This page is part of the HL7 Version 2 to FHIR (v0.1.0: STU 1 Ballot 1) based on FHIR R4. . For a full list of available versions, see the Directory of published versions

Validation

The V2 to FHIR Mapping project is developing a transform validator. This note describes what it does and how it can be used.

To validate a transform means: to check that it is correct, and to note any discrepancies between its inputs and its outputs.  ‘correct’ means: ‘the output of the transform is consistent with a set of V2 to FHIR mappings’. These can either be the ‘canonical’ mapping tables produced by the V2-to-FHIR mapping project, or some local variants of those tables (e.g. mappings from UK V2 to UK FHIR profiles). Validation is a semantic check of the output of a transform against the input of that transform – i.e., it checks that each data value in the FHIR output is derived correctly from the V2 input (or vice versa, for a FHIR to V2 transform).

The transform validator can be made available free to any  user as a deliverable from the mapping project, and transform validation could be provided as a service from any FHIR server – typically using local variants of the mapping tables, to reflect local usage of HL7 V2 and FHIR.

Use Cases

Three use cases of transform validation are described here:

• Validating a Direct Transform (by an integration engine or transform engine):

Here, someone already has a V2-FHIR transform – provided by an integration engine or transform software – and they need to check that it operates correctly. For a small test set of V2 input messages, they use their transform engine to produce the FHIR outputs, and they submit the transform pairs (V2 message + FHIR bundle) to the validator. It notes any errors and gaps it finds in the FHIR outputs. This is shown below:

NEED TO INCLUDE FIRST DIAGRAM

• Validating an Indirect transform (by a healthcare application):

Many healthcare applications receive data as V2 messages, store the information internally (e.g. in a relational database), and later produce FHIR outputs. This is an indirect transform – and its correctness can be checked in the same way as a direct transform can be checked.

NEED TO INCLUDE SECOND DIAGRAM

• Cross-checking healthcare data across an organisation:

A typical hospital or cluster of healthcare providers has many V2 messages in circulation. Increasingly, it also has FHIR bundles and resources. Both V2 and FHIR will be in widespread use for the foreseeable future, and there is a risk that separate V2 and FHIR worlds will be out of step – and even if they only differ in a few details, this matters. There is a need to check that some set of FHIR bundles and resources (e.g. from a FHIR server) is semantically consistent with a set of V2 messages. This may not be just a set of individual validations of (V2, FHIR) pairs, but may also involve data quality techniques such as record matching, and summary reporting across sets of records. Still the underlying cross-check of a V2 message against a FHIR bundle or resource is required, and the validator will do this.

NEED TO INCLUDE THIRD DIAGRAM

Current Status and Intentions

A prototype of the validator is working. Its inputs are:

• A set of V2-FHIR mapping tables – typically with one message level mapping table, with segment-level mapping tables for all the segments in the message, data type mapping tables, and code value mapping tables
• One or more pairs, of a V2 message and the FHIR bundle produced from it by a transform

The mapping tables are csv files, derived from the Google sheets in which the V2-FHIR mapping project is making mappings. In future the validator will read mapping tables as ConceptMap resources.

The validator operations and outputs are:

• First it checks the mapping tables, noting any ways in which they are syntactically or otherwise invalid – giving a table of warning messages about the mappings
• Then for each V2-FHIR pair, it checks that the FHIR output bundle is what should be produced by a transform from the V2 input. This includes checking each data value in the bundle (against a value in the V2 message, or against an expected fixed value, or code conversion), and checking that no data values are missing from the bundle. In future, resource references will be checked. Discrepancies are noted in an output table.

Typical entries in the table of warnings about problems in the mappings are:

INSERT FIRST TABLE

It is best to resolve the mapping issues before validating transform pairs.

Typical entries in the table of discrepancies in a transform result are:

INSERT SECOND TABLE

When the validator is operating as a service on a FHIR server, all its inputs and outputs should be FHIR resources. This will require some way to wrap a V2 message in a FHIR resource (in a Basic or Binary resource?), and the validator result tables may be profiled OperationOutcome resources. It may also be useful to be able to specify (in a Parameters resource?) what kinds of validation output are required – e.g. what fields in the FHIR outputs need to be checked; or to combine validation of the transform with validation of the transform output FHIR against profiles.

Outlook

A transform validator can be an important deliverable of the V2-FHIR mapping project, to be provided free by HL7, and enabling worldwide users of HL7 V2 and FHIR to check that V2 messages and FHIR resources are correctly related to one another. This service would not compete with the offerings of integration engine suppliers or suppliers of transform services. It will be of interest to healthcare providers, and to national and regional healthcare authorities, to help them ensure the data quality of their applications.

Any regional healthcare authority may wish to use the mapping tables developed by the V2-to-FHIR mapping project, to develop local variant mapping tables which reflect the ways in which V2 and FHIR are used  in their region (local profiles and usages), and then to offer a local validation service using those mapping tables. Suppliers of transform services may wish to use the validator to test and demonstrate the quality of their offerings.

If the transform validator is used in this way, then feedback from its local deployments will help to refine and improve the centrally-developed mapping tables.

Improved healthcare data quality reduces costs and improves patient care. An important part of data quality is consistency between v2 data and FHIR data.  Since HL7 is the source of these two widely-used standards, HL7 has the opportunity (and perhaps an obligation) to help organisations use them together consistently and effectively. A V2-FHIR transform validator will help meet this need – providing a valuable service to healthcare providers worldwide.

Providing a strong cross-check between HL7 V2 and FHIR – where they overlap – will go a long way to make them a coherent and unified offering, helping to unify HL7’s product set. Over time, similar cross-checks could be provided for CDA and for OpenEHR.