AI in Healthcare
Navigating the Future of Healthcare with Conversational AI
 
 
Chatbots in healthcare are part of a fast-growing trend alongside telemedicine and virtual consultation.  

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In this guide, learn more about the opportunities, challenges, and best practices of developing and deploying multilingual chatbots: 

  • How AI powers the new generation of conversational chatbots 
  • Use cases of conversational AI in healthcare 
  • The four steps to develop a multilingual chatbot 


Key Takeaways

  1. Chatbots are not replacing doctors. However, they can take the load off healthcare professionals, including nurses and physician assistants, by supporting daily patient activities such as booking appointments, screening patients, and sending reminders to patients.

  2. AI powers the new generation of conversational chatbots. They use natural language processing (NLP) and machine learning (ML) to understand context, emotion, and user intent. However, an AI chatbot is only as good as the data it's fed.

  3. Launching a multilingual chatbot for global healthcare and life sciences companies provides customers with a personalized experience. A multilingual chatbot is necessary, as people prefer to interact in their native language.



 

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