TY - CONF T1 - Towards event sequence representation, reasoning and visualization for EHR data T2 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium Y1 - 2012 A1 - Tao,Cui A1 - Wongsuphasawat,Krist A1 - Clark,Kimberly A1 - Plaisant, Catherine A1 - Shneiderman, Ben A1 - Chute,Christopher G. KW - ehr KW - semantic web KW - temporal relation reasoning KW - time trend visualization AB - 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. JA - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium T3 - IHI '12 PB - ACM CY - New York, NY, USA SN - 978-1-4503-0781-9 UR - http://doi.acm.org/10.1145/2110363.2110461 M3 - 10.1145/2110363.2110461 ER -