Search Results for "client server"

Cancer registries need a tool to input, store, check and analyse their data. If these data are also coded and verified in a standard way, it facilitates the production of comparable analyses across registry populations. The main goal of the CanReg5 project is to provide a flexible and easy to use tool to accomplish these objectives. CanReg5 is a multi user, multi platform, open source tool to input, store, check and analyse cancer registry data. It has modules to do: data entry,...

MyOscar is a personal health record system. This project contains both the data storage server as well as a client / patient UI for accessing the data. Other data access clients can be / have been written, the Oscar EMR is one such client. The sourceforge myoscar-users@lists.sourceforge.net is the main mail list and form of communications for this project. The sourceforge Tickets system is the bug and feature tracker for this project.

Xebra is an open source, cross-platform, thin client and server for web-based distribution and clinical review of medical imaging results. Xebra is based on the latest open industry standards including JPEG2000, WADO and IHE XDS-I.

Large set of functions for biological records (ECG, EEG, phono), datastore, datamining and analysis (HRV, QT, RR, ST). The application is written in Java, so that it is assumed to work on all devices. It runs as a desktop or client-server application. It

GELLO is an ANSI-accredited HL7 standard for creating computable, unambiguous clinical queries. This project creates an open source compiler and client-server IDE. Projects are stored in a subversion repository, and created by the RCP based client.

Life Science Identifier (LSID) resolution protocol, to locate biologically significant data over a network, within middle-ware providing a client A.P.I. for Life Science applications, and server software, for Industry data providers.

The i2b2 Center is developing a scalable informatics framework that will bridge clinical research data and the vast data banks arising from basic science research in order to better understand the genetic bases of complex diseases.

The VIA Imaging Application (VIA) is an open-source Diagnostic Imaging Viewer based on open standards such as IHE, JPEG 2000 and JPIP, and DICOM. VIA is written in Java and is composes of a series of client-server applications.