Veterans Health Information Systems and Technology Architecture is a healthcare information system (HIS). VistA is widely believed to be the largest integrated HIS in the world. It was originally developed and maintained by the U.S. Department of Veterans Affairs (VA), based on the systems software architecture and implementation methodology developed by the U.S. Public Health Service jointly with the National Bureau of Standards. It is designed to provide a high-quality medical care environment for the country's military veterans. VistA has a proven track record of supporting a large variety of clinical settings and medical delivery systems.
ClearHealth is a fully comprehensive practice management system and EMR. It takes DNA from the FreeMED and OpenEMR projects, and is based on the Smarty templating engine. It includes support for medications, SOAP data entry, clinical reporting, e-prescribing, and labs. Feature for feature, it can compete with proprietary systems like Nextgen and GE Centricity. It includes support for the iPhone and iPod touch (native application).
Drugref is a collaborative effort to create and maintain a database of pharmaceutical reference information, tagged by language, country, and reference source. A Web interface written in PHP4 allows the community of health professionals to maintain and review content. The database structure, implemented in PostgreSQL, is designed to facilitate automated decision support. "Tagging" allows one to import information from any source in parallel, thus allowing drugref to work as a generic interface to any kind of (comercially or freely) available drug reference information.
Kradview is a viewer of images obtained from different sources such as X-ray, NMR, and DICOM-compatible imaging devices. Its aim is to be an easy-to-use DICOM viewer with instant rendering of images, no matter the size and the zoom of the DICOM image. It allows medical professionals to view X-ray images easily.
lazar (Lazy-Structure-Activity Relationships) is a tool for the prediction of toxic activities of chemical structures. lazar derives predictions from databases with experimental toxicity data. It searches in these databases for compounds with similar structures and calculates the prediction from their measured activities.