Benefits of AI in Healthcare: The sheer amount of data needed to make consistently accurate medical diagnoses is staggering. That’s why many healthcare organizations are adopting artificial intelligence to improve decision-making and make nearly every aspect of running a practice easier and more efficient.

Copyright by


SwissCognitive, AI, Artificial Intelligence, Bots, CDO, CIO, CI, Cognitive Computing, Deep Learning, IoT, Machine Learning, NLP, Robot, Virtual reality, learningAccording to Gartner, “The AI/smart machine era will be the most disruptive in the history of IT. … Eventually, these advances will redefine what it means to be a physician and a patient.” (Full content available to Gartner clients.)

Whether it’s using machine learning to help with diagnoses or automation tools to communicate with patients, artificial intelligence can streamline medical processes so you have more time to focus on what’s important: helping your patients.

If you have never considered using artificial intelligence for your practice, don’t trust artificial intelligence, or think your patients might not trust artificial intelligence, it’s time to reconsider. A recent Software Advice survey* demonstrates that most patients trust the application of artificial intelligence in healthcare.

In this article, we discuss three artificial intelligence technologies you can bring to your practice right now to improve experiences across the board—for your patients as well as staff.

1. Improve patient experience and retention with AI-powered chatbots

AI-powered chatbots are perhaps the most used AI technology in the healthcare industry right now because they are easy to implement, improve the patient experience, and help medical professionals interact with and treat patients without the massive time sink that traditional customer service methods take.

Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!


This AI application uses natural language processing (NLP), sentiment analysis, deep learning, machine learning, and concept extraction algorithms to provide instant answers to patients’ statements or questions on topics such as bill payments, appointment scheduling, and medication refills. […]

Read more: