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Grassroots DICOM (GDCM)

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Your rating: None Average: 3.7 (11 votes)

Grassroots DICOM (GDCM) is an implementation of the DICOM standard designed to be open source so that researchers may access clinical data directly. GDCM includes a file format definition and a network communications protocol, both of which should be extended to provide a full set of tools for a researcher or small medical imaging vendor to interface with an existing medical database.

Axial 360

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Your rating: None Average: 2.3 (4 votes)
  • Axial 360 is an interface engine and connector library that enables health care systems of all types - hospital systems, lab systems, EHRs, HIEs, etc - to share clinical data when it is needed.
  • Axial 360 is built using best-of-bread open source components that enable improved scalability, extensibility, and modularity relative to other interface engines.
  • Axial 360 will feature a library of free “connectors” developed by the open source community, that will reduce the time required to interface with applications.

DicomBrowser

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Your rating: None Average: 4.5 (2 votes)

DicomBrowser is an application for inspecting and modifying DICOM metadata in many files at once. A single imaging session can produce thousands of DICOM files; DicomBrowser allows users to view and edit a whole session—or even multiple sessions—at once. Users can save the original or modified files to disk, or send them across a network to a DICOM C-STORE service class provider, such as a PACS or an XNAT.

cancer Biomedical Informatics Grid (caBIG)

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Your rating: None Average: 3 (3 votes)

The National Cancer Institute (NCI) has launched the caBIG initiative to accelerate research discoveries and improve patient outcomes by linking researchers, physicians, and patients throughout the cancer community.

Project HealthDesign Common Platform

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Your rating: None Average: 2.3 (3 votes)

The Project HealthDesign Common Platform is a set of software components that provide common, shared functions to a variety of personal health applications (PHAs). The goal of “centralizing” these functions is to reduce personal health application implementation time and increase interoperability among the PHAs. The common platform components are currently implemented as web services that PHAs may access via standard web interfaces. Services exist for storing observations and medications, as well as for providing authentication, registry, and access-control functions.

Net4Care

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Your rating: None Average: 5 (1 vote)

The research project Net4Care's aim is to develop a ecosystem to make it easy for small and medium sized businesses (SMBs) to build telemedical applications for the home.

The main area of support within the present edition is handling clinical observations in the home and ensuring they become available for clinician's work.

The Net4Care framework helps in this by providing:

Bots

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Your rating: None Average: 3.7 (3 votes)

"Bots for the translations and communication needed in Electronic Data Interchange (EDI). Bots has three main functions: 'Any-to-any-format' data conversions, (Secure) communications and manage and overview EDI data flows."

epSOS Common Components

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Your rating: None Average: 3.7 (3 votes)

The epSOS project has released interoperability specifications (Common Components Specification) for national Contact Points (NCPs) to interact and support epSOS defined services such as patient summary and prescription. epSOS has also established a testing process for testing compliant implementations of these specifications, and ensure their interoperability.

Chiapas

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Your rating: None Average: 1 (3 votes)

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.

OpenEMed

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Your rating: None Average: 3 (2 votes)

OpenEMed is a set of distributed healthcare information service components built around the OMG distributed object specifications and the HL7 (and other) data standards and is written in Java for platform portability. We emphasize the interoperable service functionality that this approach provides in reducing the time it takes to build a healthcare related system. It is not intended as a turnkey system but rather a set of components that can be assembled and configured to meet a variety of tasks.

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