smart-fred v0.5.2
FRED - FHIR Resource Editor
What is FRED?
FRED is an open source web application that enables users to edit JSON FHIR resources and FHIR bundles. Built as an HTML5 app, FRED runs entirely within your web browser - no data is sent to a server. Note - the project is currently under active development. Code is rough, there are bugs and features may change or be removed!
Try it with...
DSTU2:
STU3:
Planned features
Please see roadmap.md
API
| Url Parameter | Value | Action |
|---|---|---|
| resource | Escaped url for FHIR resource on CORS enabled server (including open FHIR servers) | Launches with resource open. |
| profiles | Escaped url for summarized FHIR profiles (see building resource profiles below) on a CORS enabled server. Included are /profiles/dstu2.json (DSTU2) and /profiles/connect12.json (May 2016 connectathon) | Configures FRED to support for a particular version of FHIR. |
| remote | 0 or 1 | Supports controlling FRED from another web application (using postMessage) when set to 1 (demo). |
| warn | 0 or 1 | If set to 0, will suppress a warning when navigating away from the page. Useful when developing with auto-reloading. |
Tech
App:
Build:
Install FRED locally
Install NodeJs from https://nodejs.org
Clone this repository
git clone https://github.com/smart-on-fhir/fred cd fredInstall the dependencies
npm installRun the dev server
npm run devBrowse to
http://localhost:8080
Commands
| Action | Command |
|---|---|
| Start Dev Server | npm run dev |
| Build Static JS Bundle | npm run build |
| Run Tests | npm run test |
| Run Tests on Edit | npm run test-watch |
Building Resource Profiles
To reduce load time, FRED uses a simplified copy of the (>15mb!) JSON FHIR resource profiles. To convert the FHIR resource profiles into this format, ensure the desired profile bundles and valueset bundles are in the fhir_profiles subdirectory and run npm run build-profiles
About
FRED is a project of SMART Health IT, a joint effort of the not-for-profit institutions, Boston Children’s Hospital Computational Health Informatics Program and the Harvard Medical School Department for Biomedical Informatics.
To stay updated on the project follow @gotdan and @smarthealthit on twitter!