Question Answering over Long Clinical Documents

In traditional claim processing system, adjusters or claim handling specialists need to read massively number of medical reports like diagnosis report, medical assessment, prescription daily for different types of decision making. Such a manual review process is time-consuming and tiring, which causes slowness in serving claimants and consequently unpleasant customer experience. In the digitalization era, we aim to digitize the manual process of reviewing documents with NLP techniques. In this project, we aim at building an intelligent NLP system that can help the adjusters navigate and extract key information from the medical documents to accelerate the process. With the new system, the practitioners can ask questions and chat with the system to obtain desired information. This will enable adjusters to make proper decisions faster leading to better claimants’ experiences.

Faculty Supervisor:

Wenhu Chen

Student:

Partner:

Intact

Discipline:

Computer science

Sector:

Finance and Insurance

University:

University of Waterloo

Program: