Developing a GraphQL SOAP Conversational Micro Frontends for the Problem Oriented Medical Record (QL4POMR).

Healthcare institutions are slowly starting to deploy chatbots as a new method of communication with their patients. However, most of the automated chatbots fails to satisfy the patient expectation. Moreover, the idea of simulating a conversation similar to how the physician-patient interact when a patient encounter a health issue is not fully understood and implemented. Due to the infancy and lack of research on building such conversational chatbots that can work together to seek information and to answer queries related to a patient encounter and record it using a clinical charting format like SOAP, the purpose of this paper is to describe our attempt and the architecture that we build using the AWS AppSync which has been integrated with our QL4POMR medical record system. We are attempting to use the prototype to learn the limitations regarding it usability at different clinical practices. Additional constructs or artificial intelligence techniques could be used to obtain higher acceptability and to fit specific clinical practices.