Generating performance assessment from human and virtual human patient conversation dyads during standardized patient encounter

Abstract

An artificial intelligence machine may quickly generate a comprehensive virtual patient interview database based on limited input from a case author. The comprehensive virtual patient interview database may include a list of topics and a set of items. Each item may be related in the database to one of the topics and may include one or more questions and one or more patient responses to each question. The artificial intelligence machine may include a data storage system that stores a universal medical taxonomy database that includes a list of topics and a set of items, each item being related in the database to one of the topics and including one or more questions and one or more default responses to each question; a user interface for receiving the limited input from the case author, the limited input including descriptive attributes of a real or fictitious patient; and a data processing system that includes one or more processors and that generates the comprehensive virtual patient interview database by modifying one or more of the default responses in the universal medical taxonomy database based on the descriptive attributes.

Dependencies are inferred from the claim text.