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ESP

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Your rating: None Average: 3 (1 vote)

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.

Caisis

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Your rating: None Average: 4.5 (2 votes)

Caisis is an open source, web-based cancer data management system that integrates research with patient care. The system is freely distributed to promote scientific collaboration, and over the course of the last five years many other institutions have adopted the system. Collaboration with multiple centers has allowed Caisis to develop and evolve in an environment of constant feedback and scrutiny. This environment has shaped the features, usability, and accessibility of Caisis.

php Easy Survey Package (phpESP)

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Your rating: None Average: 3.3 (11 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.

Tolven Health Record

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Your rating: None Average: 3.8 (4 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.

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.

ClinStudyWeb

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Your rating: None Average: 3 (2 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.

openCDMS

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Your rating: None Average: 2.7 (17 votes)

The openCDMS project is a community effort to develop a robust, commercial-grade, full-featured and open source clinical data management system for studies and trials. The philosophy behind openCDMS is to enable clinical researchers to manage the full life cycle of their clinical research project, from design through to archiving, without any specialist knowledge of databases or IT systems.

openCDMS provides purpose built visual tools the enable clinical researchers to design, develop, implement, and manage large scale, multi-centre studies and trials quickly and easily.

OpenClinica

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Your rating: None Average: 4.1 (7 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.

GNU Health

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Your rating: None Average: 3.9 (22 votes)

GNU Health (previously known as "Medical") is a free Health and Hospital Information System that provides the following functionality:

  • Electronic Medical Record (EMR)
  • Hospital Information System (HIS)
  • Health Information System

GNU Health at a glance:

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