Chatbot use cases in the Covid-19 public health response Journal of the American Medical Informatics Association

Health promotion use, such as lifestyle coaching, healthy eating, and smoking cessation, has been one of the most common chatbots according to our search. In addition, chatbots could help save a significant amount of health care costs and resources. Newer therapeutic innovations have come with a heavy price tag, and out-of-pocket expenses have placed a significant strain on patients’ financial well-being [23]. With chatbots implemented in cancer care, consultations for minor health concerns may be avoided, which allows clinicians to spend more time with patients who need their attention the most.

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. With the help of a healthcare chatbot, caregivers can access necessary details beforehand – such as frequency and severity of symptoms – which helps them to gain a better understanding chatbot use cases in healthcare of the patient’s current health situation. AI-powered chatbots in healthcare have a plethora of benefits for both patients and healthcare providers. Top health chatbots can enhance patient engagement, provide personalized approaches and recommendations, save time and resources for doctors, and improve the overall healthcare experience for everyone involved. Table 1 presents an overview of other characteristics and features of included apps.

Collecting patient data

They can be powered by AI (artificial intelligence) and NLP (natural language processing). Chatbots can provide medical information to patients and medical professionals alike. A chatbot can be programmed to answer common questions about symptoms and treatments and even conduct preliminary health diagnoses based on user input. This can help reduce wait times at busy clinics or hospitals and reduce the number of phone calls that doctors have to make to patients who have questions about their health. Usually, chatbots in healthcare use natural language processing (NLP) algorithms or large language models (LLM) and ML techniques to understand user queries and generate relevant responses.

After the bot collects the history of the present illness, machine learning algorithms analyze the inputs to provide care recommendations. Customer feedback surveys is another healthcare chatbot use case where the bot collects feedback from the patient post a conversation. It can be via a CSAT rating or a detailed rating system where patients can rate their experience for different types of services. From Docus.ai to MedPaLM 2, these chatbots improve almost every aspect of patient care. They streamline workflows for healthcare staff, engage patients in their own health, and give 24/7 assistance to virtually anyone in the world. Since medical chatbots learn from the training data they were given, the projections of this data can lead to inequalities and inaccuracies.

Types of chatbots in healthcare

But what healthcare chatbots can do is free up valuable time for medical personnel and administration staff to focus on the most complex and pressing healthcare needs. They can also provide an efficient and more cost-effective way for healthcare providers to interact with patients at scale. There are countless opportunities to automate processes and provide real value in healthcare. Offloading simple use cases to chatbots can help healthcare providers focus on treating patients, increasing facetime, and substantially improving the patient experience.

• Healthbots are potentially transformative in centering care around the user; however, they are in a nascent state of development and require further research on development, automation and adoption for a population-level health impact.
• Conversely, health consultation chatbots are partially automated proactive decision-making agents that guide the actions of healthcare personnel.
• Insurance bots offer a wide range of valuable chatbot use cases for both insurance providers and customers.
• First, it can perform an assessment of a health problem or symptoms and, second, more general assessments of health and well-being.
• It has been lauded as highly accurate, with detailed explanations and recommendations to seek further health advice for cases that need medical treatment.
• Patients can use text, microphones, or cameras to get mental health assistance to engage with a clinical chatbot.