Thanks Ian, The requirement for me is to have an idea about the archetype based representation of the information contained in this dataset. I can simply create a dummy archetype with simple datatypes, but that would not be a representative of an archetype based system that would be managing this information. In short, I wanted to observe related archetypes in their natural environment :) Archetype based data is going to become input for my research at one point, and I want to make that input as close to real life as possible.
Best Regards Seref On Thu, Feb 17, 2011 at 4:43 PM, Ian McNicoll <Ian.McNicoll at oceaninformatics.com> wrote: > Hi Seref, > > What you have here is a classic example of questionnaire-based data > collection, which made sense in a paper-base world but is totally > out-of-whack if one is trying to retreive/pre-populate the data from > an EHR. It is exactly the issues we discussed about DV_BOOLEAN vs. > DV_CODED_TEXT > > > If you take the first example > > on thyroxine: ? ? ? ? ? ? ? ? ? f, t. > > EHR:: Query on ACTION.medication + Drug term > > query on thyroxine: ? ? ? ? ? ? f, t. > > on antithyroid medication: ? ? ?f, t. > EHR:: Query on ACTION.medication > > sick: ? ? ? ? ? ? ? ? ? ? ? ? ? f, t. > Tricky !! Can only be recorded by the human investigator > > pregnant: ? ? ? ? ? ? ? ? ? ? ? f, t. > Tricky !! Can only be recorded by the human investigator . Notoriously > tricky to keep track of a patient's pregnancy state > > thyroid surgery: ? ? ? ? ? ? ? ?f, t. > > Query on ACTION.procedure + Snomed term > > I131 treatment: ? ? ? ? ? ? ? ? f, t. > Query on ACTION.procedure + Snomed term > > query hypothyroid: ? ? ? ? ? ? ?f, t. > Query on EVALUATION.problem + Snomed term > > query hyperthyroid: ? ? ? ? ? ? f, t. > Query on EVALUATION.problem + Snomed term > > lithium: ? ? ? ? ? ? ? ? ? ? ? ?f, t. > Query on EVALUATION.problem + Snomed term > > goitre: ? ? ? ? ? ? ? ? ? ? ? ? f, t. > Query on EVALUATION.problem + Snomed term > > tumor: ? ? ? ? ? ? ? ? ? ? ? ? ?f, t. > Query on EVALUATION.problem + Snomed term > > hypopituitary: ? ? ? ? ? ? ? ? ?f, t. > Query on EVALUATION.problem + Snomed term > > psych: ? ? ? ? ? ? ? ? ? ? ? ? ?f, t. > Query on EVALUATION.problem + Snomed term > > TSH measured: ? ? ? ? ? ? ? ? ? f, t. > TSH: ? ? ? ? ? ? ? ? ? ? ? ? ? ?continuous. > T3 measured: ? ? ? ? ? ? ? ? ? ?f, t. > T3: ? ? ? ? ? ? ? ? ? ? ? ? ? ? continuous. > TT4 measured: ? ? ? ? ? ? ? ? ? f, t. > TT4: ? ? ? ? ? ? ? ? ? ? ? ? ? ?continuous. > T4U measured: ? ? ? ? ? ? ? ? ? f, t. > T4U: ? ? ? ? ? ? ? ? ? ? ? ? ? ?continuous. > FTI measured: ? ? ? ? ? ? ? ? ? f, t. > FTI: ? ? ? ? ? ? ? ? ? ? ? ? ? ?continuous. > > TBG measured: ? ? ? ? ? ? ? ? ? f, t. > TBG: ? ? ? ? ? ? ? ? ? ? ? ? ? ?continuous. > > Queries on OBSERVATION.lab_test.v1 and ? LOINC/SNOMED terms > > > Realistically though you will probably have to re-create the Y/N > questionaire!! > > What is the overall requirement? > > Ian > > Dr Ian McNicoll > office +44 (0)1536 414994 > fax +44 (0)1536 516317 > mobile +44 (0)775 209 7859 > skype ianmcnicoll > ian.mcnicoll at oceaninformatics.com > > Clinical analyst,?Ocean Informatics, UK > openEHR Clinical Knowledge Editor www.openehr.org/knowledge > Honorary Senior Research Associate, CHIME, UCL > BCS Primary Health Care ?www.phcsg.org > > > > > On 17 February 2011 15:18, Seref Arikan > <serefarikan at kurumsalteknoloji.com> wrote: >> Dear all, >> In the context of my PhD work at UCL, I'll be needing some archetypes >> to model the clinical data which I'll be using. If by any chance. I >> can get my hands on some existing archetypes which are likely to >> contain the domain information that I'm working on, that'd help a lot. >> At the moment I'm working on some thyroid data, and in worst case I'll >> be creating a dummy archetype which would probably be a nightmare from >> an experience modeller's point of view. >> So if you know any existing archetypes (maybe in CKM?) which may be >> relevant for the type of data I'm working on, it would be great to >> hear about them. The following links point to descriptions of data >> sets, which would provide an overview of the type of clinical data I'm >> using at the moment. >> >> http://archive.ics.uci.edu/ml/machine-learning-databases/thyroid-disease/allhypo.names >> http://archive.ics.uci.edu/ml/machine-learning-databases/thyroid-disease/thyroid0387.names >> http://archive.ics.uci.edu/ml/machine-learning-databases/thyroid-disease/new-thyroid.names >> http://archive.ics.uci.edu/ml/machine-learning-databases/thyroid-disease/allrep.names >> >> I'm likely to repeat this question based on other clinical data, but >> for the moment I have not given up on using this data set. >> >> Best Regards >> Seref Arikan >> _______________________________________________ >> openEHR-clinical mailing list >> openEHR-clinical at openehr.org >> http://lists.chime.ucl.ac.uk/mailman/listinfo/openehr-clinical >> >
