Project Wizard

You can use the category filters given on the right sidebar to narrow down your search results.

Real-time Outbreak and Disease Surveillance (RODS)

Rating: 
Your rating: None Average: 2.7 (6 votes)

"Real-time Outbreak and Disease Surveillance (RODS) is open-source public health surveillance software. RODS collects and analyzes disease surveillance data in real time and has been in development since 1999 by the RODS Laboratory. In 2002, the Utah Department of Health used the software for monitoring during the Winter Olympics Games. At present, health departments and other groups in the United States, Canada and Taiwan use the software."

IHE open source

Rating: 
Your rating: None Average: 2.4 (7 votes)

This project holds an implementation of the Cross-Enterprise Document Sharing (XDS) profile as defined by IHE (ihe.net). It includes implementations of both the Document Registry and Document Repository actors.

The project is deployed at the XDS Public Registry Test Facility of the National Institute of Standards and Technology (NIST).

Indivo

Rating: 
Your rating: None Average: 4 (2 votes)

Indivo is the original personally controlled health record (PCHR) system. A PCHR enables an individual to own and manage a complete, secure, digital copy of her health and wellness information. Indivo integrates health information across sites of care and over time. Indivo is free and open-source, uses open, unencumbered standards, and is actively deployed in diverse settings, in particular our own Children's Hospital Boston and the Dossia Consortium.

tinyHeb

Rating: 
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.

OpenATNA

Rating: 
Your rating: None Average: 4 (4 votes)

ATNA is an IHE security profile representing Audit Trail and Node Authentication. OpenATNA is an implementation of an Audit Record Repository supporting RFC 3881 audit messages over BSD Syslog as well as RFC 5424-5426 (UDP and TLS).

OpenATNA Features:

  • Optimizes the database so that entities such as active participants, audit sources, participant objects and codes are not duplicated for every message received.
  • Performs validation of messages as they arrive.
  • Optionally logs errors as well as audit messages.
  • Supports TLS and UDP.

RANDI2

Rating: 
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

DICOM#

Rating: 
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#.

iTrust

Rating: 
Your rating: None Average: 2.5 (8 votes)

iTrust is a medical application that provides patients with a means to keep up with their medical history and records as well as communicate with their doctors, including selecting which doctors to be their primary caregiver, and other tasks.

OpenHRE

Rating: 
Your rating: None Average: 1 (3 votes)

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.

WEKA

Rating: 
Your rating: None Average: 3 (2 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.

Pages