"Mergence is a high performance, open source HL7integration engine and application platform. It was developed to fill the need for an open source, fully transactional healthcare integration system capable of handling millions of messages per day, and thousands of concurrent LLP connections. Mergence is based on Apache ServiceMix, a lightweight enterprise service bus which conforms to the JBI standard, and HAPI, an excellent opensource HL7v2 API. We plan to support HL7v3 in the next release."
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OpenEMed is a set of distributed healthcare information service components built around the OMG distributed object specifications and the HL7 (and other) data standards and is written in Java for platform portability. We emphasize the interoperable service functionality that this approach provides in reducing the time it takes to build a healthcare related system. It is not intended as a turnkey system but rather a set of components that can be assembled and configured to meet a variety of tasks.
EGADSS (Evidence-based Guideline and Decision Support System) is an open source tool that is designed to work in conjunction with primary care Electronic Medical Record (EMR) systems to provide patient specific point of care reminders in order to aid physicians provide high quality care. EGADSS is designed as a stand alone system that would respond to requests from existing Electronic Medical Records such as Wolf, Med Access, and MedOffIS to provide patient specific clinical guidance based on its internal collection of guidelines.
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.
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:
The Electronic medical record Support for Public health (ESP) project is an automated software application, that analyzes electronic medical record (EMR) data, to identify and report conditions of interest to public health and other agencies.
CONNECT is an open source software solution that supports health information exchange – both locally and at the national level. CONNECT uses Nationwide Health Information Network (NHIN) standards and governance to make sure that health information exchanges are compatible with other exchanges being set up throughout the country.
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.
HAPI (HL7 application programming interface; pronounced "happy") is an open-source, object-oriented HL7 2.x parser and encoder for HL7 version 2.x messages written in Java. This project is not affiliated with the HL7 organization; we are just writing some software that conforms to their specification. The project was initiated by University Health Network (a large multi-site teaching hospital in Toronto, Canada).
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.