R4 Ballot #1 (Mixed Normative/Trial use)

This page is part of the FHIR Specification (v3.3.0: R4 Ballot 2). The current version which supercedes this version is 5.0.0. For a full list of available versions, see the Directory of published versions . Page versions: R5 R4B R4 R3

Operation-measure-data-requirements

Clinical Quality Information Work Group

Maturity Level: N/A

Ballot Status: Informative

Compartments: Not linked to any defined compartments

This is the narrative for the resource. See also the XML or JSON format.

Data Requirements

OPERATION: Data Requirements

The official URL for this operation definition is:

http://hl7.org/fhir/OperationDefinition/Measure-data-requirements

The data-requirements operation aggregates and returns the parameters and data requirements for the measure and all its dependencies as a single module definition

URL: [base]/Measure/[id]/$data-requirements

Parameters

Use

Name

Cardinality

Type

Binding

Documentation

IN

periodStart

1..1

date

The start of the measurement period. In keeping with the semantics of the date parameter used in the FHIR search operation, the period will start at the beginning of the period implied by the supplied timestamp. E.g. a value of 2014 would set the period start to be 2014-01-01T00:00:00 inclusive

IN

periodEnd

1..1

date

The end of the measurement period. The period will end at the end of the period implied by the supplied timestamp. E.g. a value of 2014 would set the period end to be 2014-12-31T23:59:59 inclusive

OUT

return

1..1

Library

The result of the requirements gathering is a module-definition Library that describes the aggregate parameters, data requirements, and dependencies of the measure

The effect of invoking this operation is to determine the aggregate set of data requirements and dependencies for the measure. The result is a Library resource with a type of module-definition that contains all the parameter definitions and data requirements of the libraries referenced by the measures. Implementations SHOULD aggregate data requirements intelligently (i.e. by collapsing overlapping data requirements)

Usage note: every effort has been made to ensure that the examples are correct and useful, but they are not a normative part of the specification.