# How to transfer as much clinical complexity as possible to clinical terminologies

**URL:** https://discourse.openehr.org/t/how-to-transfer-as-much-clinical-complexity-as-possible-to-clinical-terminologies/5668
**Category:** Clinically Relevant RM Discussions
**Tags:** terminology
**Created:** [6 September 2024 05:58 UTC](https://discourse.openehr.org/t/how-to-transfer-as-much-clinical-complexity-as-possible-to-clinical-terminologies/5668 "2024-09-06T05:58:46Z")
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### Author: ![linforest](https://discourse.openehr.org/letter_avatar_proxy/v4/letter/l/ac8455/32.png) [@linforest](https://discourse.openehr.org/u/linforest)
#### Post date: [7 September 2024 02:00 UTC](https://discourse.openehr.org/t/how-to-transfer-as-much-clinical-complexity-as-possible-to-clinical-terminologies/5668/4 "2024-09-07T02:00:05Z")

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Consider the representation of anthe daily personal running session data that is used as an example scenario for my recent template design exercises. In the international CKM, the existing published/active Archetypes are apparently not covering my model requirements. Most usable data points related to running come from an experimental project’s [proposals](https://github.com/regionostergotland/Physical_activity/tree/master/proposals/2019-07-12_clst). See @erik.sundvall’s [topic on Physical activity data modeling project](https://discourse.openehr.org/t/physical-activity-archetypes-exercise-steps-etc-from-apps-devices/983) for details.

But if HL7 FHIR is used, maybe it would be easier although this is just my imagination for now. For example, FHIR resources such as Composition and Obsevation, and a local observation terminology similiar to LOINC could be used to author the instances.

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