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.
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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.
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).
- 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.
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.
MRIdb is an end-to-end data management system for MRI, combining the DCM4CHEE DICOM server with a bespoke front-end packaged into an easily deployable virtual machine. It interfaces directly with MRI scanners and handles image storage, retrieval and export. It provides role-based access control, patient-study assignment, and extensive auditing. MRIdb is the result of an ongoing collaboration between the BSS and the Imaging Sciences Department of Imperial College.
tranSMART is a knowledge management platform that enables scientists to develop and refine research hypotheses by investigating correlations between genetic and phenotypic data, and assessing their analytical results in the context of published literature and other work.
The integration, normalization, and alignment of data in tranSMART permits users to explore data very efficiently to formulate new research strategies. Some of tranSMART's specific applications include:
OpenPPRN is a collaboration between multiple Patient-Powered Research Networks to build an open, shared patient-facing web & mobile technology infrastructure.
With this "Open" PPRN, in the push of a button, you'll be able to deploy a Patient-Powered Research Network that is complete with:
- Patient Registry
- Research Survey Platform
- Health Data Aggregation & Visualization
- Mobile Health Tracking
- Patient Social Network
Customizable: Select just the features you want.
OPAL Is a full stack web framework for building health care applications.
OPAL encourages rapid development, and elegant, pragmatic design.
Focussed on health care, it builds on years of research and design to
help you in building your app. It's free and open source.
Highly customisable open source software for managing inpatients & outpatients with infections.
Designed for infection services, features include
EtherCIS (Ethereal Clinical Information System) is an Open Source platform compatible with the openEHR standard. It is design to allow simple interactions with clients using RESTful API and persist clinical data in a separate DB engine. Clinical data are exchanged using different formats:
FLAT JSON: which is a flatten representation of access path along with the corresponding field value
Canonical XML: representing an openEHR composition in standard XML
For more details on data representation in openEHR see this page