Agent-based Completion for Collecting Medical Note Parameters

In this paper, we present an agent-based completion that cooperates with a physician to optimize parameter-text pairs collection from a medical note. Currently, in hospitals, there is a medical coding process, which collects certain parameter-text pairs from the medical note's narrative text. The process starts with categorizing the text into certain parameter-text pairs. Then, the collected pairs are studied by the coders to produce correct medical codes. However, since the physicians may not aware of the coders' requirements, the medical coding process is quite problematic, such as lack of parameter-text pairs. To address this problem, we propose an agent-based completion, which represents the coder's view to categorize the text into certain parameter-text pairs and recommend the parameters to be filled. This paper shows a basic design of the agent and the background technologies to support the completion system.