2023.02.13 AI News

Healthcare Chatbots: Benefits, Use Cases, and Top Tools

Chatbot for Healthcare IBM watsonx Assistant

chatbot healthcare use cases

Chatbots can help bridge the communication gap between patients and providers by providing timely answers to questions and concerns. 24/7 access to care, which is especially beneficial for those who live in rural areas or have limited transportation options. AI can be used to create conversational chatbots that can assist patients with their medical knowledge and engage with them throughout their care journey. The chatbot can easily guide patients through registration, hospital workflow, and questions about medicine. This can help streamline the patient onboarding process and improve overall engagement and satisfaction.

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Doctors also have a virtual assistant chatbot that supplies them with necessary info – Safedrugbot. This chatbot offers healthcare providers data the right information on drug dosage, adverse drug effects, and the right therapeutic option for various diseases. There are three primary use cases for the use of chatbot technology in healthcare – informative, conversational, and prescriptive. These chatbots vary in their conversational style, the depth of communication, and the type of solutions they provide. Chatbots are all the rage, so it’s no surprise that healthcare chatbots are gaining traction and attracting interest from entrepreneurs, venture capitalists, and patient advocates alike. Notably, as per a survey conducted by Statista, an average of 42.75% of Clinicians believe that patients will use chatbots for treatment on a wide scale in the future.

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This AI is perfect for making reports such as patient summaries, hospital discharge summaries, or simply filling out forms. Users can schedule and easily order prescriptions from nearby pharmacies right from their mobile. Such automation and intelligence in managing refills will prevent clinic visits and save time. An intelligent conversational AI platform can simplify this process by allowing employees to submit requests, communicate updates, and track statuses, all within the same system and in the form of a natural dialogue.

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And if you’re searching for a technology partner for your healthtech project, don’t hesitate to reach out to us. Many providers now transform this section into an interactive chatbot feature on the homepage dedicated to responding to general inquiries. On the other hand, the design of the Chatbot completely depends upon the purpose; whether the need is for informative or conversational Chatbot. Her aim is to provide knowledge to users by sharing the knowledge about the latest trends about contact centers.

Q. What are some of the features of a chatbot for healthcare that make it a must-have?

Chatbots not only automate the process of gathering patient data but also follows a more engaging experience for the patients since they’re conversational in their approach. You can guide the user on a chatbot and ensure your presence with a two-way interaction as compared to a form. Once you integrate the chatbot with the hospital systems, your bot can show the expertise available, and the doctors available under that expertise in the form of a carousel to book appointments.

  • Embracing new technologies – such as robotic process automation enabled with chatbots – is key to achieving the interdependent goals of reducing costs and serving patients better.
  • In the therapeutic practice, chatbot can also assist medical stuff with patient monitoring & remote care.
  • Taking the lead in AI projects since 1989, ScienceSoft’s experienced teams identified challenges when developing medical chatbots and worked out the ways to resolve them.
  • They can provide many opportunities to facilitate their jobs or improve their performance but, ultimately, it’s human doctors who are going to deliver the care.
  • Family history collection is a proven way of easily accessing the genetic disposition of developing cancer to inform risk-stratified decision-making, clinical decisions, and cancer prevention [63].

Without sufficient transparency, deciding how certain decisions are made or how errors may occur reduces the reliability of the diagnostic process. The Black Box problem also poses a concern to patient autonomy by potentially undermining the shared decision-making between physicians and patients [99]. The chatbot’s personalized suggestions are based on algorithms and refined based on the user’s past responses. The removal of options may slowly reduce the patient’s awareness of alternatives and interfere with free choice [100]. Chatbots drive cost savings in healthcare delivery, with experts estimating that cost savings by healthcare chatbots will reach $3.6 billion globally by 2022. Despite the saturation of the market with a variety of chatbots in healthcare, we might still face resistance to trying out more complex use cases.

However, using a separate application to schedule appointments is challenging for many patients. Many applications require multi-level information requirements to access the doctor’s appointment book. The more complex the process, the more likely patients will cancel their plans. Today we’re seeing how healthcare chatbots are instrumental in disrupting the way healthcare service achieves an added layer of excellence.

Chatbots are great for automating routine tasks like appointment scheduling and various administrative inquiries. By doing so, they can reduce the need for human intervention, help allocate resources wisely, and therefore help organizations reduce costs. Chatbots can educate patients and offer them various tips and suggestions to promote healthy behaviors. They can offer information on medical conditions, treatment options, and lifestyle recommendations to help patients take care of their health on a daily basis.

Appointment Scheduling

The gathering of patient information is one of the main applications of healthcare chatbots. By using healthcare chatbots, simple inquiries like the patient’s name, address, phone number, symptoms, current doctor, and insurance information can be utilized to gather information. When using a healthcare chatbot, a patient is providing critical information and feedback to the healthcare business. This allows for fewer errors and better care for patients that may have a more complicated medical history. The feedback can help clinics improve their services and improve the experience for current and future patients.


This way they won’t have to carry the documents with them to their appointments or upload/email them to the healthcare company’s website. The documents will be stored in an encrypted folder and would only be accessible with the patient’s permission. The inadequacy in mental healthcare services demands technological interventions. Care bots hold great potential in both cases, i.e., those needing or providing mental health services. They are not intended to replace the psychiatrists but rather to be a helping hand for them. Through a simple conversational virtual assistant, patient feedback can help you understand patient behavior towards your services and help you improve accordingly.

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The ethical dilemmas this growth presents are considerable, and we would do well to be wary of the enchantment of new technologies [59]. For example, the recently published WHO Guidance on the Ethics and Governance of AI in Health [10] is a big step toward achieving these goals and developing a human rights framework around the use of AI. However, as Privacy International commented in a review of the WHO guidelines, the guidelines do not go far enough in challenging the assumption that the use of AI will inherently lead to better outcomes [60]. To enhance healthcare services, it is very imperative to feedback. Deploying a chatbot for healthcare is beneficial to understand what your patients think regarding your hospital, treatment, doctors, and overall experience of them via simple automated conversation.

chatbot healthcare use cases

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