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Defining use case and purpose

The method for creating a map, along with the rules and processes associated with it, is tightly bound to the map's purpose, use case, and requirements.

It is important that the map's use case and purpose are well-defined prior to beginning map development and clearly documented for reference during development and for implementations. The map's use case and purpose have flow-on effects throughout its lifecycle.

When thinking about this, consider:

  • what is the main purpose of this map?

  • who is the intended audience?

  • what is the scope of content (source and target)?

  • who is responsible for developing and maintaining the map?

  • how will the map be implemented?

  • A map must have a defined and specific purpose

  • Provides context to the map

  • Influences decisions/rules made when mapping and how to map when there is discrepancies between the source and target code systems

Use case and purpose

Example: the purpose of this map is to link Emergency Department SNOMED CT principal diagnosis codes to the Emergency Department National Minimum Data Set for funding.

Beware when reusing maps or repurposing mapped data, as even if the source and target code systems appear the same and the healthcare setting is the same, the purpose (and hence the rules used to build the map) may differ, leading to unexpected and/or unwanted results!

Examples include:

  • coding for a clinical purpose vs a financial/funding purpose

  • two different funding maps

Example use cases, purposes, and considerations

Interoperability

Retrospective maps for backwards compatibility when migrating a legacy code system to a national standard code system:

  • for historical data

  • to define code systems for use based on existing legacy code systems

Considerations

What data do you need to map?

  • Only codes/terms that exist within the historical data collection

Prospective maps for continuing use to transform codes from a local code system to a national standard code system.

Integration

Maps to allow comparison of different code sets by converting codes to a single code set: the collection of data sets from different implementations of the same system that use different terminologies.

Considerations

Which code system is your target code system?

What will get the best results?

Are the code systems compatible?

Categorising or reporting

Maps for assigning codes to higher-level groups for

  • reporting - KPIs, priority health areas

  • funding – billing, access, service planning

  • cohort identification, research, analytics – epidemiology, surveillance

  • safety/efficacy audits

  • workflow or CDS – linking a patient journey

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Maintenance
  • Is this a single-use/snapshot map?

  • how different (content, structure, semantics) are the code systems, and can you get a sensible map?

  • what rules and conventions need to be applied to get the best match?

  • Considerations

    What data do you need to map?

    • All valid codes from the source code system, as you cannot predict what is required by users

    Maintenance

    • Continuing use means continuous maintenance is required

    • Consider how dynamic these code systems are to understand the maintenance burden/costs

    • Is there an option to migrate in the longer term to phase out the maintenance burden?

    Considerations

    Rules of the map

    • Mutual exclusivity (can one source code map to more than one target code?)

    • Does every source code require at least one map?

    Maintenance

    • Consider how dynamic these code systems are to understand the maintenance burden/costs

    Who needs to carry the maintenance burden? Is the implementer of the local code system or a national body?