Healthcare is rapidly changing and integrating new technology daily. This is causing healthcare institutions to reevaluate their way of doing business. The success of healthcare will always depend on providing the highest quality of care. Despite this, healthcare institutions must stay up-to-date with patient expectations to deliver a fully patient-focused experience. One major way they are shifting is with the help of chatbots.
Many industries, including retail, use chatbots a great deal to support, expedite, and improve processes. In healthcare, however, the technology is gaining traction as it helps patients and providers perform multiple tasks.
Chatbots are being used in healthcare in many ways from things as simple as an appointment to scheduling reminders and easy bill pay to things more complicated like ensuring the patient is following the treatment plan to symptom checking.
Here at X2.ai, we believe that easy and immediate access to mental health support saves lives. This is why we developed a clinically proven AI-powered chatbot named Tess. Written by psychologists with paid access to over 13 million people. Chatting with Tess led to reduced symptoms of depression (-28%) and anxiety (-18%).
Tess is unique because she is not built to only respond with preset automated replies instead she starts conversing with you immediately, and her system is designed to respond to your changing emotion and information. The benefit of talking with Tess is that it is a non-judgmental safe zone for patients to talk about their feelings plus she is available 24/7.
Chatbots may provide patients with preliminary information, but patients mustn't use the bots to replace their human physicians/psychologists. In terms of recognizing and analyzing human conversational inputs and seeing certain signs of a medical condition that require physical etc. chatbots still have some limitations.
The health care sector is likely to continue to see a role in the need for chatbots as a result of this versatility. Advances in artificial intelligence, computer vision, virtual faces, and natural language processing will further augment the chatbots’ abilities to identify and analyze human interactions, screen medical conditions, and appeal to more people.