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Open PHACTS

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What is Open PHACTS?
To reduce the barriers to drug discovery in industry, academia and for small businesses, the Open PHACTS consortium is building the Open PHACTS Discovery Platform. This will be freely available, integrating pharmacological data from a variety of information resources and providing tools and services to question this integrated data to support pharmacological research.
The project is ending in August 2014.

DCMTK - DICOM Toolkit

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Your rating: None Average: 4 (32 votes)

DCMTK is a collection of libraries and applications implementing large parts the DICOM standard. It includes software for examining, constructing and converting DICOM image files, handling offline media, sending and receiving images over a network connection, as well as demonstrative image storage and worklist servers. DCMTK is is written in a mixture of ANSI C and C++.

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.

Open Food Order System (OFOS)

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Your rating: None Average: 3.7 (3 votes)

This food and menu order system is specially designed for hospitals and similar institutions.

Live without tobacco project

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First open-source tobacco intervention, a fully-automated website built mainly using Java and open-source software. The content is based on widely accepted guidelines for tobacco and dependence treatment and scientific research.

Termserver CTS2

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The main function of a terminology server is the computer-aided representation/expostulation of medical terminologies as well as offering services to access them (completely or partially) and attribute based code systems.

The terminology server of the University of Applied Sciences and Arts Dortmund is a composition of several web services and provides a terminology browser to display and maintain the content.
A collaboration environment supports the development of terminologies in a team. Moreover a command line tool to import Code Systems and Values Sets is included.

ACHILLES

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ACHILLES is a platform which enables the characterization, quality assessment and visualization of observational health databases. ACHILLES provides users with an interactive, exploratory framework to assess patient demographics, the prevalence of conditions, drugs and procedures, and to evaluate the distribution of values for clinical observations.

ACHILLES is intended to be implemented by organizations that have patient-level observational health databases available in their local environment.

Usagi

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Usagi is a software tool created by the Observational Health Data Sciences and Informatics (OHDSI) team and is used to help in the process of mapping codes from a source system into the standard terminologies stored in the Observational Medical Outcomes Partnership (OMOP) Vocabulary (http://www.ohdsi.org/data-standardization/vocabulary-resources/).

Tidepool

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We believe that you own your own diabetes data. It’s your disease, so it’s your data. If you would like to donate your data to an anonymous database, we’ll make that easy. If you’d like to share data with your doctor, we’ll make that easy, too.

We believe that diabetes data should be easily accessible through a secure, modern platform that enables a vibrant ecosystem of applications.

We believe in great design, that mobile and web applications should be elegant, intuitive and easy to use. We believe that with the right context, data can be meaningful and actionable.

SHIMMER

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Shimmer is free and open-source, so you can easily add your own integrations and audit existing ones. Not to mention, you can use it with any programming language.
Fast to deploy: Stop wasting time trying to get digital health data - quickly deploy Shimmer with a few commands both locally and in the cloud.

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