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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.
Cross-Enterprise Document Sharing XDS.b is a Microsoft Connected Health Platform Solution Accelerator based on the IHE (www.ihe.net) XDS.b integration profile. XDS.b facilitates the registration, distribution and access across health enterprises of patient electronic information in document format.
The Solution Accelerator implements the XDS.b Document Registry with the Async option and the XDS.b Document Repository with the Async option.
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.
REMITT is a revolutionary medical information translation and transmission system, which is primarily used for preparing and submitting medical billing data.
REMITT works independent of any specific electronic medical record (EMR) or practice management (PM) system, and can interface with any EMR or PM system which implements its application programming interface (API). The first system to do so has been FreeMED.
Currently Supported Formats
- HCFA-1500/CRM-1500
- ANSI NSF X12 837 Professional
Currently Supported Output Types
To lower the barrier to integration and expedite health care interoperability, Open Health Tools provides client side implementations of several key IHE profiles. These implementations were used successfully by over 35 systems to date at the 2007-2010 Connectathons in North America and Europe.
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.
PixelMed Java DICOM Toolkit is a stand-alone DICOM toolkit that implements code for reading and creating DICOM data, DICOM network and file support, a database of DICOM objects, support for display of directories, images, reports and spectra, and DICOM object validation.
The toolkit is a completely new implementation, which does not depend on any other DICOM tools, commercial or free. It does make use of other freely available pure Java tools for compression and XML and database support.
XML Validation Framework and Canonical XML dictionary-based exchange assembly - OASIS CAM
The OASIS CAM toolkit provides a suite of tools for XML Validation and XML Exchange design and assembly from canonical XML dictionary components.
Included in the toolkit is an XML Editor/Validation/Schema Designer along with the CAMV runtime XML validation engine.
The project implements the OASIS CAM standard & NIEM IEPD approach. The visual editor allows design of exchange structures using XML components dictionaries.
Open Health Tools Model-Driven Health Tools (MDHT) Project is a wide-ranging open source effort to promote interoperability in healthcare infrastructure. It promotes shared artifacts between related healthcare standards and standards development organizations, and works to develop localized specifications. It also delivers a common modeling framework and tools that support seamless integration of design, publication, and runtime artifact creation.
OpenHRE is the world's first open source toolkit that provides a standard and secure means to exchange data between existing health records systems. With OpenHRE, health professionals can locate, access, and review clinical data related to a specific health consumer, or acquire de-identified clinical data for population studies.
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