbots are equipped with the simplest AI algorithms designed to distribute information via pre-set responses. Unfortunately, even the most advanced technology is not perfect, and we are talking about AI-powered bots here. Thus, you need to be extra cautious when programming a bot and there should be an option of contacting a medical professional in the case of any concern. Many patients dealing with various common health issues, such as irritable bowel syndrome, psoriasis, low libido, and discomfort during sexual activity, often experience feelings of embarrassment when discussing their health.

By automating responses to repetitive questions and routine administrative tasks, healthcare chatbots free up valuable time for healthcare staff, allowing them to focus more on critical care and patient interaction. Chatbots, also known as conversational agents, interactive agents, virtual agents, virtual humans, or virtual assistants, are artificial intelligence programs designed to simulate human conversation via text or speech. They expect that algorithms can make more objective, robust and evidence-based clinical decisions (in terms of diagnosis, prognosis or treatment recommendations) compared to human healthcare providers (HCP) (Morley et al. 2019).

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. But, as we move forward, we must remember that medical chatbots should be offered as a complement, not a replacement, to face-to-face interactions with healthcare professionals. Although the methods of measuring the outcomes were appropriate and they were comparable between intervention groups (in terms of tools, thresholds, and timing), the risk of bias in the measurement of the outcome was high in 5 studies (Figure 2).

It could be argued that artificial intelligence chatbots are more prone to errors than rule-based chatbots, but these errors can be minimized and diminished by extensive training and greater use [49]. Accordingly, we recommend developers concentrate efforts around artificial intelligence chatbots to improve the effectiveness. The population of interest was individuals who use chatbots for their mental health, but not physicians or caregivers who use chatbots for their patients. Eligible interventions were chatbots operating as standalone software or via a web browser. Chatbots that were integrated into robotics, serious games, SMS, or telephone systems were excluded.

The CancerChatbot by CSource is an artificial intelligence healthcare chatbot system for serving info on cancer, cancer treatments, prognosis, and related topics. This chatbot provides users with up-to-date information on cancer-related topics, running users’ questions against a large dataset of cancer cases, research data, and clinical trials. To develop a chatbot that engages and provides solutions to users, chatbot developers need to determine what types of chatbots in healthcare would most effectively achieve these goals. Therefore, two things that the chatbot developer needs to consider are the intent of the user and the best help the user needs; then, we can design the right chatbot to address these healthcare chatbot use cases. 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. Moreover, as patients grow to trust chatbots more, they may lose trust in healthcare professionals.

This will generate several files, including your training data, story data, initial models, and endpoint files, using default data. Some of these platforms, e.g., Telegram, also provide custom keyboards with predefined reply buttons to make the conversation seamless. Not only do these responses defeat the purpose of the conversation, but they also make the conversation https://chat.openai.com/ one-sided and unnatural. As phrased by Philosopher Paul Grice in 1975, the principle of cooperation holds that a conversation between two or more persons can only be useful if there is an underlying contextual agreement or cooperation. This background advances the conversation in an agreed direction and maintains the proper context to achieve a common purpose.

Pick the AI methods to power the bot

Healthcare chatbots enable you to turn all these ideas into a reality by acting as AI-enabled digital assistants. It revolutionizes the quality of patient experience by attending to your patient’s needs instantly. Another ethical issue that is often noticed is that the use of technology is frequently overlooked, with mechanical issues being pushed to the front over human interactions. The effects that digitalizing healthcare can have on medical practice are especially concerning, especially on clinical decision-making in complex situations that have moral overtones. As chatbots remove diagnostic opportunities from the physician’s field of work, training in diagnosis and patient communication may deteriorate in quality. It is important to note that good physicians are made by sharing knowledge about many different subjects, through discussions with those from other disciplines and by learning to glean data from other processes and fields of knowledge.

benefits of chatbots in healthcare

This chatbot tracks your diet and provides automated feedback to improve your diet choices; plus, it offers useful information about every food you eat – including the number of calories it contains, and its benefits and risks to health. Woebot is a chatbot designed by researchers at Stanford University to provide mental health assistance using cognitive behavioral therapy (CBT) techniques. People who suffer from depression, anxiety disorders, or mood disorders can converse with this chatbot, which, in turn, helps people treat themselves by reshaping their behavior and thought patterns. Informative chatbots provide helpful information for users, often in the form of pop-ups, notifications, and breaking stories. Furthermore, hospitals and private clinics use medical chat bots to triage and clerk patients even before they come into the consulting room.

