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OMERO

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OMERO is client-server software for visualisation, management and analysis of biological microscope images.

From the microscope to publication, OMERO handles all your images in a secure central repository. You can view, organise, analyse and share your data from anywhere you have internet access. Work with your images from a desktop app (Windows, Mac or Linux), from the web or from 3rd party software.

openEHR-Gen

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Your rating: None Average: 2.7 (6 votes)

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.

Dicoogle

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Your rating: None Average: 4 (25 votes)

Dicoogle is an open source Picture Archiving and Communications System (PACS) archive. Its modular architecture allows the quick development of new functionalities, due the availability of a Software Development Kit (SDK).

Aurion

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Aurion is an open source health information exchange platform that implements the Nationwide Health Information Network standard services and content specifications. Aurion is the first project chartered through the Alembic Foundation. This software enables the secure exchange of interoperable health information among diverse organizations using a wide variety of technologies.

FreeSHIM

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FreeSHIM is an opensource electronic medical device interface, which aims to allow any EMR/PM system to talk to any medical device attached to a workstation without having to install tons of pesky drivers or “reinvent the wheel” for each additional device manufacturer.

It is written in Java, and has been tested on Linux and Windows workstations (though we’re pretty sure it also runs fine on Mac OS X as well), and exposes both SOAP and REST interfaces. Its only prerequisite is a running J2EE container, such as Apache Tomcat.

ZEPRS

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Your rating: None Average: 3.7 (7 votes)

The Zambia Electronic Perinatal Record System (ZEPRS) is an Electronic Medical Record (EMR) system used by public obstetric clinics and a hospital (the University Teaching Hospital) in Lusaka, Zambia to improve patient care. The University of Alabama Birmingham (UAB) Center for Research in Women's Health (CRWH), RTI, and the Center for Infectious Disease Research in Zambia (CIDRZ) developed ZEPRS with local medical expertise and project engagement from the Lusaka Urban Health District, Central Board of Health and funding support from the Bill & Melinda Gates Foundation.

WEASIS

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Your rating: None Average: 4.4 (39 votes)

Weasis is a multipurpose web-based viewer with a highly modular architecture. It has been designed to meet several expectations of clinical information systems and their future evolution regarding medical imaging: providing a web-based access to radiological images, as well as offering multimedia capabilities.

Weasis can be easily interfaced to any PACS supporting WADO via a web portal or as an XDS-I consumer in an IHE (Integrating the Healthcare Enterprise) environment (not yet fully implemented). It has been successfully interfaced to dcm4chee and commercial PACS.

Open Health Tools Project Implementation of IHE Profiles

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Your rating: None Average: 1.5 (19 votes)

To lower the barrier to integration and expedite health care interoperability, Open Health Tools provides client side implementations of several key IHE profiles. These implementations were used successfully by over 35 systems to date at the 2007-2010 Connectathons in North America and Europe.

Braid

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Your rating: None Average: 1.3 (8 votes)

Braid is a Client library for a portion of the IHE (Integrating the Healthcare Enterprise) transactions.

This library specifically focuses on PIX, XDS.a & XDS.b, ATNA, BPPC and XDS-SD profiles in ITI domain, and XDS-MS (Referral & Discharge Summary) and EDR content profiles in PCC domain.

WEKA

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Your rating: None Average: 2.7 (3 votes)

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

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