MyHealth@Eu NCPeH API
0.0.1 - ci-build 150

MyHealth@Eu NCPeH API - Local Development build (v0.0.1) built by the FHIR (HL7® FHIR® Standard) Build Tools. See the Directory of published versions

Study Retrieval

This page describes the implementation options of the Study Retrieval task.

Further investigations are needed, taking in consideration the results of some on-going standardizaton activities and the feedback colelcted by the early adopters.</a>

Business View

The overall business scenarios associated to this task is described in the Business view page

Application View

The implementation-independent sequence diagrams associated to this task is described in the in the Application view page

Implementation pre-requisites

The Myhealth@EU general architecture requires that no assumptions are made on the way the service is implemented at the national level.

This implies that any solution adopted for the NCPeH to NCPeH communications has to work properly indipendently by the fact that a HL7 FHIR server, a DICOM sever, an XDS registry/repository or any other solution locally adopted.

Implementation alternatives

There are multiple alternatives, not mutually exclusive, for searching, retrieving, or fetching Imaging Study Information.

For example, one option is to treat the Imaging Study Information as a document and apply the same search/fetch approach described for the Document Retrieval. See the Document Retrieval page for details.

In this case there are different ways to document the Study Information, using:

  1. a DICOM Key Object Selection Document
  2. Using a HL7 FHIR Bundle conveying an HL7 FHIR ImagingStudy, that describes the DICOM Study.

The advantage of this approach consist in the usage of a common retrieval mechanism that doesn't depend on the type of document retrieved or by its format. This approach is suitable for simple search mechanisms and requires that a DocumentReference instance is generated for each created document.

Some alternatives - described only for documentation purposes in this version of this guide - are listed below:

  1. Querying directly using HL7 FHIR ImagingStudy, which allows for more flexible and lightweight queries.
  2. use the DICOM QIDO-RS Query as defined in the IHE Web-based Image Access (WIA) RAD-129.

In this first version the Imaging Study Retrieval will be realized by searching per DocumentReference

The following tags are of interest to be retrieved from the DICOM KOS metadata file, when used:

Tag Name Description
(0020,000D) Study Instance UID Unique identifier for the Study
(0020,000E) Series Instance UID Unique identifier of the Series
(0008,1155) Instance UID Uniquely identifies the SOP Instance

Alternative solutions or additional capabilities can be added in the future based on the inputs collected during the first pre-operation stages.

Implementation

For the implementation details please refer to the Document Retrieval page