You are here

Project Wizard

You can use the category filters given on the right sidebar to narrow down your search results.

openEHR Ruby

Rating: 
Your rating: None Average: 1 (3 votes)

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

Rating: 
No votes yet

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.

universAAL

Rating: 
No votes yet

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.

SHIMMER

Rating: 
No votes yet

Shimmer is free and open-source, so you can easily add your own integrations and audit existing ones. Not to mention, you can use it with any programming language.
Fast to deploy: Stop wasting time trying to get digital health data - quickly deploy Shimmer with a few commands both locally and in the cloud.