Microsoft Power Virtual Agents AI Powered Chatbots

Using chatbot technology to improve referral management

healthcare chatbot use cases

If this healthcare chatbot is not able to help you with a query, it will schedule a live video consultation with a real doctor. During this crisis, such chatbot examples offer an easy and convenient way to get medical consultation at home. This is because chatbots can be connected to a company’s database, and, using AI, can quickly find the information required by the sales agent regarding the company’s product or service. Even if a customer doesn’t buy a product, a chatbot can still try to get their email address and try to schedule a demo. Because of this, a company or business can provide a very competent sales agent that can bring them sales 24/7 at the fraction of the cost it would take to build a full-fledged sales team.

Especially in rural areas in India, access to healthcare is restricted, and many medical clinics are overworked and overcrowded. Suyamprakasam rationalized that many individuals living in the less urbanized parts of the country would have a particular need to consult with specialists, such as dermatologists and gynecologists. This proclivity towards personalized health advice is one of the main appeals of health chatbots. For example; patients pick another available appointment on the calendar, or contact a booking agent by phone or web chat. And patients can see relevant letters, documents and surveys that support the appointment.

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Checking for inventory is something a customer can do by searching for and visiting a particular product page. And as for making recommendations, support agents know that coming up with suggestions can take up a lot of time. Prior to the event, they hype it up by marketing, in hopes of attracting as big an audience as possible. Now, it’s up to the customer support team to guide the audience and answer any questions that come up. We’ll show you how companies of all shapes and sizes are using chatbots for various tasks in the fields of Customer Service, Marketing and Sales.

healthcare chatbot use cases

A study by Accenture revealed that 54% of users would prefer having tools to help monitor their budget and help make spending decisions. The power of machine learning can be leveraged to enhance and perform a range of tasks in healthcare. Different types of machine learning have different training methods and use cases. But overall, machine learning algorithms are incredibly useful when trained to categorise data, identify trends and patterns, and automate repetitive tasks.


After all, sales agents will take time to find the price of each product and quote it to customers. But chatbots, since they can be directly connected to a database, can identify keywords in a customer’s price request, then quickly bring up prices for the right products. Chatbots offer several benefits in healthcare, including their ability to triage patients by screening and determining the severity of their condition, thereby providing appropriate care.

  • Imagine a 24/7 customer service agent that is ready to greet and answer basic questions, and it’s highly scalable and an easy way to educate customers and foster new relationships through conversational marketing.
  • Chatbots and virtual agents were developed and deployed with a minimal turnaround time to help relieve pressure on overworked healthcare workers.
  • By employing such a system, companies will see more leads generated compared to a simple lead generation form.
  • Then, we engineer a chatbot for one or more platforms, refine its performance and integrate it into your infrastructure.

Royal Liverpool University Hospital increased enrollment in a clinical trial for Acute Pancreatitis, increasing revenue for the hospital and providing benefits to patients. With increasing numbers of referrals and a complex recruitment situation, Mind Matters was faced with a heavy administrative workload – slowing down the referral system for patients and affecting staff wellbeing. It says its solutions are backed by solid evidence-based science and that all information shared by users is encrypted, anonymised and de-identified. Yet its treatment is estimated to cost the US economy alone more than $200bn a year.

Why the rise in chat bots?

While chatbots excel in providing quick responses and handling a high volume of inquiries, virtual assistants offer more advanced capabilities and can perform complex tasks. The main aim of the project is to determine how effective a persuasive chatbot application could be when providing health-based suggestions to users. Chatbots aim to replicate human interaction but struggle due to limited responses and an inability to maintain user interest. A persuasive chatbot aims to replicate a personal human interaction by either developing an AI capable of learning social cues or by containing a large database of responses to users.

healthcare chatbot use cases

This chatbot can be designed to ask sales-oriented questions to your audience and guide them to and through the checkout process. Once the chatbot is set up, the company can add it to their event’s webpage and/or app then let it interact with customers. Here, a chatbot, thanks to its 24/7 presence and ability to reply instantly, can be of immense help. As for just how convincing AI chatbots are – and how easy it is to tell AI written copy from human, you be the judge. Everything except this final paragraph that you have just read was written by AI from one question – the title of this piece.

