Question Answering for Electronic Health Records: Scoping Review of Datasets and Models.

ABSTRACT:

Background

Question answering (QA) systems for patient-related data can assist both clinicians and patients. They can, for example, assist clinicians in decision-making and enable patients to have a better understanding of their medical history. Substantial amounts of patient data are stored in electronic health records (EHRs), making EHR QA an important research area. Because of the differences in data format and modality, this differs greatly from other medical QA tasks that use medical websites or scientific papers to retrieve answers, making it critical to research EHR QA.

Objective

This study aims to provide a methodological review of existing works on QA for EHRs. The objectives of this study were to identify the existing EHR QA datasets and analyze them, study the sta

SUBMITTER: Bardhan J 

PROVIDER: S-EPMC11561445 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature