Code Monkey home page Code Monkey logo

finnish-smart's Introduction

Finnish Implementation Guide for SMART App Launch

This repo contains the source code for the Finnish implementation guide for SMART App Launch.

The implementation guide is being created in a project driven by HL7 Finland. See the announcement, the running memo, and some more details.

Published Snapshot

On build.fhir.org

The results of each commit to this repository are published automatically at the build.fhir.org infrastructure. You can select a built snapshot from the list of branches. For instance, the latest commit to the master branch is published at https://build.fhir.org/ig/fhir-fi/finnish-smart/branches/master.

You can also browse the list of all IG builds.

Similarly the debug info related to the build can be found with the branch name. The build log of the latest commit to the master branch is at https://build.fhir.org/ig/fhir-fi/finnish-smart/branches/master/build.log.

You can also track the build info at the committers/notification channel on the chat.fhir.org Zulip forum.

On fhir.fi

The results of the latest commit to the master branch are also published in fhir.fi/finnish-base-profiles/.

On hl7.fi

The official publishing location of the implementation guide is at hl7.fi/fhir/finnish-base-profiles/.

Occasionally snapshots are also published there. The published versions are listed on the Version History page.

Companion Specifications

See also the repo for Finnish Base FHIR Profiles.

finnish-smart's People

Contributors

fhir-fi avatar marvasuo avatar mikajylha avatar mrinnetmaki avatar

Stargazers

 avatar

Watchers

 avatar  avatar  avatar

Forkers

hl7dk

finnish-smart's Issues

Finnish SMART profile isn't needed

Josh Priebe from Epic here ([email protected]). I work with Apotti and with our Epic standards group.

Related to this section of the guide:

Why Do We Need to Profile the SMART Specification?
The SMART App Launch specification is already a globally applicable specification. The International Patient Access specification adds some more constraints and details to it. Do we really need something more?
We have found out that there are still some places in both of these specifications that allow some implementation feedom but may be tricky for app developers to support. In this implementation guide, we aim to provide clarity on topics like how an app best learns the organization or organization unit the practitioner launching the app works for (when launching the app).
We believe we can get some of these details sorted out more efficiently in the local Finnish context. We still aim to feed our learnings and developments with the wider SMART community and help get parts of them adopted to the SMART and IPA specifications.

After review, the view of Epic is there isn't enough difference to the Finnish local context here to warrant an entirely new FHIR specification for Finnish SMART. The requirements seem duplicative to the base FHIR and SMART requirements. Further drift from global standards will make support harder for global actors.

Rather, we recommend HL7.FI group should continue being an author and contributor to the global specifications being created.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.