Open Source Windows Healthcare Software

OpenVista(R) is the open-source version of VistA, an enterprise grade health care information system developed by the U.S. Veterans Affairs and deployed at 1,500 global facilities. OpenVista is a registered trademark of Medsphere Systems Corporation

Hospital OS is a hospital information system for small-sized hospitals (100 beds or less, 200 out-patients per day or less). Hospital OS was developed for the healthcare system of Thailand targeting its small community hospitals nation-wide.

Manage your information by create input Data Table, Export data based on your statistical requirements automatically, Consolidation of information for the team work.

CRM para centros donde se aplican tratamientos. Ya sean centros de estética, clinicas dentales, peluquerías, clinicas de fisioterapia, etc.

TORCH is a web enabled electronic health record (EHR) application. TORCH is usable in single practitioner offices and scalable up to multi-site practices.

Front end for usda nutrient ms access database. Provides similar reporting functionality as the USDA National Nutrient Database for Standard Reference website's search.

An attempt to create a competitive new package for management of a veterinary practice. Goals are to have a solid and robust internal structure and an extremely efficient, attractive, and intuitive user interface.

The Wedgetail project provides the basis for a shared electronic health record. The project provides a schema for an SQL implementation of a sharedEHR, as well as the tools required to interact securely with the database.

The coronavirus package gives a tidy format dataset of the 2019 Novel Coronavirus COVID-19 (2019-nCoV) epidemic. Relevant and updated information about the virus, such as summary of new cases by country and total number of cases by region can be retrieved from this package. The raw data is pulled and arranged by the Johns Hopkins University Center for Systems Science and Engineering, which is gathered from various leading sources including the World Health Organization, China CDC, US CDC, European Centre for Disease Prevention and Control, and Australia Government Department of Health.

To build a public open dataset of chest X-ray and CT images of patients who are positive or suspected of COVID-19 or other viral and bacterial pneumonia (MERS, SARS, and ARDS.). Data will be collected from public sources as well as through indirect collection from hospitals and physicians. All images and data will be released publicly in this GitHub repo. This project is approved by the University of Montreal's Ethics Committee #CERSES-20-058-D. We can extract images from publications. Help identify publications that are not already included using a GitHub issue (DOIs we have are listed in the metadata file). There is a searchable database of COVID-19 papers. We want to improve prognostic predictions to triage and manage patient care. Data is the first step to developing any diagnostic/prognostic tool. Our goal is to use these images to develop AI-based approaches to predict and understand the infection.