PatientExploreR interfaces with a relational database of EHR data in the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). This application produces patient-level interactive and dynamic reports and visualization of clinical data, without requiring programming skills.
Patient Management System to keep track of your patients. Keep Patient Contact Details. Give Appointment. Print Fees Receipt. Stock Management for Medicines and more.
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.
SCIRun is a problem solving environment or "computational workbench" in which a user selects software modules that can be connected in a visual programing environment to create a high level workﬂow for experimentation. Each module exposes all the available parameters necessary for scientists to adjust the outcome of their simulation or visualization. The networks in SCIRun are flexible enough to enable duplication of networks and creation of new modules.
Keeping track of animals shouldn't be a pain. Hospitium was built to make managing animal shelters and rescues simple and pain free. Our software is easy to use and is flexible enough for shelters of all types.
Features animal management, reporting, charts, publishing, and more.
pydicom is a pure python package for working with DICOM files. It was made for inspecting and modifying DICOM data in an easy "pythonic" way. The modifications can be written again to a new file. As a pure python package, it should run anywhere python runs without any other requirements.
pydicom is not a DICOM server, and is not primarily about viewing images. It is designed to let you manipulate data elements in DICOM files with python code.
Mountain Meadow EM is an Office Electronic Medical Record, which is fast, reliable and customizable. Microsoft .NET client programs connect to a local server on the network. Smaller offices can use SQL Server Express. Program pieces compilable with VB or C# Express.
Niftilib is a set of i/o libraries for reading and writing files in the nifti-1 data format. nifti-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images.
Niftilib currently has C, Java, MATLAB, and Python libraries; we plan to add some MATLAB/mex interfaces to the C library in the not too distant future.
"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."