Knowledge-based best of breed approach for automated detection of clinical events based on German free text digital hospital discharge letters.

ABSTRACT: OBJECTIVES:The secondary use of medical data contained in electronic medical records, such as hospital discharge letters, is a valuable resource for the improvement of clinical care (e.g. in terms of medication safety) or for research purposes. However, the automated processing and analysis of medical free text still poses a huge challenge to available natural language processing (NLP) systems. The aim of this study was to implement a knowledge-based best of breed approach, combining a terminology server with integrated ontology, a NLP pipeline and a rules engine. METHODS:We tested the performance of this approach in a use case. The clinical event of interest was the particular drug-disease interaction "proton-pump inhibitor [PPI] use and osteoporosis". Cases were to be identified based on

SUBMITTER: Konig M 

PROVIDER: S-EPMC6881027 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature