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EGADSS

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Your rating: None Average: 2 (12 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.

Homepage: 
http://egadss.sourceforge.net/

MediSnap

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Your rating: None Average: 2 (7 votes)

Photograph, manage, view, compare, document healing processes and archive digital pictures fully integrated into doctor's practice systems. Take a photo and immediately see how the picture gets archived to your current patient automatically.

Homepage: 
http://medisnap.sourceforge.net/

Mayam

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Your rating: None Average: 2 (10 votes)

A Cross-platform DICOM viewer developed in Java using the dcm4che toolkit. Mayam is still work under progress. The current features are:

  • DICOM Listener for Q/R
  • DICOM Send
  • Local DB for storing study information
  • Importing DICOM studies from local disk
  • Parsing DicomDir from local disk or CD
  • Query compressed studies without decompressing them
  • Multiple Studies viewer using Layout,Tab view
Homepage: 
http://www.dcm4che.org/confluence/display/OV/MAYAM

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.

Homepage: 
http://www.cs.waikato.ac.nz/ml/weka/

REMITT

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Your rating: None Average: 5 (1 vote)

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

Homepage: 
http://remitt.org/

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.

Homepage: 
http://freeshim.org/

GNU Gluco Control

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Your rating: None Average: 3.8 (4 votes)

GNU Gluco Control (ggc) helps you to manage your diabetes. It helps managing user's daily data, food data. Has graphs, statistics, printing, meters support and pump support (work in progress).

Homepage: 
http://ggc.sourceforge.net/

OpenHRE

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OpenHRE is the world's first open source toolkit that provides a standard and secure means to exchange data between existing health records systems. With OpenHRE, health professionals can locate, access, and review clinical data related to a specific health consumer, or acquire de-identified clinical data for population studies.

Homepage: 
http://openhre.org/

OMERO

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Your rating: None Average: 5 (2 votes)

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.

Homepage: 
http://www.openmicroscopy.org/

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