They ask patients about their symptoms, analyze responses using AI algorithms, and suggest whether immediate medical attention is required or if home care is sufficient. While it’s challenging to predict exactly how medical chatbots will shape our future health management, considering their rapid advancement and the growing demand for digital innovation in healthcare, it’s hard to imagine a future without them. Many people believed that having the option to consult with a chatbot would encourage them to seek medical advice earlier—highlighting the critical role that chatbots could play in addressing sensitive health issues.

They never get tired and help reduce the workload for doctors, which makes patient care better. By combining chatbots with telemedicine, healthcare providers can offer patients a more personalized and convenient healthcare experience. Patients can receive support and care remotely, reducing the need for in-person visits and improving access to healthcare services. A total of 100 practicing GPs participated in an online research survey that examined their perceived benefits, challenges, and risks of using chatbots in health care. Overall, the findings demonstrated that physicians have a wide variety of perspectives on the use of health care chatbots for patients, with few major skews to one side or the other regarding agreement levels to a variety of characteristics. Almost half of the physicians perceived health care chatbots to be important for patients, especially for helping patients better manage their own health.

The level of conversation and rapport-building at this stage for the medical professional to convince the patient could well overwhelm the saving of time and effort at the initial stages. Chatbots are well equipped to help patients get their healthcare insurance claims approved speedily and without hassle since they have been with the patient throughout the illness. Not only can they recommend the most useful insurance policies for the patient’s medical condition, but they can save time and money by streamlining the process of claiming insurance and simplifying the payment process. Customer feedback is a second-to-none source of information on patient satisfaction and complaints they have.


We suggest the need for new approaches in professional ethics as the large-scale deployment of artificial intelligence may revolutionise professional decision-making and client–expert interaction in healthcare organisations. We argue that the implementation of chatbots amplifies the project of rationality and automation in clinical practice and alters traditional decision-making practices based on epistemic probability and prudence. This article contributes to the discussion on the ethical challenges posed by chatbots from the perspective of healthcare professional ethics. Medical chatbots are especially useful since they can answer questions that definitely should not be ignored, questions asked by anxious patients or their caregivers, but which do not need highly trained medical professionals to answer.

The Pros and Cons of Healthcare Chatbots – News-Medical.Net

The Pros and Cons of Healthcare Chatbots.

Posted: Wed, 04 May 2022 07:00:00 GMT [source]

In the current review, the comparators in all two-group trials were either no intervention or education. Most of the RCTs (5/6) used an appropriate random allocation sequence, concealed that allocation sequence, and had comparable groups. These studies were rated as having a low risk of bias in the randomization process (Figure 2). Given the lack of deviation and using an appropriate analysis to estimate the effect of assignment to the intervention, Chat PG a risk of bias due to deviations from the intended interventions was considered low for all studies (Figure 2). Search terms in this review were related to population (eg, mental disorder, mood disorder, and anxiety disorder) and intervention (eg, conversational agent, chatbot, chatterbot, and virtual agent). The search terms were derived from previous reviews and informatics experts interested in mental health issues [13].

Chatbots are programmed by humans and thus, they are prone to errors and can give a wrong or misleading medical advice. Needless to say, even the smallest mistake in diagnosis can result in very serious consequences for a patient, so there is really no room for error. Unfortunately, the healthcare industry experiences a rise of attacks, if compared to past years. For example, there was an increase of 84% in healthcare breaches, comparing the numbers from 2018 to 2021. Also, approximately 89% of healthcare organizations state that they experienced an average of 43 cyberattacks per year, which is almost one attack every week.

ChatBots In Healthcare: Worthy Chatbots You Don’t Know About – Techloy

ChatBots In Healthcare: Worthy Chatbots You Don’t Know About.

