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US-Core Track

US Core profiles support the ONC 2015 Common Clinical Data Set (CCDS) using the Argonaut provided constraints. This track is an extension of the Argonaut efforts to test and record progress against the formal US-Core profiles.

This track is based on FHIR STU3 ballot, US-Core STU2.

Coordinated with other related Connectathon tracks

Medication Track

Submitting WG/Project/Implementer Group

DAF Profiles Project

Justification

API access to the 2015 CCDS is required for EHR certification. In prior Connectathons, the DAF project team hosted a track to test the content profiles and a few basic queries.

This track will focus on testing Client and Servers coverage on the recommended queries.

US-Core Connectathon Priority Profiles:

AllergyIntolerance, Assessment and Plan of Treatment, CareTeam, Condition, Device-UDI, Goal, Immunization, Lab DiagnosticReport, Lab Observation, Observation-Smokingstatus, Observation-Vitalsigns, Patient, Practitioner, Procedure

Current draft of US-Core STU3 Profiles

US-Core formalized conformance:

Background on original Argonaut use cases:

Proposed Track Lead

Coordinator: Nagesth Bahsyam (Dragon), Brett Marquard, Eric Haas

Track Lead: Nagesth Bahsyam (Dragon)

Expected participants

Please sign up!

FHIR Connectathon Participants

For Attestation and Tracking, please update Attestation Tracker

Roles

(reproduced from Argonaut Project implementation-program Resprint)

Server/EHR

If you're working on a server, please complete the "servers" tab of the Sprints Spreadsheet (see above). You'll need to update the status flag to indicate whether you've begun work (or completed work), so clients will know when to start testing. You'll also share details about how a developer can obtain OAuth client credentials (client_id for public apps, or a client_id and client_secret for confidential apps) as well as **user login credentials. The preferred approach is to direct users to a web page where they can complete self-service registration. (If absolutely necessary, you can ask developers to e-mail you directly.) Work on your OAuth implementation

The expectation is that servers will follow Argonaut’s best-practice approach by implementing the OAuth2-based SMART on FHIR authorization specification. To make this more approachable for new implementers, you can think about handling security in four parts:

open server. Before you get OAuth working, and even once you have an OAuth-secured server, it can be helpful to host sample data at a totally unprotected https endpoint. This facilitates testing, debugging, and exploration
Standalone launch. Following SMART’s “standalone launch” flow means that the user (patient, or clinician) can begin by launching an app, and from there can engage in a “connect to my EHR” workflow. This approach is suitable for MU3 patient API access.
EHR launch. Following SMART’s “EHR launch” flow means that the user (patient, or clinician) can begin from the EHR or potal, and launch an app from there, ensuring that the app learns the context about the surrounding EHR or portal environment. This approach is suitable for embedding apps in an EHR or portal.
Single Sign-on. Using the OAuth2-based OpenID Connect framework for single sign-on, your authorization server can “vouch for” a user’s identity. This helps ensure that users don’t need to create a new account, with new credentials, for every app they use. This approach to SSO can be used with either of SMART’s launch flows.

Client

If you're working on a client, please complete the "clients" tab of the Sprints Spreadsheet (see above) . You'll also need to update the status flag to indicate whether you've begun work (or completed work).

Scenarios

Dedicated Zulip chat stream for this Track.

1. Patient search

Action: A client searches the patient Service for patients

Precondition: Patients with the search criteria have been created

Success Criteria: a client is able to execute and receive a response for each of the following queries:

 GET [base]/Patient/[id]
 GET [base]/Patient?identifier=[system]|[code]
 GET [base]/Patient?name=[string]&gender=[code]
 GET [base]/Patient?name=[string]&birthdate=[date]
 GET [base]/Patient?family=[string]&gender=[code]
 GET [base]/Patient?given=[string]&gender=[code]