Project Wizard

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Real-time Outbreak and Disease Surveillance (RODS)

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Your rating: None Average: 2.7 (6 votes)

"Real-time Outbreak and Disease Surveillance (RODS) is open-source public health surveillance software. RODS collects and analyzes disease surveillance data in real time and has been in development since 1999 by the RODS Laboratory. In 2002, the Utah Department of Health used the software for monitoring during the Winter Olympics Games. At present, health departments and other groups in the United States, Canada and Taiwan use the software."

Ruby HL7

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Your rating: None Average: 2.3 (4 votes)

Ruby HL7 is a simple library for parsing and generating HL7 2.x messages. 3.x support is planned in the future.

Laika

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Your rating: None Average: 3.5 (4 votes)

Laika analyzes and reports on the interoperability capabilities of EHR systems. This includes the testing for certification of EHR software products and networks.

To support EHR data interoperability testing, Laika is designed to verify the input and output of EHR data against the standards and criteria identified by the Certification Commission for Health Information Technology (CCHIT). Laika is used by the Certification Commission to perform part of the interoperability certification inspection of EHRs.

EGADSS

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Your rating: None Average: 1.9 (10 votes)

EGADSS (Evidence-based Guideline and Decision Support System) is an open source tool that is designed to work in conjunction with primary care Electronic Medical Record (EMR) systems to provide patient specific point of care reminders in order to aid physicians provide high quality care. EGADSS is designed as a stand alone system that would respond to requests from existing Electronic Medical Records such as Wolf, Med Access, and MedOffIS to provide patient specific clinical guidance based on its internal collection of guidelines.

WEKA

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Your rating: None Average: 3 (2 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.

DICoogle

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Your rating: None Average: 4.1 (21 votes)

Dicoogle PACS is a distributed medical image system and offers the following features:

Mergence

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Your rating: None Average: 2 (1 vote)

"Mergence is a high performance, open source HL7integration engine and application platform. It was developed to fill the need for an open source, fully transactional healthcare integration system capable of handling millions of messages per day, and thousands of concurrent LLP connections. Mergence is based on Apache ServiceMix, a lightweight enterprise service bus which conforms to the JBI standard, and HAPI, an excellent opensource HL7v2 API. We plan to support HL7v3 in the next release."

Xebra

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Your rating: None Average: 3.2 (13 votes)

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.

tinyHeb

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Your rating: None Average: 3.7 (3 votes)

tinyHeb is a billing software for midwives in Germany to do the legal accounting with the health insurance companies in Germany. tinyHeb runs under Linux and Windows operating systems. It enables the midwives to produce paper and electronic bills, and meets the legal requirements of §301a, §302 SGB V, resp. The tariff structure introduced in 2007 is no problem at all.

ImmunoRatio

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Your rating: None Average: 3.3 (12 votes)

ImmunoRatio is a free web application for automated image analysis of estrogen receptor (ER), progesterone receptor (PR), and Ki-67 immunostained tissue sections.

The application:

  1. segments diaminobenzidine-stained (DAB) and hematoxylin-stained nuclei regions from the user-submitted image,
  2. calculates the percentage of DAB-stained nuclear area over total nuclear area (=labeling index), and
  3. generates a pseudo-colored result image matching the area segmentation (see the example on right side).

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