Conversational AI for Healthcare to Improve Member Efficiency

In an era marked by rapid advancements in science and technology, the potential for growth and efficiency across all sectors is immense. However, the healthcare industry is still in the midst of its digitization journey. Our core idea is to harness the power of artificial intelligence to revolutionize healthcare management processes through natural language processing and machine learning. Recent years have witnessed a surge in innovative virtual assistance solutions aimed at automating and simulating human-like interactions. Thus, our central objective is to develop a sophisticated AI-powered platform capable of providing a wide array of healthcare services ranging optimized appointment bookings to monitoring patient's conditions, thus providing an overall assistance tailored to diverse user needs. Our project seeks to address critical challenges faced by the healthcare sector, including manual administrative burdens, managing huge patient influxes during pandemics, delivering personalized care, reducing waiting times, enhancing patient monitoring, overcoming accessibility barriers to doctors and hospitals through remote solutions, minimizing emergency response delays, and mitigating language barriers and communication issues using RASA Framework along with external APIs to corroborate the desired results. This holistic approach not only minimizes the need for frequent hospital visits but also aims at providing valuable support to healthcare professionals, thus improving the member efficiency.