With a growing focus on patient experience and engagement in healthcare, it’s natural that AI has been adapted to serve patients as well as providers. Through the use of AI-enabled interfaces, patients now have more power and control over their own care paths. I can think of two quick examples of patient solutions using artificial intelligence are:
Virtual health assistants: Using augmented reality, cognitive computing, speech, and body recognition software, a virtual persona is created for patients to engage with. These virtual health assistants are able to provide a personalized experience in which patients can ask questions and learn how to better manage their health.
Healthcare bots for customer service: These are interactive chatbots that use natural language processing (NLP), sentiment analysis, and concept extraction algorithms to respond to patient statements and questions around administrative things such as bill payment, appointment scheduling, or medication refills.
We know that patients do a better job of managing their own chronic conditions and that outcomes improve when they are engaged with their care, but staying in regular communication with individual patients adds a time-consuming burden to already overwhelmed medical providers.
With these AI tools, patients can achieve positive results while providers are granted more time to focus on other tasks. Thus, we can expand our answer to what the future of AI will be:The future of artificial intelligence in healthcare is better medical outcomes achieved through more accurate diagnosis and advanced treatment, as well as more informed and engaged patients.