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 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.
- Axial 360 is an interface engine and connector library that enables health care systems of all types - hospital systems, lab systems, EHRs, HIEs, etc - to share clinical data when it is needed.
- Axial 360 is built using best-of-bread open source components that enable improved scalability, extensibility, and modularity relative to other interface engines.
- Axial 360 will feature a library of free “connectors” developed by the open source community, that will reduce the time required to interface with applications.
Occupancy in certain hospital patient care units is impacted by procedure scheduling policies and practices. For example, intensive care unit occupancy is strongly related to open heart surgery schedules. Similarly, occupancy in obstetrical postpartum units is impacted by the daily number of scheduled labor inductions and cesarean sections. That was the motivation for this project.
OBsched is a set of optimization models and supporting software for exploring the relationship between patient scheduling and nursing unit occupancy in hospitals.
A Python function library to extract EEG feature from EEG time series in standard Python and numpy data structure. Features include classical spectral analysis, entropies, fractal dimensions, DFA, inter-channel synchrony and order, etc.
MediPy is a cross-platform software (Windows, Linux, Mac OS), dedicated to the visualization and processing aspects of medical imaging. It is targeted at both physicians and researchers, being both user-friendly and easy to extend. Physicians will benefit from the pre-programmed tasks (e.g. segmentation, registration, detection of lesions) and the possibility to record new tasks, tailoring the software to each user. The use of standard file formats (Analyze/Nifti, Dicom) allows to load image from many sources, as well as integrate to a PACS.
RapidSMS is a SMS-based (text message) framework that manages data collection, complex workflows, and group coordination using basic mobile phones — and can present information on the internet as soon as it is received. So far RapidSMS has been customized and deployed with diverse functionality: remote health diagnostics, nutrition surveillance, supply chain tracking, registering children in public health campaigns, and community discussion.
The complexity of cellular networks is an outstanding challenge for documentation, visualisation and mathematical modelling. In this project, we develop a new way to describe these networks that minimises the combinatorial complexity and allows an automatic visualisation and export of mathematical (ODE/rulebased) models.
- Automatic visualiztion with Cytoscape.
- Automatic generation of rule based models for BioNetGen.
- Storage of biological facts that can be used for modelling.
dicompyler is an extensible, fully open source radiation therapy research platform based on the DICOM standard. It also functions as a cross-platform viewer for DICOM and DICOM RT objects. dicompyler is written in Python and is built on pydicom, wxPython, PIL, and matplotlib and runs on Windows, Mac OS X and Linux.
PsychoPy is an open-source application to allow the presentation of stimuli and collection of data for a wide range of neuroscience, psychology and psychophysics experiments. It’s a free, powerful alternative to Presentation™ or e-Prime™ . It’s written in Python (a free alternative to Matlab™ ) and combines the graphical strengths of OpenGL with the easy Python syntax to give psychophysics a free and simple stimulus presentation and control package.