Title of dissertation: A DATA ANALYTICAL FRAMEWORK FOR IMPROVING REAL-TIME, DECISION SUPPORT SYSTEMS IN HEALTHCARE Inbal Yahav, PhD Candidate, 2010 Dissertation directed by: Associate Professor Galit Shmueli Department of Decisions, Operations and Information Technologies In this dissertation we develop a framework that combines data mining, statistics and operations research methods for improv...

OBJECTIVE Develop and evaluate a natural language processing application for classifying chief complaints into syndromic categories for syndromic surveillance. INTRODUCTION Much of the input data for artificial intelligence applications in the medical field are free-text patient medical records, including dictated medical reports and triage chief complaints. To be useful for automated systems...

Biosurveillance activities focus on acquiring and analyzing epidemiological and biological data to interpret unfolding events and predict outcomes in infectious disease outbreaks. We describe a mathematical modeling framework based on geographically aligned data sources and with appropriate flexibility that partitions the modeling of disease spread into two distinct but coupled levels. A top-le...

BACKGROUND Emerging public health threats often originate in resource-limited countries. In recognition of this fact, the World Health Organization issued revised International Health Regulations in 2005, which call for significantly increased reporting and response capabilities for all signatory nations. Electronic biosurveillance systems can improve the timeliness of public health data collec...

The authors find overwhelming evidence among environmental health practitioners that One Health disease reporting concepts are essential to the early detection of, and expedient recovery from, pandemic disease events. The authors also find, however, extraordinary evidence that local public health is not prepared, and potentially unaware of their responsibility, to be the initiator of the zoonot...

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Beginning in 2004, the Indiana State Department of Health (ISDH) partnered with the Regenstrief Institute on a 4-year project to implement a statewide biosurveillance system incorporating more than 110 hospitals. This paper describes our evolving experience with the system including ongoing implementation challenges, how the system has helped to uncover events of public health significance, and...