This wiki has undergone a migration to Confluence found Here
<meta name="googlebot" content="noindex">

Difference between revisions of "201801 Encounter"

From HL7Wiki
Jump to navigation Jump to search
 
(One intermediate revision by the same user not shown)
Line 19: Line 19:
 
[https://sqlonfhir-stu3.azurewebsites.net/fhir/Patient/example/$extract?expression=descendants().commonpathname()|meta.profile example property usage]
 
[https://sqlonfhir-stu3.azurewebsites.net/fhir/Patient/example/$extract?expression=descendants().commonpathname()|meta.profile example property usage]
  
 +
We expect that the real effort for participants in this track will be in getting the spread of different encounter types (that contain the various different properties - e.g. Hospitalization, Inpatient, outpatient, emergency, general practice, community ...)
  
  
Line 69: Line 70:
 
I am happy to help: JohnMoehrke@gmail.com -- security co-chair
 
I am happy to help: JohnMoehrke@gmail.com -- security co-chair
 
-->
 
-->
 +
As we would like to get details on data that is as real as possible, a downloadable tool (from GitHub) may be provided to run on your own internal data, and report the results.

Latest revision as of 20:26, 1 November 2017


Encounter

Submitting WG/Project/Implementer Group

Patient Administration

Justification

The Encounter resource has been around for quite a while now, and we would like to get some real implementer feedback on the readiness of the resource is to move up the FMM levels.

Of particular interest is the part of and history parts of the Encounter resource, and if some are able to, the linkage from the Appointment resource.

Given the slow uptake or exposure of this resource, we're considering a different style of connectathon here. We're looking for example resources from as far and wide from everyone's systems (even better if you've got the API for us to read them all!) The result of the connectathon we'd like to report a list of the systems, and the properties that they've used. A kind-of resource property coverage matrix.

Essentially planning to statistically compare example property usage

We expect that the real effort for participants in this track will be in getting the spread of different encounter types (that contain the various different properties - e.g. Hospitalization, Inpatient, outpatient, emergency, general practice, community ...)


Proposed Track Lead

Brian Postlethwaite (skype: sgtshultzpos email: brian_pos at hotmail dot com) See Connectathon_Track_Lead_Responsibilities

Expected participants

  • Telstra Health
  • Epic (Cooper)
  • Cerner

Roles

Encounter Server

The Encounter server just needs to be a FHIR server that will respond to either the search or history operation and provide a set of resources

Statistics Counter

This will be a client app that simple interrogates the Encounter resources provided, and collates an aggregate of the usage of values in a server (data generated by Synthia, Crucible or touchstone should be excluded) Output could be in the form of a TestReport resource

Brian from Telstra Health plans to provide a simple one of these, based on the data format found in the link in the justification section.

Scenarios

Expose your encounter server (or resources) for testing

Scenario Step 1 Name

Action: Tester uses a Statistics Counter to connect to the FHIR server
Precondition: The server must have Encounter resources available
Success Criteria: The Counter is able to retrieve the resources and report the property usage results
Bonus point: SMART Authentication was used to access the data


TestScript(s)

There will be no fixed test scripts as this is a quantitative test to verify the resource usage, rather than an implementations conformance

Security and Privacy Considerations

As we would like to get details on data that is as real as possible, a downloadable tool (from GitHub) may be provided to run on your own internal data, and report the results.