The LibreHealth EHR application is a clinically-focused electronic health record (EHR) system designed to be both easy to use “out of the box” and also customizable for use in a variety of health care settings. It builds on the strength of the LibreHealth Toolkit, and adapts many of the proven user experiences built over many years in the OpenEMR system. It is designed to be a modern, easy-to-use experience for health care professionals in their daily work.
Shimmer is free and open-source, so you can easily add your own integrations and audit existing ones. Not to mention, you can use it with any programming language.
Fast to deploy: Stop wasting time trying to get digital health data - quickly deploy Shimmer with a few commands both locally and in the cloud.
OpenEMR Mobile of a mobile version of OpenEMR optimized for users of web-enabled cell phone devices. The mobile website allows authorized users to securely and quickly access the scheduling data of an existing installation of OpenEMR from anywhere via a cellular or Wi-Fi connection. Two different versions of the mobile website are available, one for handhelds with full browser support and one optimized for limited browsers.
Features of Mobile OpenEMR include:
We believe that you own your own diabetes data. It’s your disease, so it’s your data. If you would like to donate your data to an anonymous database, we’ll make that easy. If you’d like to share data with your doctor, we’ll make that easy, too.
We believe that diabetes data should be easily accessible through a secure, modern platform that enables a vibrant ecosystem of applications.
We believe in great design, that mobile and web applications should be elegant, intuitive and easy to use. We believe that with the right context, data can be meaningful and actionable.
CyberUnits is a cross-platform class library for rapid programming of high-performance computer simulations in life sciences. It supports modelling for biomedical cybernetics and systems biology with Object Pascal, S and Matlab.
Usagi is a software tool created by the Observational Health Data Sciences and Informatics (OHDSI) team and is used to help in the process of mapping codes from a source system into the standard terminologies stored in the Observational Medical Outcomes Partnership (OMOP) Vocabulary (http://www.ohdsi.org/data-standardization/vocabulary-resources/).
ACHILLES is a platform which enables the characterization, quality assessment and visualization of observational health databases. ACHILLES provides users with an interactive, exploratory framework to assess patient demographics, the prevalence of conditions, drugs and procedures, and to evaluate the distribution of values for clinical observations.
ACHILLES is intended to be implemented by organizations that have patient-level observational health databases available in their local environment.
The main function of a terminology server is the computer-aided representation/expostulation of medical terminologies as well as offering services to access them (completely or partially) and attribute based code systems.
The terminology server of the University of Applied Sciences and Arts Dortmund is a composition of several web services and provides a terminology browser to display and maintain the content.
A collaboration environment supports the development of terminologies in a team. Moreover a command line tool to import Code Systems and Values Sets is included.
First open-source tobacco intervention, a fully-automated website built mainly using Java and open-source software. The content is based on widely accepted guidelines for tobacco and dependence treatment and scientific research.
This food and menu order system is specially designed for hospitals and similar institutions.