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"The HL7 Test Harness system is an HL7 v3 message conformance testing application that also provides the ability to simulate the message processing actions of a client and/or server system. The app provides message workflow, format and content testing."
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.
The IHE Cross Enterprise Document Sharing (XDS.b) integration profile facilitates the registration, distribution and access across health enterprises of patient electronic health records. XDS.b is focused on providing a standards-based specification for managing the sharing of medical summary documents between any healthcare enterprise, ranging from a private physician office to a clinic to an acute care in-patient facility.
This project provides a simple but flexible Perl Toolkit for using the HL7 protocol. The toolkit consists of a Perl API, an implementation of a pluggable forking HL7 server, and an HL7 message queue daemon for developing HL7 capable applications in Perl.
Snofyre is an open source, service oriented API for creating SNOMED CT enabled applications in Java. It provides a number of SNOMED CT related services out of the box. These services can be used:
Snofyre API aims to
Ruby HL7 is a simple library for parsing and generating HL7 2.x messages. 3.x support is planned in the future.
A Python function library to extract EEG feature from EEG time series in standard Python and numpy data structure. Features include classical spectral analysis, entropies, fractal dimensions, DFA, inter-channel synchrony and order, etc.
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.
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.
"DataServer is an open source XML gateway, specially tailored for the medical domain. DataServer is middleware, situated between clients and traditional Health Information Systems (HIS), Radiology Information Systems (RIS) and Picture Archive and Communication Systems (PACS). It supports relational (SQL), SOAP, and HTTP data sources out of the box, but is highly extensible for custom types."
"According to the homepage: "After nearly 10 years, the openCDMS system..."
posted by holger on openCDMS 6 years 8 months
"For details about the fork see these discussions FreeHealth 7 years 2 months
"Glucosio wins award from Black Duck for top new OSS projects in 2015!
..."
posted by demski on Glucosio 8 years 4 weeks
"Free D Path in 2014 won an award in the category of ‘best use of IT to..."
posted by demski on Free D Path 9 years 2 months
"AuShadha Open Source EMR has moved to Django 1.7.x
..."
posted by dreaswar on AuShadha 9 years 5 months