Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review PMC

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 and memory more reliable. Input modality, or how the user interacts with the chatbot, was primarily text-based (96%), with seven apps (9%) allowing for spoken/verbal input, and three (4%) allowing for visual input.

Electronic health records have improved data availability but also increased the complexity of the clinical workflow, contributing to ineffective treatment plans and uninformed management [86]. For example, Mandy is a chatbot that assists health care staff by automating the patient intake process [43]. Using a combination of data-driven natural language processing with knowledge-driven diagnostics, this chatbot interviews the patient, healthcare chatbot use cases understands their chief complaints, and submits reports to physicians for further analysis [43]. Similarly, Sense.ly (Sense.ly, Inc) acts as a web-based nurse to assist in monitoring appointments, managing patients’ conditions, and suggesting therapies. Another chatbot that reduces the burden on clinicians and decreases wait time is Careskore (CareShore, Inc), which tracks vitals and anticipates the need for hospital admissions [42].

Healthcare Chatbots: Benefits, Use Cases, and Top Tools

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. During COVID, chatbots aided in patient triage by guiding them to useful information, directing them about how to receive help, and assisting them to find vaccination locations. A chatbot can also help patients to shortlist relevant doctors/physicians and schedule an appointment.

• Examples of individuated content include the healthbot asking for the user’s name and addressing them by their name; or the healthbot asking for the user’s health condition and providing information pertinent to their health status.
• Therefore, you should choose the right chatbot for the use cases that you will need it for.
• A healthcare chatbot also sends out gentle reminders to patients for the consumption of medicines at the right time when requested by the doctor or the patient.
• This allows for fewer errors and better care for patients that may have a more complicated medical history.

With all the disadvantages of chatbots in healthcare, it’s crucial to look at the good side as well. Healthcare Chatbots have been shown to improve patient satisfaction levels and reduce wait times significantly, which is why it’s no wonder many healthcare organisations are considering implementing them into their businesses. Several healthcare practices, such as clinics and diagnostic laboratories, have incorporated chatbots into their patient journey touchpoints. Such chatbots provide information about the nearest health checkup centers, health screening packages and their guidelines. As medical chatbots interact with patients regularly on websites or applications it can pick up a significant amount of user preferences.

Chatbots in Healthcare: Development and Use Cases

Stay on this page to learn what are chatbots in healthcare, how they work, and what it takes to create a medical chatbot. However, to achieve transformative results, the key lies in perfecting underlying technologies, starting natural language processing. It is a branch of AI that enables machines to analyze and understand human language data. This is a challenging task as humans have developed languages over thousands of years to communicate information and ideas. NLP algorithms work to convert human language into a form that machines can comprehend, involving processes like converting text into binary vectors and creating a matrix representation of sentences.

The total sample size exceeded seventy-eight as some apps had multiple target populations. Each of these use cases demonstrates the versatility and effectiveness of healthcare chatbots in enhancing patient care, streamlining operations, and improving overall healthcare delivery. They send queries about patient well-being, collect feedback on treatments, and provide post-care instructions. For example, a chatbot might check on a patient’s recovery progress after surgery, reminding them of wound care practices or follow-up appointments, thereby extending the care continuum beyond the hospital. 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.

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Chatbots have also been proposed to autonomize patient encounters through several advanced eHealth services. In addition to collecting data and providing bookings, Health OnLine Medical Suggestions or HOLMES (Wipro, Inc) interacts with patients to support diagnosis, choose the proper treatment pathway, and provide prevention check-ups [44]. Although the use of chatbots in health care and cancer therapy has the potential to enhance clinician efficiency, reimbursement codes for practitioners are still lacking before universal implementation. In addition, studies will need to be conducted to validate the effectiveness of chatbots in streamlining workflow for different health care settings. Nonetheless, chatbots hold great potential to complement telemedicine by streamlining medical administration and autonomizing patient encounters.

The search initially yielded 2293 apps from both the Apple iOS and Google Play stores (see Fig. 1). Healthily is an AI-enabled health-tech platform that offers patients personalized health information through a chatbot. From generic tips to research-backed cures, Healthily gives patients control over improving their health while sitting at home.