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Model-Driven Health Tools (MDHT)

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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.

openEHR-Gen

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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.

Opereffa

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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.

IDRT - Integrated Data Repository Toolkit

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i2b2 has turned out to be a very valuable component for secondary use of routine clinical data. Its pragmatic database schema allows merging of data from heterogeneous data sources, and the intuitive user interface enables easy querying and powerful processing. However, it's a component rather than a complete solution: The user is facing several barriers when integrating i2b2 into the operational workflow.

OBiBa

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OBiBa software consists of a suite of stand-alone applications that support various study's data management activities. These modular applications can be integrated to create a comprehensive information management and analysis system for individual studies.

As part of the Maelstrom Research program, OBiBa suite includes advanced software components enabling data harmonization and federation for study networks that aim to harmonize and share securely data among their members.

MOLGENIS

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MOLGENIS is a modular web application for scientific data. MOLGENIS was born from molecular genetics research (and was called 'molecular genetics information system') but has grown, thanks too many sponsors and contributors, to be used in many scientifc areas such as biobanking, rare disease research, patient registries and even energy research. MOLGENIS provides researchers with user friendly and scalable software infrastructures to capture, exchange, and exploit the large amounts of data that is being produced by scientific organisations all around the world.

OpenSpecimen

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OpenSpecimen (formerly known as caTissue Plus) is a Free & Open Source biobank/biospecimen management software. At the heart of OpenSpecimen is that “biospecimens without high quality data is of no value”.

OpenSpecimen is used across the globe in some of the most respected biobanks of various sizes and diseases. OpenSpecimen streamlines management of biospecimens across collection, consent, QC, request and distribution. Finally, OpenSpecimen is highly configurable and customizable. E.g., adding a custom field or form can be done in minutes by a non-IT person.

Phoenix CTMS

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Your rating: None Average: 4.5 (17 votes)

Phoenix CTMS is a modern web application combining capabilities of database software used in clinical research in one modular system.

  • PRS (Patient Recruitment System)
  • CTMS (Clinical Trial Management System)
  • CDMS (Clinical Data Management System)

This unmatched feature set is geared to support all operational and regulatory requirements of the clinical front end in academic research, at CROs (Contract Research Organisations) and hospitals conducting clinical studies of any phase.

Observational Health Data Sciences and Informatics

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The Observational Health Data Sciences and Informatics (or OHDSI, pronounced "Odyssey") program is a multi-stakeholder, interdisciplinary collaborative to bring out the value of health data through large-scale analytics. All our solutions are open-source.

OHDSI has established an international network of researchers and observational health databases with a central coordinating center housed at Columbia University.