What are your thoughts around snomed mappings for e.g. conditions in the screening archetypes?
We are using these archetypes to screen for specific conditions (e.g. diabetes mellitus) that relate to wound healing. It would be nice to do term bindings in the template and to record mappings in the data.
But we found it to risky in the end. Since mapping to the Diabetes Mellitus (disorder), other parties we integrate with, could (rightly) assume the default snomed context applies. And conclude the patient has an active diagnosis of DM, which is not the context of the screening. The context of the screening is a woundcare specialised nurse asks (or reviews the record) to screen for potential DM. And relevance to woundcare treatment is the most relevant decision criterium. This is not the same as a qualified persoon (MD) recording an active diagnosis and assuming it is is a clinical safety risk. Itâs even worse for recording negative screening for diagnosis: ânurse: are you diabetic? patient: not that I know offâ leading to a diagnosis of no diabetes. This is not the same as a test that âdefinitivelyâ proves absence of diabetes interpreted by a qualified and licensed clinician. And will lead to wrong clinical decision support recommendations.
The âhistory of DMâ snomed code is a better match. But even this has a temporal attribute of âin the pastâ which I find confusing: it strictly says the disorder occurred in the past implying itâs not present anymore, but since DM is a chronic condition that rarely disappears, the practical implication could be the diagnosis was made in the past, but the problem is still present. But how to interpret:
Finding context â Known present
In the end we removed all term bindings from the template. But it is a pity though. Ideally Iâd like to see the default context deprecated from SNOMED and leave contexts to the information model like openEHR. But maybe others have better ideas?
P.s. should we warn users in the misuse section of the screening archetypes against mapping snomed disorders and similar?
Iâm especially curious for the thought of @mikael (a)