EHR-Gen Open Framework is a generator of electronic medical record systems based on openEHR standard and dynamic technologies like Grails Framework and the Groovy language.
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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.
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.
Indivo is the original personally controlled health record (PCHR) system. A PCHR enables an individual to own and manage a complete, secure, digital copy of her health and wellness information. Indivo integrates health information across sites of care and over time. Indivo is free and open-source, uses open, unencumbered standards, and is actively deployed in diverse settings, in particular our own Children's Hospital Boston and the Dossia Consortium.
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.
iTrust is a medical application that provides patients with a means to keep up with their medical history and records as well as communicate with their doctors, including selecting which doctors to be their primary caregiver, and other tasks.
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.
Our mission is to revolutionize healthcare delivery in remote areas through innovative mobile information services that improve patient access to medical specialists for faster, high quality, and more cost effective diagnosis and intervention.
Based on the work and contributions of students, volunteers, partner organizations, and sponsors, Sana offers an open source data collection and collaboration platforms for clinical research and best practice health care delivery for underserved rural populations.
An open source nursing observation database app designed directly with ward nurses.
The Free Diagnostic Pathology Software Project arose from the NHS Improvement’s Lean Histopathology Project in the UK. Histopathology laboratories diagnose diseases, particularly cancers, by examining the appearances of the cells in samples of tissue. Many histopathology laboratories are using antiquated reporting software. Upgrading to a more modern system is expensive. Even the more modern systems often lack the technology needed for pathologists to efficiently report complex cases allowing workflow to be visually managed and supporting the use of customisable templates and proformas.