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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

Homepage: 
http://remitt.org/

MRmap

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Your rating: None Average: 3.2 (14 votes)

MRmap is a flexible software tool that enables T1, T2, and T2* mapping from source images of multiple types of pulse sequences (IR-prepared multi-image T1 mapping, Look-Locker/ TOMROP T1 mapping, MOLLI T1 mapping; single- and multi-echo T2/ T2* mapping).

MRmap is a pure research tool and is not intended for any diagnostic or clinical use.

Homepage: 
http://sourceforge.net/projects/mrmap/

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

Snofyre

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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:

  • as a starter for understanding how to add SNOMED CT functionality to an application.
  • to rapidly prototype a SNOMED CT enabled application.

Snofyre API aims to

  • reduce the 'ramp up' time needed to understand
  • and embed SNOMED CT functionality in an application.
Homepage: 
http://code.google.com/p/snofyre/

PyMVPA

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Your rating: None Average: 3.7 (3 votes)

"PyMVPA is a Python module intended to ease pattern classification analyses of large datasets. In the neuroimaging contexts such analysis techniques are also known as decoding or MVPA analysis. PyMVPA provides high-level abstraction of typical processing steps and a number of implementations of some popular algorithms. While it is not limited to the neuroimaging domain, it is eminently suited for such datasets. PyMVPA is truly free software (in every respect) and additionally requires nothing but free-software to run."

Homepage: 
http://www.pymvpa.org/

HL7 Inspector

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Your rating: None Average: 2.8 (15 votes)

The HL7 Inspector is a useful hl7 tool for integration the HL7 in a health care environmental. It will help you to minimize the time for tuning the HL7 communication between systems such as HIS and RIS by analyzing and validating HL7 messages.

Homepage: 
http://hl7inspector.elomagic.de/

PyEEG

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Your rating: None Average: 2 (4 votes)

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.

Homepage: 
http://code.google.com/p/pyeeg/

OpenMedSpel

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OpenMedSpel is a free and open source USA English medical spelling word list that is released under a GPL license.

It includes nearly 50,000 medical terms ranging from abdominis to zygomatic, which allows you to concentrate on your work instead of looking up words in a medical dictionary that are not in a standard USA English spelling dictionary.

Homepage: 
http://www.e-medtools.com/openmedspel.html

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/

OpenEMed

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Your rating: None Average: 3 (2 votes)

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.

Homepage: 
http://openmed.sourceforge.net/

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