Towards event sequence representation, reasoning and visualization for EHR data

TitleTowards event sequence representation, reasoning and visualization for EHR data
Publication TypeConference Papers
Year of Publication2012
AuthorsTao C, Wongsuphasawat K, Clark K, Plaisant C, Shneiderman B, Chute CG
Conference NameProceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Date Published2012///
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-0781-9
Keywordsehr, semantic web, temporal relation reasoning, time trend visualization

Efficient analysis of event sequences and the ability to answer time-related, clinically important questions can accelerate clinical research in several areas such as causality assessments, decision support systems, and retrospective studies. The Clinical Narrative Temporal Reasoning Ontology (CNTRO)-based system is designed for semantically representing, annotating, and inferring temporal relations and constraints for clinical events in Electronic Health Records (EHR) represented in both structured and unstructured ways. The LifeFlow system is designed to support an interactive exploration of event sequences using visualization techniques. The combination of the two systems will provide a comprehensive environment for users to visualize inferred temporal relationships from EHR data. This paper discusses our preliminary efforts on connecting the two systems and the benefits we envision from such an environment.