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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.

FreeSHIM

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Your rating: None Average: 1 (2 votes)

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.

cancer Biomedical Informatics Grid (caBIG)

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Your rating: None Average: 3 (3 votes)

The National Cancer Institute (NCI) has launched the caBIG initiative to accelerate research discoveries and improve patient outcomes by linking researchers, physicians, and patients throughout the cancer community.

GT.M

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Your rating: None Average: 4 (2 votes)

GT.M is a FOSS (AGPL v3) implementation of M (also known as MUMPS), a combination of a procedural programming language well integrated with a hierarchical key-value database engine. M is widely used in enterprise scale healthcare applications and application suites, such as the VistA implementations. GT.M scales up to very large databases (the largest production sites have aggregate databases to several TB) and thousands of concurrent users.

CONNECT

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Your rating: None Average: 1 (1 vote)

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.

Project HealthDesign Common Platform

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Your rating: None Average: 2.3 (3 votes)

The Project HealthDesign Common Platform is a set of software components that provide common, shared functions to a variety of personal health applications (PHAs). The goal of “centralizing” these functions is to reduce personal health application implementation time and increase interoperability among the PHAs. The common platform components are currently implemented as web services that PHAs may access via standard web interfaces. Services exist for storing observations and medications, as well as for providing authentication, registry, and access-control functions.

HL7 Inspector

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Your rating: None Average: 2.6 (14 votes)

The HL7 Inspector is a useful hl7 tool for integration the HL7 in a health care environmental. It will help you to minimize the time for tuning the HL7 communication between systems such as HIS and RIS by analyzing and validating HL7 messages.

OpenEMed

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Your rating: None Average: 3 (2 votes)

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

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Your rating: None Average: 2.1 (11 votes)

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.

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