PSI is committed to establishing and maintaining a work environment that fosters harmonious, productive working relationships and encourages mutual respect among team members. With overarching commitments to flexibility in our work, and greater wellbeing for our employees, we want to ensure PSI is positioned for success with a global and holistic view of talent. Globally, we recognize the need to compete for talent everywhere; we maintain a talent center in Nairobi and a mini-hub in Abidjan. PSI also already works with our Dutch-based European partner, PSI Europe, and we’re creating a virtual talent center in the UK. PSI’s code sets out our basic expectations for conduct that is legal, honest, fair, transparent, ethical, honorable, and respectful.

healthcare chatbot use cases

In the medical and healthcare space, organizations are teaming up with businesses outside of their sector to accelerate digital transformation using new technology. Novartis, for example, has created AI Nurse, a collaboration with Chinese healthcare chatbot use cases giant Tencent to help patients and HCP’s to better manage heart disease. And we are also seeing this first hand, working with a global healthcare business to help develop new messenger and voice-based services to engage their customers.

Advancing Patient Care and Communication in Healthcare through Chatbots

Plum, a company which creates an AI-equipped, money-saving software, uses a chatbot  to teach incoming users how their product works. Their chatbot starts by introducing their software and giving social proof and then asks users whether they’d like to learn more. The only way to stop this from happening is by creating a crystal clear onboarding experience and guiding customers through the service right from the start. By giving customers an idea of what the service they are buying does and how it operates, businesses can significantly increase the chances of their customers using their products. For software companies, teaching new customers to know how to use software or tools is very important to converting new (or trial) customers to loyal customers. That’s because, unless customers understand how to use the product/service, they won’t use it.

How is AI used in healthcare?

AI can improve the healthcare user experience

AI technologies like natural language processing (NLP), predictive analytics and speech recognition can lead to healthcare providers having more effective communication with patients, which can lead to better patient experience, care and outcomes.

Some patients may find chatbots more convenient – easier to fit around time constraints, for example – and/or more accessible. Many individuals may find chatbots a less intrusive or embarrassing way to seek initial advice on a healthcare problem, whether physical or mental. Implementing the SLPM digital ecosystem brings numerous benefits to health systems. The ecosystem also supports better stewardship of mixed health systems by facilitating engagement with the private sector, aligning training programs and standards of care, and integrating private sector data into national HMIS. Furthermore, it enables the integration of community health workers into the broader health system, maximizing their impact and contribution to improving health outcomes and strengthening primary healthcare.


Patients with various health conditions had to wait to get healthcare advice and take the right decisions. Thanks to the widespread adoption of smartphones, AI-powered smart devices, and virtual assistants! As the situation demanded, healthcare providers were forced to redefine their digital adoption strategies. Conversational AI was widely recognized as one of the leading technologies, along with telemedicine, that drove digital adoption. Chatbots and virtual agents were developed and deployed with a minimal turnaround time to help relieve pressure on overworked healthcare workers. Chatbots clearly have many uses in healthcare, and it is likely that further applications will be developed in the future.

A model can learn the triggers or features of a known disease or illness using labelled data. Models can then be used to diagnose these diseases accurately at scale, beyond the capacity or resources of a human counterpart. Faster diagnosis means earlier intervention and as a result, the potential for better patient outcomes. This guide explores the basics of machine learning in medicine and healthcare, including the benefits it brings to the sector, and the different ways models are currently used. The iCliniq site allows users to seek medical advice with a chatbot or to pursue a second opinion from a medical professional who speaks the same language as they do. Today, iCliniq supports chatbot capabilities and medical consultation in 12 languages, including Hindi, Tamil, Telugu, and Bengali.

healthcare chatbot use cases

A chatbot can provide customers with multiple-choice questions, with each question having its own image, text and/or video. By using these features, chatbots can ask customers to choose a product category, which customers can select in one click. Here’s another example of cosmetics giant  Sephora using a chatbot to provide one-click customer service. Providing this feature is necessary because Sephora’s customers may sometimes have special demands that a chatbot can’t process on its own. To communicate that, the customer only has to enter their email (or other information) and that store’s customer support team will reach out to them automatically. Every single interaction of all these scenarios should be a positive interaction for the patient, else the healthcare provider stands to lose the patient or lose credibility.

Why Health Care Companies Are Experimenting With Google’s … – Inc.

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Posted: Mon, 04 Sep 2023 07:00:00 GMT [source]

How is AI used in healthcare?

AI can improve the healthcare user experience

AI technologies like natural language processing (NLP), predictive analytics and speech recognition can lead to healthcare providers having more effective communication with patients, which can lead to better patient experience, care and outcomes.

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