Paper Info
Title
Real-Time Analytics for Legacy Data Streams in Health: Monitoring Health Data Quality
Abstract
Healthcare organizations are increasingly using information technology to ensure patient safety, increase effectiveness and improve efficiency of healthcare delivery. While the use of health information technology (HIT) has realized many improvements, it has also introduced new failure modes arising from data quality and IT system usability issues. This paper presents an approach towards addressing these failure modes by applying real-time analytics to existing streams of clinical messages exchanged by HIT systems. We use complex event processing provided by the Event Swarm software framework to monitor data quality in such systems through intercepting messages and applying rules reflecting the syndromic surveillance model proposed in [4]. We believe this is the first work reporting on the real-time application of syndromic surveillance rules to legacy clinical data streams. Our design and implementation demonstrates the feasibility of this approach and highlights benefits obtained through improved operational quality of HIT systems, notably better patient safety, reduced risks in healthcare delivery and potentially reduced costs.
Year
DOI
Venue
2013
10.1109/EDOC.2013.19
Enterprise Distributed Object Computing Conference
Keywords
Field
DocType
data analysis,health care,medical information systems,HIT systems,IT system usability,event swarm software framework,failure modes,health data quality monitoring,healthcare delivery efficiency,healthcare organizations,information technology,legacy clinical data streams,patient safety,real-time analytics,syndromic surveillance model,data quaility,health analytics,real-time,syndromic surveillance
Data science,Data mining,Data quality,Patient safety,Computer science,Information technology,Usability,Health information technology,Complex event processing,Analytics,Software framework
Conference
ISSN
Citations 
PageRank 
1541-7719
13
0.82
References 
Authors
5
2
Name
Order
Citations
PageRank
Andrew Berry1130.82
Zoran Milosevic254854.38