Tasks 1 and 3 from progress note understanding suite of tasks: SOAP note tagging and problem list summarization

Abstract:

Applying methods in natural language processing on electronic health records (EHR) data is a growing field. Existing corpus and annotation focus on modelling textual features and relation prediction [1]. However, there is a paucity of annotated corpus built to model clinical diagnostic reasoning, a process that involves text understanding, domain knowledge abstraction and reasoning, and clinical text generation. The datasets here support a hierarchical annotation schema with two out of the three stages available to address clinical text understanding and text generation. The datasets provided here are for individual tasks in Stages 1 and 3. The task for Stage 2 was previously accepted as part of the National NLP Clinical Challenges (n2c2) and may be retrieved from the n2c2 challenge website.