LibreHealth is a free and open source EHR ( Electronic Health Records ) software, It's clinically focused on the patient workflow for clinics and hospitals. Its also built to be developer friendly with very powerful API which is released under the title " LibreHealth Toolkit".
LibreHealth original started as a fork of OpenEMR ( Open source EMR ) , and evolved to be standalone project with new tools and child projects. So be aware " LibreHealth and OpenEMR are separate projects) .
LibreRadiology : LibreHealth community released custom version of LibreHealth EHR for managing Radiology workflow in Radilogy centres/ units within the hospital structure. It extends the LibreHealth Toolkit API to process, transfer and view DICOM imaging using Open source DICOM viewers, and create radiology report. Though LibreRadiology RIS is currently is in active development, It's available on gitlab repository as well with building, configuration and installation instructions - src.
How to install LibreHealth? - Requirements
LibreHealth is developed with PHP and uses MySQL as Database, Anyone with basic PHP developing experience can install it, It can be installed easily on Linux , Windows or MacOSX. The easiest way to install LibreHealth especially for Mac OSX and Windows is to use XAMPP or ( MAMP for Mac OSX/ WAMP for Windows ), which will provide you with Apache, PHP and MySQL plus other tools for server and database configurations. If you are a developer, and know you way around Docker there are several Docker Images. LibreHealth community provided detailed instruction, documentation of how to install, configure LibreHealth.
LibreHealth Organization/ Community.
LibreHealth core team, has long years of experience with other open source healthcare related communities and projects. LibreHealth community itself function s as an organisational Umbrella to create, share and collaborate on multiple healthcare projects. It's also open for users, developers to contribute with transparency for planning, discussions, designs, and development process.
A physician with programming skills, Linux user since late 1990s, Open source supporter . Doing coding with Python, NodeJS (Meteor, VueJS, Express, D3, PhantomJS), SmallTalk & R language.