Posted: Fri, 27 Oct 2023 07:00:00 GMT [source]

Expertise generally requires the intersubjective circulation of knowledge, that is, a pool of dynamic knowledge and intersubjective criticism of data, knowledge and processes (e.g. Prior 2003; Collins and Evans 2007). Therefore, AI technologies (e.g. chatbots) should not be evaluated on the same level as human beings. AI technologies can perform some narrow tasks or functions better than humans, and their calculation power is faster benefits of chatbots in healthcare and memory more reliable. However, occasionally, these technologies are presented, more or less implicitly, as replacements of the human actor on a task, suggesting that they—or their abilities/capabilities—are identifiable with human beings (or their abilities/capabilities). The development—especially conceptual in nature—of ADM has one of its key moments in the aftermath of World War II, that is, the era of the Cold War.

By integrating healthcare automation with chatbots, the sector is witnessing a transformation in how patient care is administered. Virtual health assistants, powered by chatbot technology, are not just improving the patient experience but are also streamlining operations, making healthcare more accessible and efficient. Chatbots in healthcare stand out by providing instant access to vital information, which can be crucial in emergency situations.

Chatbots can be connected with electronic health records, systems that manage medical practices, and other healthcare-related platforms. This allows them to access and utilize patient data to provide personalized care and recommendations. Integration also streamlines workflows for healthcare providers by automating routine tasks and providing real-time patient information. For example, chatbots can schedule appointments, answer common questions, provide medication reminders, and even offer mental health support. These chatbots also streamline internal support by giving these professionals quick access to information, such as patient history and treatment plans. Survey questions were designed in consultation with medical scientists, Web developers, data scientists, and technology specialists with expertise in digital medicine.

In these ethical discussions, technology use is frequently ignored, technically automated mechanical functions are prioritised over human initiatives, or tools are treated as neutral partners in facilitating human cognitive efforts. So far, there has been scant discussion on how digitalisation, including chatbots, transform medical practices, especially in the context of human capabilities in exercising practical wisdom (Bontemps-Hommen et al. 2019). To fully leverage the potential of healthcare chatbots in the future, it is crucial for organizations to prioritize accuracy in data collection and feedback mechanisms.

And this involves arranging design elements in simple patterns to make navigation easy and comfortable. These platforms have different elements that developers can use for creating the best chatbot UIs. Almost all of these platforms have vibrant visuals that provide information in the form of texts, buttons, and imagery to make navigation and interaction effortless.

Chatbots can be accessed anytime, providing patients support outside regular office hours. This can be particularly useful for patients requiring urgent medical attention or having questions outside regular office hours. Healthcare providers must ensure that chatbots are regularly updated and maintained for accuracy and reliability. Participants were asked to answer all the survey questions for chatbots in the context of health care, referring to the use of chatbots for health-related issues.

Future of Chatbots in Healthcare

With our first-rate qualification in AI software development and broad awareness of the healthcare industry specifics, DICEUS is the best option for hiring as a chatbot development IT vendor. Contact us to obtain the best-in-class solution that will drastically enhance the customer experience of your patients and boost your pipeline routine. Trained to learn about people’s particular needs, chatbots can direct them to the nearest pharmacy, clinic, or healthcare center.

A narrative synthesis of 3 studies showed no statistically significant difference between chatbots and control group on subjective psychological wellbeing. The justification for the nonsignificant difference is the use of a nonclinical sample in the 3 studies. In other words, as participants already had good psychological wellbeing, the effect of using chatbots may be less likely to be significant.

The more data is included in the training file, the more “intelligent” the bot will be, and the more positive customer experience it’ll provide. A user interface is the meeting point between men and computers; the point where a user interacts with the design. Depending on the type of chatbot, developers use a graphical user interface, voice interactions, or gestures, all of which use different machine learning models to understand human language and generate appropriate responses. For example, for a doctor chatbot, an image of a doctor with a stethoscope around his neck fits better than an image of a casually dressed person.

benefits of chatbots in healthcare

The ability to scale up rapidly allows healthcare providers to maintain quality care even under challenging circumstances. As they interact with patients, they collect valuable health data, which can be analyzed to identify trends, optimize treatment plans, and even predict health risks. This continuous collection and analysis of data ensure that healthcare providers stay informed and make evidence-based decisions, leading to better patient care and outcomes. Given the weak and conflicting evidence found in this review, users should not use chatbots as a replacement for mental health professionals. Instead, health professionals should consider offering chatbots as an adjunct to already available interventions to encourage individuals to seek medical advice where appropriate and as a signpost to available support and treatment. For this reason, results should be viewed with caution by users, health care providers, caregivers, policymakers, and chatbot developers.

