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EHRflex

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Your rating: None Average: 3 (8 votes)

EHRflex is an archetype-based clinical registry system (EHR) independent of a particular reference model. It uses clinical archetypes as guidelines for the automatic generation of web interfaces, oriented to a clinical use and data introduction.

REMITT

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REMITT is a revolutionary medical information translation and transmission system, which is primarily used for preparing and submitting medical billing data.

REMITT works independent of any specific electronic medical record (EMR) or practice management (PM) system, and can interface with any EMR or PM system which implements its application programming interface (API). The first system to do so has been FreeMED.

Currently Supported Formats

  • HCFA-1500/CRM-1500
  • ANSI NSF X12 837 Professional

Currently Supported Output Types

    tinyHeb

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    Your rating: None Average: 3.7 (3 votes)

    tinyHeb is a billing software for midwives in Germany to do the legal accounting with the health insurance companies in Germany. tinyHeb runs under Linux and Windows operating systems. It enables the midwives to produce paper and electronic bills, and meets the legal requirements of §301a, §302 SGB V, resp. The tariff structure introduced in 2007 is no problem at all.

    Zyxware Health Monitoring System

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    Your rating: None Average: 4.5 (2 votes)

    Zyxware Health Monitoring System is a web based disease monitoring for monitoring diseases like chikungunya, malaria - reported by hospitals in a district, county, state or country. There is a reporting & analysis module and a GIS module which displays the data using google maps.

    openMEDIS

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    Your rating: None Average: 4.3 (3 votes)

    OpenMEDIS is a simple, flexible, and standardized tool to collect (inventory) and process (manage) information on health technology infrastructure, e.g. medical devices in low- and middle income countries.

    RANDI2

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    Your rating: None Average: 2.7 (7 votes)

    RANDI2 is an open source web application for randomization within clinical trials. It supports a variety of randomization algorithms and offers a very useful set of functions for randomization data & progress visualization and trial management - for more information please visit http://www.randi2.org

    OMERO

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    Your rating: None Average: 5 (1 vote)

    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.

    Oviyam

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    Your rating: None Average: 4 (6 votes)

    Oviyam is a web based DICOM Viewer. Using standard DICOM protocols patient lists can be queried, particular series or studies retrieved and be displayed as JPEG images in your browser. Oviyam will work with any DICOM server that supports WADO (Web Access to DICOM Persistent Objects).

    Oviyam is a free download and is pre-packaged for deployment with JBoss.
    The source is triple licensed under MPL 1.1/GPL 2.0/LGPL 2.1.

    Oviyam is built using the dcm4che toolkit and script.aculo.us framework.

    DICOM#

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    Your rating: None Average: 2 (4 votes)

    DICOM# open source project is intented to provide an OO class library for DICOM communication and will be developed purely by C# and running in .NET environment. DICOM# partially rewrites dcm4che open source project in C#.

    Caisis

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    Your rating: None Average: 4.5 (2 votes)

    Caisis is an open source, web-based cancer data management system that integrates research with patient care. The system is freely distributed to promote scientific collaboration, and over the course of the last five years many other institutions have adopted the system. Collaboration with multiple centers has allowed Caisis to develop and evolve in an environment of constant feedback and scrutiny. This environment has shaped the features, usability, and accessibility of Caisis.

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