TY - GEN
T1 - Towards event sequence representation, reasoning and visualization for EHR data
AU - Tao, Cui
AU - Wongsuphasawat, Krist
AU - Clark, Kim
AU - Plaisant, Catherine
AU - Shneiderman, Ben
AU - Chute, Christopher G.
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - 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 clincial 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.
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 clincial 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.
KW - EHR
KW - Semantic web
KW - Temporal relation reasoning
KW - Time trend visualization
UR - http://www.scopus.com/inward/record.url?scp=84857748564&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84857748564&partnerID=8YFLogxK
U2 - 10.1145/2110363.2110461
DO - 10.1145/2110363.2110461
M3 - Conference contribution
AN - SCOPUS:84857748564
SN - 9781450307819
T3 - IHI'12 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
SP - 801
EP - 805
BT - IHI'12 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
T2 - 2nd ACM SIGHIT International Health Informatics Symposium, IHI'12
Y2 - 28 January 2012 through 30 January 2012
ER -