The epSOS project has released interoperability specifications (Common Components Specification) for national Contact Points (NCPs) to interact and support epSOS defined services such as patient summary and prescription. epSOS has also established a testing process for testing compliant implementations of these specifications, and ensure their interoperability.
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The research project Net4Care's aim is to develop a ecosystem to make it easy for small and medium sized businesses (SMBs) to build telemedical applications for the home.
The main area of support within the present edition is handling clinical observations in the home and ensuring they become available for clinician's work.
The Net4Care framework helps in this by providing:
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.
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.
ACHILLES is a platform which enables the characterization, quality assessment and visualization of observational health databases. ACHILLES provides users with an interactive, exploratory framework to assess patient demographics, the prevalence of conditions, drugs and procedures, and to evaluate the distribution of values for clinical observations.
ACHILLES is intended to be implemented by organizations that have patient-level observational health databases available in their local environment.