Chiapas is an enterprise level HIPAA data translation package. It supports all major healthcare transactions and a variety of SQL databases and file types, and incorporates a script parser and a GUI studio for development and maintaining specifications.
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ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both.
This package contains elementary tools for analysis of common epidemiological problems, ranging from sample size estimation, through 2x2 contingency table analysis and basic measures of agreement (kappa, sensitivity/specificity).
Appropriate print and summary statements are also written to facilitate interpretation wherever possible.
This package is a work in progress, so any comments or suggestions would be appreciated. Source code is commented throughout to facilitate modification. The target audience includes graduate students in various epi/biostatistics courses.
OpenEMed is a set of distributed healthcare information service components built around the OMG distributed object specifications and the HL7 (and other) data standards and is written in Java for platform portability. We emphasize the interoperable service functionality that this approach provides in reducing the time it takes to build a healthcare related system. It is not intended as a turnkey system but rather a set of components that can be assembled and configured to meet a variety of tasks.
Aurion is an open source health information exchange platform that implements the Nationwide Health Information Network standard services and content specifications. Aurion is the first project chartered through the Alembic Foundation. This software enables the secure exchange of interoperable health information among diverse organizations using a wide variety of technologies.
ADDIS is a software developed within the Dutch Escher-project for managing and analyzing clinical trial information.
ADDIS is a proof-of-concept system that allows us to simultaneously discover the possibilities of and the requirements on a database of structured clinical trials data. The automated discovery and (meta-)analysis of trial data, as well as benefit-risk assessment is supported.
ADDIS comes with two built-in examples:
The dinifti program converts MRI images stored in DICOM format to NIfTI format.
Laika analyzes and reports on the interoperability capabilities of EHR systems. This includes the testing for certification of EHR software products and networks.
To support EHR data interoperability testing, Laika is designed to verify the input and output of EHR data against the standards and criteria identified by the Certification Commission for Health Information Technology (CCHIT). Laika is used by the Certification Commission to perform part of the interoperability certification inspection of EHRs.
Functions making R easy for epidemiological calculation.
Datasets from Dbase (.dbf), Stata (.dta), SPSS(.sav), EpiInfo(.rec) and Comma separated value (.csv) formats as well as R data frames can be processed to do make several epidemiological calculations.
- Axial 360 is an interface engine and connector library that enables health care systems of all types - hospital systems, lab systems, EHRs, HIEs, etc - to share clinical data when it is needed.
- Axial 360 is built using best-of-bread open source components that enable improved scalability, extensibility, and modularity relative to other interface engines.
- Axial 360 will feature a library of free “connectors” developed by the open source community, that will reduce the time required to interface with applications.