EHR-Gen Open Framework is a generator of electronic medical record systems based on openEHR standard and dynamic technologies like Grails Framework and the Groovy language.
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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.
RANDI2 is an open source web application for randomization within clinical trials. It supports a variety of randomization algorithms and offers a very useful set of functions for randomization data & progress visualization and trial management - for more information please visit http://www.randi2.org
MassChroQ (Mass Chromatogram Quantification) software performs quantification of data obtained from mass-spectrometry techniques. It is particularly well suited for peptide quantification of LC-MS (Liquid Chromatography - Mass Spectrometry) data. It performs chromatographic alignment, XIC extraction, peak detection and quantification on identified peptides, with or without isotopic labeling, on high or low resolution data and it takes into account peptide or protein fractionation.
This is a stable release of Ruby openEHR implementation project. This release is based on openEHR specification release 1.0.2. We implemented almost of the specifications of the openEHR. The work is still in progress to implement related tools, such as archetype validator or serializer. Formerly, we named this package as open_ehr, but changed to openehr from release 1.1.0. 1.0.x versions are obsoleted. The intention is to have a sample EHR to utilize all over the world quickly with Ruby on Rails for many other porject.
This package includes:
ADL 1.4 parser
Opereffa stands for openEHR REFerence Framework and Application. It is a project for creating an open source clinical application which will be driven by the Clinical Review Board of openEHR. The clinical application will be built on top of a Java based open source framework, which is using the existing open source Java reference implementation of openEHR.
This web site contains information about the project, source code and binaries, and finally a demonstration of the current state of Opereffa.
Bioconductor is an open source, open development software project to provide tools for the analysis and comprehension of high-throughput genomic data. It is based primarily on the R programming language.
The Bioconductor release version is updated twice each year, and is appropriate for most users. There is also a development version, to which new features and packages are added prior to incorporation in the release. A large number of meta-data packages provide pathway, organism, microarray and other annotations.
As the European population ages, more support is needed with fewer hands to cater for their needs. There is a huge market potential for Ambient Assisted Living (AAL) solutions, but adoption is limited because they require significant resources for implementation.
To address this, universAAL will produce an open platform that provides a standardized approach making it technically feasible and economically viable to develop AAL solutions.
This project has been partially funded with support from the EC.
openFDA is a research project to provide open APIs, raw data downloads, documentation and examples, and a developer community for an important collection of FDA public datasets.
We believe that you own your own diabetes data. It’s your disease, so it’s your data. If you would like to donate your data to an anonymous database, we’ll make that easy. If you’d like to share data with your doctor, we’ll make that easy, too.
We believe that diabetes data should be easily accessible through a secure, modern platform that enables a vibrant ecosystem of applications.
We believe in great design, that mobile and web applications should be elegant, intuitive and easy to use. We believe that with the right context, data can be meaningful and actionable.