Apache clinical Text Analysis and Knowledge Extraction System (cTAKES) is an open-source natural language processing system for information extraction from electronic medical record clinical free-text. It processes clinical notes, identifying types of clinical named entities from various dictionaries including the Unified Medical Language System (UMLS) - medications, diseases/disorders, signs/symptoms, anatomical sites and procedures.
You can use the category filters given on the right sidebar to narrow down your search results.
In the last 20 years, researchers have investigated solutions to enable seamless access to online resources within the context of electronic health record (EHR) systems. “Infobuttons” are among these solutions. Based on contextual attributes that describe the EHR user, the patient, and the care setting, infobuttons anticipate clinicians’ information needs and provide automated links to a set of relevant knowledge resources to assist clinical decision support.
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.
OpenTele collects clinical health data from citizens at home. Clinicians review data through a web-portal, and take actions upon data, that are beyond the individual’s allowable data boundaries. The system is aimed at increasing the direct involvement of patients and citizens in taking charge of their health, independent of geographical distances between patient and clinicians.
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.
The main function of a terminology server is the computer-aided representation/expostulation of medical terminologies as well as offering services to access them (completely or partially) and attribute based code systems.
The terminology server of the University of Applied Sciences and Arts Dortmund is a composition of several web services and provides a terminology browser to display and maintain the content.
A collaboration environment supports the development of terminologies in a team. Moreover a command line tool to import Code Systems and Values Sets is included.
An open-source effort to improve diabetes management on the iPhone.
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.
The Raxa JSS EMR is an information management system ("Raxa") designed for and to be initially implemented at the Jan Swasthya Sahyog (JSS), a healthcare non-governmental organization (NGO) working in a largely rural, underserved community in India. Raxa JSS EMR is an OpenMRS based Health Information System.