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Query Construction across Multiple Terminologies Dr Dai Evans PRIMIS.

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Presentation on theme: "Query Construction across Multiple Terminologies Dr Dai Evans PRIMIS."— Presentation transcript:

1 Query Construction across Multiple Terminologies Dr Dai Evans PRIMIS

2 Process V2, CTV3, EMIS drugs Avoid NHS browser ( V2 flaws) Use bespoke mapping tools integrated with browsers & query library management system Use Excel tables with additional metadata Biannual update processes with more frequent drug handling where important

3 Process V2* CTV3 EMIS drugs Specification – QoF, Research, Audit.... * Has to work as a minimum..

4 Problems CTV3 highlights terms missing from V2 specs. Missing maps Extinct terms in CTV3 Markedly different hierarchies – CTV3 not always better Contemplate differing contexts of terms.... i.e. Just “Diagnostic Terms” vs “all related terms” What do you do about Synonymous terms? MIQUEST brings in local codes

5 Wide range of requests H33% H44% H47y0 173c 173A H3120 (1780.)

6 CTV3 V2 Synonyms

7 Diab etes Q441 L1808 Diabetes Q441 L1808

8 Specification Problems Historic problem with Flu Reports v2CTV3 CVA/TIA A,B,CA,B,E,H Chr.Neurol D,E,FC,D,F,G Disease

9 Code Compilation Tools Accurate Mapping embedded Handle manipulation & display of complex hierarchies Handle inclusion/exclusion across multiple parents Bi-dimensional version control (new codes, hierarchy shifts, retirement; specification) SPEED

10 SNOMED querying Perceived huge breadth of codes ?Retired codes ?Post co-ordination Data entry advice/templates/facilitation Possible subset usage (1 st pass/2 nd pass) Constrained roll-out & implementation Extraction/Data entry can be pre- ordained in certain scenarios (e.g. QoF)


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