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PyMVPA

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Your rating: None Average: 3.7 (3 votes)

"PyMVPA is a Python module intended to ease pattern classification analyses of large datasets. In the neuroimaging contexts such analysis techniques are also known as decoding or MVPA analysis. PyMVPA provides high-level abstraction of typical processing steps and a number of implementations of some popular algorithms. While it is not limited to the neuroimaging domain, it is eminently suited for such datasets. PyMVPA is truly free software (in every respect) and additionally requires nothing but free-software to run."

ESP

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Your rating: None Average: 3 (2 votes)

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.

CASE

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The main goal of the Computer Assisted Search for Epidemics (CASE) project is to develop a reliable system that generates warnings when the number of reported cases of a particular infectious disease reaches a level that indicates an unusual or unexpected rate. The system is currently in use at the Swedish Institute for Infectious Disease Control (SMI). It performs daily surveillance using data obtained from the database to which all notifiable diseases are reported in Sweden.

EGADSS

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Your rating: None Average: 2.1 (11 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.

php Easy Survey Package (phpESP)

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Your rating: None Average: 3.2 (14 votes)

phpESP is a collection of PHP scripts to let non-technical users create surveys, administer surveys, gather results, view statistics. All managed online after database initialization.

ACHILLES

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ACHILLES is a platform which enables the characterization, quality assessment and visualization of observational health databases. ACHILLES provides users with an interactive, exploratory framework to assess patient demographics, the prevalence of conditions, drugs and procedures, and to evaluate the distribution of values for clinical observations.

ACHILLES is intended to be implemented by organizations that have patient-level observational health databases available in their local environment.

popHealth

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Your rating: None Average: 2.3 (3 votes)

popHealth is a prototype open source tool that automates population health reporting. popHealth integrates with a provider’s electronic health record (EHR) system to produce summary quality measures on the provider’s patient population and streamlines the reporting of these measures.

Tolven Health Record

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Your rating: None Average: 4 (5 votes)

The Tolven platform and ePHR and eCHR applications enable interoperability across electronic health records for consumers and clinicians. Using Java, EJB3, Faces, Facelets, AJAX, relational database, and LDAP for security.

ClinStudyWeb

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Your rating: None Average: 3.7 (3 votes)

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.

OpenClinica

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Your rating: None Average: 4.3 (8 votes)

OpenClinica is a free, open source clinical trial software platform for Electronic Data Capture (EDC) clinical data management in clinical research. The software is web-based and designed to support all types of clinical studies in diverse research settings. From the ground up, OpenClinica is built on leading, independent standards to achieve high levels of interoperability and regulatory compliance. Its modular architecture and transparent, collaborative development model offer outstanding flexibility while supporting a robust, enterprise class, regulatory compliant, solution.

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