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Epigrass

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Epigrass is a open-source simulation platform created to study epidemics and their spatial (geographic) dinamics.

Epigrass was developed as a scientific project, by the founders of Metamodellers at the Oswaldo Cruz Foundation. Currently, Metamodellers is the main maintainer of the code, ensuring its continuous improvement while remaining a completely free tool.

eMOCHA

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eMOCHA is a free open-source application, developed by the Johns Hopkins Center for Clinical Global Health Education. eMOCHA is designed to assist health programs in developing countries improve provider communication and education, as well as patient care, by coordinating wireless devices with local server-based clinical training and patient care support services.

ESP

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The Electronic medical record Support for Public health (ESP) project is an automated software application, that analyzes electronic medical record (EMR) data, to identify and report conditions of interest to public health and other agencies.

OpenXDS

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Your rating: None Average: 3.4 (19 votes)

The IHE Cross Enterprise Document Sharing (XDS.b) integration profile facilitates the registration, distribution and access across health enterprises of patient electronic health records. XDS.b is focused on providing a standards-based specification for managing the sharing of medical summary documents between any healthcare enterprise, ranging from a private physician office to a clinic to an acute care in-patient facility.

CONNECT

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CONNECT is an open source software solution that supports health information exchange – both locally and at the national level. CONNECT uses Nationwide Health Information Network (NHIN) standards and governance to make sure that health information exchanges are compatible with other exchanges being set up throughout the country.

OpenATNA

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Your rating: None Average: 4.2 (5 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.

FreeDiams

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Your rating: None Average: 4.5 (22 votes)

FreeDiams prescriber is the result of FreeMedForms prescriber plugins built into a standalone application. FreeDiams is a multi-platform (MacOS, Linux, FreeBSD, Windows), free and open source.

It is developed by medical doctors and is intended for use by these same professionals. It can be used alone to prescribe and / or test drug interactions within a prescription. It can be linked to any application thanks to its command line parameters. Available drugs databases : USA (FDA), Canadian (HCDPD), French (AFSSAPS), South African (SAEPI).

OpenHRE

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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.

Snofyre

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Snofyre is an open source, service oriented API for creating SNOMED CT enabled applications in Java. It provides a number of SNOMED CT related services out of the box. These services can be used:

  • as a starter for understanding how to add SNOMED CT functionality to an application.
  • to rapidly prototype a SNOMED CT enabled application.

Snofyre API aims to

  • reduce the 'ramp up' time needed to understand
  • and embed SNOMED CT functionality in an application.

WEKA

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Your rating: None Average: 2.7 (3 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.

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