One significant advantage of healthcare chatbots is their ability to provide instant responses to common queries. Patients can receive immediate assistance on a wide range of topics such as medication information or general health advice. Moreover, chatbots empower patients to provide valuable feedback on their healthcare experiences. Through conversational interfaces, they create an environment where individuals feel comfortable sharing their thoughts, concerns, and suggestions. This feedback is invaluable for providers as it helps them identify areas that require improvement and enhance the overall quality of care.

The crucial question that policy-makers are faced with is what kind of health services can be automated and translated into machine readable form. By harnessing the power of artificial intelligence and natural language processing, healthcare chatbots offer numerous benefits. They enable patients to access personalized care anytime and anywhere, leading to improved patient satisfaction.

The possibilities are endless, and as technology continues to evolve, we can expect to see more innovative uses of bots in the healthcare industry. The development of AI chatbots demands meticulous training to prevent “AI hallucinations”—instances where AI disseminates incorrect information as truth. Such inaccuracies, if leading to patient harm, could severely tarnish a healthcare facility’s reputation.

Dr. Chatbot: What’s the Worst That Could Happen?

All participants gave informed consent to complete the survey, and the study received full ethics clearance from Advarra Institutional Review Board Services, an independent ethics committee. Theoretically, in some instances, chatbots may be better suited to help patient needs than a human physician because they have no biological gender, age, or race and elicit no bias toward patient demographics. Chatbots do not get tired, fatigued, or sick, and they do not need to sleep; they are cost-effective to operate and can run 24 hours a day, which is especially useful for patients who may have medical concerns outside of their doctor’s operating hours. Chatbots can also communicate in multiple different languages to better suit the needs of individual patients.

As you build your HIPAA-compliant chatbot, it will be essential to have 3rd parties audit your setup and advise where there could be vulnerabilities from their experience. Using these safeguards, the HIPAA regulation requires that chatbot developers incorporate these models in a HIPAA-complaint environment. This requires that the AI conversations, entities, and patient personal identifiers are encrypted and stored in a safe environment.

This research was internally funded and received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. This safeguard includes designating people, either by job title or job description, who are authorized to access this data, as well as electronic access control systems, video monitoring, and door locks restricting access to the data. Furthermore, Rasa also allows for encryption and safeguarding all data transition between its NLU engines and dialogue management engines to optimize data security.

A Peek into the Future of Healthcare Chatbots

There was moderate risk of bias due to confounding in all quasiexperimental studies (Figure 3). This judgment was based on a potential for confounding of the effect of intervention in all studies, and it was not clear whether authors in all studies used an appropriate analysis method to control for all confounding domains. The selection of participants was not based on participant characteristics observed after the start of the intervention in 5 studies, and the start of follow-up and start of intervention coincided for most participants in all studies.

AI Chatbots have revolutionized the healthcare experience by providing a seamless and interactive platform for patients to engage with. With the help of AI, chatbots create a more natural and user-friendly way for patients to interact with healthcare providers through their conversational interfaces. Chatbots assist doctors by automating routine tasks, such as appointment scheduling and patient inquiries, freeing up their time for more complex medical cases.

Chatbots can also send people educational videos and tutorials on this topic, which they will watch at their convenience. As a Business Analyst with 4+ years of experience at Acropolium, I have served as a vital link between our software development team and clients. With a comprehensive understanding of IT processes, I am able to identify and effectively address the diverse needs of firms and industries.

Therefore, it has become necessary to leverage digital tools that disseminate authoritative healthcare information to people across the globe. We built the chatbot as a progressive web app, rendering on desktop and mobile, that interacts with users, helping them identify their mental state, and recommending appropriate content. That chatbot helps customers maintain emotional health and improve their decision-making and goal-setting. Users add their emotions daily through chatbot interactions, answer a set of questions, and vote up or down on suggested articles, quotes, and other content.

By collecting relevant information from users who may have been exposed to the virus, these bots assist in identifying potential hotspots and preventing further spread. Users can report their symptoms or any recent close contacts they may have had through the chatbot interface, enabling health authorities to take swift action. One of the key advantages of chatbots is their ability to offer up-to-date information about testing centers, vaccination sites, and updated pandemic guidelines.

