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Simulation Open Framework Architecture (SOFA)

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Your rating: None Average: 5 (3 votes)

SOFA is an Open Source framework primarily targeted at real-time simulation, with an emphasis on medical simulation. It is mostly intended for the research community to help develop newer algorithms, but can also be used as an efficient prototyping tool.

Dicom Widow

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Your rating: None Average: 2 (2 votes)

WIndows Dicom Open Viewer, is a simple viewer for DICOM medical images, to be used especially on removable devices (such as Patient CDs). It is partially based on ezDICOM sources.

HL7v3 Test Harness

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Your rating: None Average: 1.7 (3 votes)

"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."

Mirth

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Your rating: None Average: 3.8 (21 votes)

Mirth is an open source cross-platform HL7 interface engine that enables bi-directional sending of HL7 messages between systems and applications over multiple transports. It is divided in three subprojects:

  • Mirth Connect: Specifically designed for HL7 message integration, Mirth Connect provides the necessary tools for developing, testing, deploying, and monitoring interfaces.

AMIDE

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Your rating: None Average: 3.4 (8 votes)

Amide's a Medical Imaging Data Examiner (AMIDE) is a completely free tool for viewing, analysing, and registering volumetric medical imaging data sets. It's been written on top of GTK+ , and runs on any system that supports this toolkit (Linux, Windows, Mac OS X with fink, etc.).

The 'epiR' R Package

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A package for analysing epidemiological data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, and computing confidence intervals around incidence risk and incidence rate estimates. Miscellaneous functions for use in meta-analysis, diagnostic test interpretation, and sample size calculations.

EGADSS

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Your rating: None Average: 1.9 (10 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.

XDS.b Document Registry and Document Repository Solution Accelerator

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Your rating: None Average: 4.3 (3 votes)

Cross-Enterprise Document Sharing XDS.b is a Microsoft Connected Health Platform Solution Accelerator based on the IHE (www.ihe.net) XDS.b integration profile. XDS.b facilitates the registration, distribution and access across health enterprises of patient electronic information in document format.
The Solution Accelerator implements the XDS.b Document Registry with the Async option and the XDS.b Document Repository with the Async option.

MITO - Medical Imaging TOolkit

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Your rating: None Average: 4.7 (3 votes)

The "MITO - Medical Imaging TOolkit" project coagulates a number of activities aimed at defining and implementing an open-source, cross-platform software architecture for advanced Medical Imaging. MITO toolkit makes it possible to fetch radiological information and images stored in a PACS according to the standard format DICOM, then provides the final user with basic functionalities such as 2D-3D visualization (VR, SR, MIP), image segmentation and fusion, ROI. Moreover, MITO provides interaction techniques for manipulating 3D medical data in a virtual environment by 2 DOF input devices.

ADDIS

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Your rating: None Average: 3 (1 vote)

ADDIS is a software developed within the Dutch Escher-project for managing and analyzing clinical trial information.

ADDIS is a proof-of-concept system that allows us to simultaneously discover the possibilities of and the requirements on a database of structured clinical trials data. The automated discovery and (meta-)analysis of trial data, as well as benefit-risk assessment is supported.

ADDIS comes with two built-in examples:

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