Why Use Smntx
There is a wealth of information contained in the text of electronic health records that, if processed, can be used for a range of medical purposes including, but not limited to: clinical decision support, institutional auditing and billing, clinical quality improvement and research.
Existing NLP engines are, in general, hard to use, unable to process documents in real time, and cannot scale. There are substantial barriers for entry requiring expert users familier with the technical idiosyncrasies of each engine and the manual pre and post processing required.
Smntx abstracts the difficulties of using NLP technology through a easy to use, scalable, secure web service based model. After bulk NLP analysis of medical text results are stored and indexed for real time mining. The Smntx architecture has been shown to perform efficiently in an elastic Cloud environemnt using web, programming, and workflow tools.
How To Get Started
There are a number of ways to get started with Smntx and get involved in the project
- Download a fully configured Virtual Machine to quickly setup a Smntx environment.
- Download the Smntx web application and follow the deployment guide to set up your own instance of Smntx.
- Read tutorials highlighting the features of the Smntx GUI and usage in complex scientific workflows.
- Explore (and contribute to) the Smntx source code (publically avaialble on GitHub).
Partners
Smntx is a joint effort between the Computation Institute (University of Chicago and Argonne National Laboratory) and NorthShore University HealthSystem
