Published in: Proc. 2nd ACM International Health Informatics Symposium, ACM Press, New York (2012), 801-805.
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.