How Chatbots Are Helping Healthcare Providers Healthcare UX design specialists UX Healthcare

AI-Powered chatbots to drive dramatic cost savings in healthcare, saving $3 6 billion by 2022 IoT Now News & Reports

chatbot in healthcare

The Healthcare Chatbots Market refers to the global industry that involves the development, implementation, and utilization of chatbot technology in the healthcare sector. Chatbots are computer programs equipped with artificial intelligence (AI) and natural language processing (NLP) capabilities to interact with users in a conversational manner. In healthcare, chatbots are designed to provide information, assistance, and support to patients, healthcare providers, and other stakeholders. They can offer personalized healthcare recommendations, answer common medical questions, schedule appointments, provide medication reminders, and even triage patients based on their symptoms.

Although healthcare chatbots are more reliable sources of health information than anything a Google search could produce, many doubt their ability to compete with the knowledge of trained physicians. This is especially as many healthcare chatbots are still unable to perform independently, and need to refer treatment recommendations to doctors to review before they are processed. The AI-driven healthcare service ‘Babylon’ for instance, refers patients to video consultations with doctors once it recommends a treatment. Chatbots clearly have many uses in healthcare, and it is likely that further applications will be developed in the future. This will be driven in part by the COVID-19 pandemic, which has increased awareness of the importance of digital technology and steered many away from traditional face to face meetings. Chatbots pose an opportunity of reducing pressure on HCPs by carrying out repetitive administrative tasks, and they work to benefit the public by providing anonymity and instant responses.

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However, there have been several healthcare organisations that have successfully expanded their multilingual chatbot services. Secondly, providing another language option can be an opportunity to redesign the user experience in specific markets to appeal to different regions in different ways. This focus on localisation will allow medical chatbot designers to create bots that will be more engaging to a certain culture or region, and therefore more effective. Despite the fact that the development of medical chatbots is increasing, many of the largest healthcare bots only operate in one or two languages.

Alder Hey Children’s Hospital in Liverpool treats more than 275,000 children and young people each year. Renowned for its commitment to clinical excellence and patient experience, the hospital is aiming to become the UK’s first ‘cognitive hospital’ using intelligent computing technology to enhance the patient experience. Creating multilingual chatbots can be costly, work-intensive, complex and error-prone, and not easily scalable, so it is somewhat understandable that makers of medical chatbots choose to produce their products in only one language. Each alteration in a bot needs to be replicated in every single language the bot supports. Many companies choose to automate their multilingual options with a Google Translate-like algorithm, but this can be problematic. Healthcare chatbots can also prove extremely useful in countries where specific health concerns or medications are taboo.

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However, this expectation is a tall order and not possible for the provider staff to be always pleasing, empathetic, and consistent with patients and yet solve problems simply because of the volume, velocity, and variety of patient engagements. While chatbots cannot completely replace the need to see a doctor in person, they automate many other aspects that save time and money for both chatbot in healthcare patients and healthcare providers. Additionally, interacting with a highly intelligent chatbot can save patients from experiencing white coat syndrome, a condition characterized by anxiety and high blood pressure caused by being in a medical setting. AI-based chatbots use natural language processing and machine learning algorithms to understand and interpret natural language.

chatbot in healthcare

Using Medxnote’s clinical bots within Microsoft Teams, doctors can save hours of clinical time by accessing patient records on their mobile phones. When doctors have access to greater clinical data, they can make more informed decisions for their patients, improving quality of care. Better patient care means patients spend less time in hospital which means improved patient flow. Medxnote gets the right clinical data in the right hands at the right time by connecting the hospital’s IT systems to Microsoft Teams, a free app provided to hospitals by Microsoft as part of their Office 365 subscription. In 2019, our human-centered design work in East Africa explored ways that our work could support and accompany young women as they navigate the various choices required for a healthy, enjoyable sexual and reproductive life.

What are some examples of chatbots?

  • Lyro customer support AI.
  • Kuki AI Companion.
  • Meena by Google.
  • BlenderBot by Facebook.
  • Rose AI Chatbot.
  • Replika: AI Friend.
  • Eviebot by Existor.
  • Tay by Microsoft.

About the author

Wakil Ketua 2 ASDIP-PTKI

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