Databases Reference
In-Depth Information
APPENDIX
B
Building the Healthcare
Information Factory
Healthcare Information Factory:
Implementing Textual Analytics
W.H. Inmon, Md Andrew Gettinger, and Krish Krishnan
INTRODUCTION
Healthcare information systems have been a complex subject to deal with for many years until
now. With the advent of processing architectures for deep text mining and analytics coupled with
Big Data infrastructure, we can create a powerful platform that can integrate data from payors,
providers, and patients, creating a holistic view of data across the entire spectrum to optimize rev-
enue, assess and predict risks, and increase quality of care. This chapter is an adaptation from the
“Healthcare Information Factory: Implementing Textual Analytics” whitepaper by W. H. Inmon et al.
and discusses the usage of text analysis and mining approaches to building the same. This chapter is
intended to provide you an overview of potential capabilities with Big Data architectures and algo-
rithms and applying them to integrate and extend the data warehouse.
Note:
The whitepaper here has been reproduced with the permission of the authors and the
company.
Executive summary
Everyone wants better healthcare and more affordable healthcare. The question is how to achieve
these goals.
A really good place to start is with properly managing healthcare information. So what are some
of the tractable problems associated with healthcare information? Among other things:
●
Healthcare information is approached in an inward-looking manner, where different entities
involved in healthcare information management look at their own internal issues and no one steps
back and looks at the larger issues of healthcare information management in its totality. Looking
at standard codes is a start down this path, but it is only a start. What is needed is a much larger
architectural framework that addresses the major issues of global healthcare management,
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