To lower the barrier to integration and expedite health care interoperability, Open Health Tools provides client side implementations of several key IHE profiles. These implementations were used successfully by over 35 systems to date at the 2007-2010 Connectathons in North America and Europe.
O3-DPACS is a PACS (Picture Archiving and Communication System) extended to all types of data and signals that can be managed through DICOM protocol. It is the latest evolution of the DPACS system, born in 1996 thanks to the Group of Bioengineering and Information Technology of Professor Paolo Inchingolo.
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.
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.
The Gazelle project is aimed at developing testing tools for IHE. This tools shall test the interoperability of medical systems and the compliance of the messages send bu those systems with standards recommended by IHE.
Gazelle is replacing Kudu, the tool that was first designed to manage IHE connectathon.
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).
Optimizes the database so that entities such as active participants, audit sources, participant objects and codes are not duplicated for every message received.
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.
ClinStudyWeb is designed to provide a flexible infrastructure for managing patient and assay data from clinical studies. It uses a plugin system for study-specific web forms and arbitrarily complex test classifiers, and supports XML import/export.