title: Implementing a Real-time Complex Event Stream Processing System to Help Identify Potential Participants in Clinical and Translational Research Studies.
abstract: Event Stream Processing is a computational approach to the problem of how to infer the occurrence of an event from a data stream in real time without reference to a database. This paper describes how we implemented this technology on the STRIDE platform to address the challenge of real time notification of patients presenting in the Emergency Department (ED) who potentially meet eligibility criteria for a clinical study. The system was evaluated against a standalone legacy alerting system and found to perform adequately. While our initial use of this technology was focused on relatively simple alerts, the system is extensible and has the potential to provide enterprise-level research alerting services supporting more complex scenarios.
authors.affiliation: Center for Clinical Informatics.
authors.forename: Susan
authors.initials: S
authors.lastname: Weber
authors.forename: Henry J
authors.initials: HJ
authors.lastname: Lowe
authors.forename: Sanjay
authors.initials: S
authors.lastname: Malunjkar
authors.forename: James
authors.initials: J
authors.lastname: Quinn
mesh_terms: D035843:Biomedical Research; D003199:Computer Systems; D016208:Databases, Factual; D004636:Emergency Service, Hospital; D006801:Humans; D057170:Translational Research, Biomedical