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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.).
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).
The main goal of the Computer Assisted Search for Epidemics (CASE) project is to develop a reliable system that generates warnings when the number of reported cases of a particular infectious disease reaches a level that indicates an unusual or unexpected rate. The system is currently in use at the Swedish Institute for Infectious Disease Control (SMI). It performs daily surveillance using data obtained from the database to which all notifiable diseases are reported in Sweden.
The Open Health Assistant platform provides a set of remote social-healthcare service solutions that are personalized for patients who require some type of personalized monitoring or help, both at and away from the home.
Open Health Assistant helps in the daily lives of people with chronic care needs, such as assisted living for elderly or dependent persons, facilitating mobile assistance services that cut down on visits to hospitals and doctor house calls, as well as assistance provided by emergency services, minimizing travel and the cost of public healthcare services.
pydicom is a pure python package for working with DICOM files. It was made for inspecting and modifying DICOM data in an easy "pythonic" way. The modifications can be written again to a new file. As a pure python package, it should run anywhere python runs without any other requirements.
pydicom is not a DICOM server, and is not primarily about viewing images. It is designed to let you manipulate data elements in DICOM files with python code.
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.
phpESP is a collection of PHP scripts to let non-technical users create surveys, administer surveys, gather results, view statistics. All managed online after database initialization.
Niftilib is a set of i/o libraries for reading and writing files in the nifti-1 data format. nifti-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images.
Niftilib currently has C, Java, MATLAB, and Python libraries; we plan to add some MATLAB/mex interfaces to the C library in the not too distant future.
RT_Image is an application developed in the Department of Radiation Oncology and MIPS at Stanford University. Coded in the Interactive Data Language (IDL, ITT Visual Information Solutions), RT_Image was originally designed in 2003 to generate radiotherapy target volumes from positron emission tomography (PET) datasets. It has since evolved to embody a variety of tools for visualizing, quantitating, and segmenting three-dimensional images.
Chiapas is an enterprise level HIPAA data translation package. It supports all major healthcare transactions and a variety of SQL databases and file types, and incorporates a script parser and a GUI studio for development and maintaining specifications.
"According to the homepage: "After nearly 10 years, the openCDMS system..."
posted by holger on openCDMS 6 years 7 months
"For details about the fork see these discussions FreeHealth 7 years 1 month
"Glucosio wins award from Black Duck for top new OSS projects in 2015!
..."
posted by demski on Glucosio 8 years 4 days
"Free D Path in 2014 won an award in the category of ‘best use of IT to..."
posted by demski on Free D Path 9 years 1 month
"AuShadha Open Source EMR has moved to Django 1.7.x
..."
posted by dreaswar on AuShadha 9 years 4 months