Having 10+ years of experience and clientele across the globe, he is always curious to stay ahead in the market by inculcating latest technologies and trends in Zealous. This data will train the chatbot in understanding variants of a user input since the file contains multiple examples of single-user intent. For instance, a Level 1 maturity chatbot only provides pre-built responses to clearly stated questions without the capacity to follow through with any deviations. It also increases revenue as the reduction in the consultation periods and hospital waiting lines leads healthcare institutions to take in and manage more patients. Physicians worry about how their patients might look up and try cures mentioned on dubious online sites, but with a chatbot, patients have a dependable source to turn to at any time.

As well, virtual nurses can send daily reminders about the medicine intake, ask patients about their overall well-being, and add new information to the patient’s card. In this way, a patient does not need to directly contact a doctor for an advice and gains more control over their treatment and well-being. And due to a fact that the bot is basically a robot, all these actions take little time and the appointment can be scheduled within minutes. In this way, a patient can conveniently schedule an appointment at any time and from anywhere (most importantly, from the comfort of their own home) while a doctor will simply receive a notification and an entry in their calendar. Healthcare chatbot diagnoses rely on artificial intelligence algorithms that continuously learn from vast amounts of data. Accordingly, the high risk of bias and low quality of evidence may reduce the validity of the findings and their generalizability.

At its core, a healthcare chatbot is an AI-powered software application that interacts with users in real-time, either through text or voice communication. By employing advanced machine learning algorithms and natural language processing (NLP) capabilities, these chatbots can understand, process, and respond to patient inquiries with remarkable accuracy and efficiency. We focus on a single chatbot category used in the area of self-care or that precedes contact with a nurse or doctor.

Do you need to admit patients faster, automate appointment management, or provide additional services? The goals you set now will define the very essence of your new product, as well as the technology it will rely on. Let’s take a moment to look at the areas of healthcare where custom medical chatbots have proved their worth. Complex conversational bots use a subclass of machine learning (ML) algorithms we’ve mentioned before — NLP. As patients continuously receive quick and convenient access to medical services, their trust in the chatbot technology will naturally grow.

Similarly, a picture of a doctor wearing a stethoscope may fit best for a symptom checker chatbot. A drug bot answering questions about drug dosages and interactions should structure its responses for doctors and patients differently. The medical chatbot matches users’ inquiries against a large repository of evidence-based medical data to provide simple answers. This medical diagnosis chatbot also offers additional med info for every symptom you input.

benefits of chatbots in healthcare

Individuals with limited mobility or geographical constraints often struggle to access healthcare services. Through virtual interactions, patients can easily consult with healthcare professionals without leaving their homes. This is particularly beneficial for those residing in remote areas where medical facilities are scarce. By leveraging chatbot technology, individuals can receive prompt medical advice and support regardless of their physical location.

As we balance the allure of AI and the need to protect people’s health, medical chatbots have the potential to improve access to health information—especially when it comes to health issues people typically don’t like to discuss. Given that there were no deviations from the intended intervention beyond what would be expected in usual practice in all studies, the risk of bias from the deviations from the intended interventions was considered low in all studies (Figure 3). The risk of bias due to missing outcome data was judged as low in 3 studies while it was rated as moderate in the remaining 3 studies due to availability of less than 95% of the participants’ data. The risk of bias in the measurement of the outcomes was serious in all studies (Figure 3); assessors of the outcome were aware of the intervention received by study participants, and this could affect the assessment of outcomes.

You can foun additiona information about ai customer service and artificial intelligence and NLP. The effect size of chatbots on acrophobia in this RCT [38] was substantially higher than the total effect size of therapist-assisted exposure treatment on phobias reported by a meta-analysis (2.0 versus 1.1) [46]. This indicates that chatbots may be equivalent to, if not better, exposure treatment delivered by a therapist in treating phobias. The first was an RCT conducted in Sweden [33], and the second was a quasiexperimental study conducted in China [37]. A meta-analysis was not carried out for this outcome as 1 study [37] did not report data required for the analysis.

Leave a Reply

Your email address will not be published. Required fields are marked *