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Data Convergence in Life Sciences and Healthcare

Subtitle: 
Overview and Implications

The increased pace of advances in science, technology, and healthcare and the need for medical breakthroughs have blurred the lines between traditional Biotechnology, Pharmaceutical Research, and Healthcare. Anyone who is familiar with these sectors knows that the data and information needs of these industries are large and complex and often daunting even within a single organization.In this paper, we will discuss implications of the patient data flow produced by each of these organizations. We will define what each of these types of organizations does in terms of their interaction with the patient and the data footprint that each of them generates. Further, we will outline trends in the context of each industry and what that might mean for the integration of data and systems. Finally, we will talk about the implications of interoperability within and between these sectors including the electronic and personal health record (EHR/PHR), health information exchanges (HIEs), the role of patient registries and epidemiology databases, and the converging data and interoperability standards (for example, CDISC, ICH, and HL7.).

Venue: 
SGF 2009
Location: 
Washington, DC
Date: 
03/2009
Author: 
Gregory S. Nelson

Copyright © 2010 ThotWave Technologies LLC

thinking data® BI Roadmap Series

At ThotWave, we have been focused on delivering business intelligence (BI) capabilities for more than a decade. We've delivered solutions to customers in Life Sciences, Healthcare, Financial Services and other industries. ThotWave consultants have contributed our THOT leadership by having written hundreds of white papers and articles, and given presentations at industry conferences throughout North America and Europe. Our unique thinking data® methodology is redefining how you make your data more predictive, simple to access, easy to use and understand.

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