Tip to read the figure: Click on the images, and there should be possible to zoom in by clicking on the + which appear in the low center of the image.
Vebjørn Fra: openEHR-clinical [mailto:[email protected]] På vegne av GF Sendt: 7. mars 2019 09:47 Til: For openEHR clinical discussions Kopi: Thomas Beale; For openEHR implementation discussions Emne: Re: Archetype modelling pattern for Physical examination findings Dear colleagues, I looked at the page url provided and have difficulty to inspect the figures because of a low resolution. I agree that a more patterned way is necessary in order to have EHR systems that have access to more uniformly defined data needed for processing. This requirement I call: Interpretability. When all kinds of Observations need to be expressed in a uniform way we need ideally: 1- We need uniform patterns for each possible observation and all the various ways in which observations are expressed 2- We need to cater for ways to express the metadata of Observations that are part of a meaningful list 3- We need to cater for ways to express the metadata of the observation, itself 4- We need to cater for ways to express the metadata around the data subject 5- We need to cater for ways to express the metadata of the treatment process of the topic 6- We need to cater for ways to express the metadata of the clinical process 7- We need to cater for ways to express the metadata of the documentation process 8- We need to cater for ways to express the metadata of all the contextual information ad1: e.g. quantitative-, semi-quantitative-, qualitative observations expressed using: numbers, text, codes, and many units of measurement, ad2: e.g. Blood pressure, Lab panels, … ad3: e.g. seeing, hearing, touching, smelling, tasting, … ad4: e.g. body position, before, during or after exercise, etc. ad5: e.g. reason for encounter, data collection/observation, history, examination, evaluation, planning, ordering, execution ad6: e.g. intake, investigation, treatment, referral, ad7: e.g. de novo recording of a fact, re-use of previously, recorded facts, clinical data, administrative data, preliminary data/unprocessed data, data admitted to the record ad8: e.g. localisations in time and space in absolute and relative terms In my way of thinking I start with the documentation process in the ENTRY with two CLUSTERS. One for the context data and one for the Panel. The Panel consists of a CLUSTER for each Panel component and one for the context of all. And then per Panel component two CLUSTERS: one for data and one for its context. Gerard Freriks +31 620 34 70 88 +31 182 22 59 46 [email protected]<mailto:[email protected]> Kattensingel 20 2801 CA Gouda the Netherlands On 7 Mar 2019, at 05:33, Heather Leslie <[email protected]<mailto:[email protected]>> wrote: Hi everyone, The CKM editors have been gradually refining our views on how to model Physical examination findings for many years now. There have been many hours wasted exploring options that have had dead ends. We’d like to prevent others having the same experience by sharing and publishing an agreed pattern and we feel that we have one ready for broader consumption. We clearly needed to find a solution that works from a modelling point of view ensuring that the clinically diverse requirements are catered for, as well as the needs of implementers for querying etc. I have developed a page on the wiki to try to explain our proposal and provide some examples - https://openehr.atlassian.net/wiki/spaces/healthmod/pages/380993560/Proposal+-+Physical+examination+findings+pattern Comments welcome, probably best if you add them to the wiki page, please. Regards Heather Dr Heather Leslie MB BS, FRACGP, FACHI, GAICD M +61 418 966 670 Skype: heatherleslie Twitter: @atomicainfo, @clinicalmodels & @omowizard www.atomicainformatics.com<x-msg://22/www.atomicainformatics.com> <image001.jpg> _______________________________________________ openEHR-clinical mailing list [email protected]<mailto:[email protected]> http://lists.openehr.org/mailman/listinfo/openehr-clinical_lists.openehr.org
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