[Fwd: GELLO, archetypes and SNOMED-CT]

[Peter Scott <prscott@iinet.net.au>]

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• To: openehr-decisionsupport@openehr.org, andrew McIntyre <andrew@Medical-Objects.com.au>
• Subject: GELLO, archetypes and SNOMED-CT
• From: Peter Scott <prscott@iinet.net.au>
• Date: Mon, 06 Apr 2009 19:27:57 +1000

Dear CDSSer

I am a newbie on this list but have followed and worked with archetypes for a little while now. I would like to talk about the strongly typed, OO, declarative CDS language called GELLO. This is a HL7 standrd that wasn't really ever implemented. OpenClinical gives a fair treatment. Our group (Medical Objects) has implemented it after some work on resolving ambiguities in the BNF and the development of various editors and interpreters such as a GELLO v.1 editor/ interpreter; an ADL editor (that saves to ADL 1.2, basic xhtml and en13606), a GLIF editor, an existing Snomed- CT server of ours and a virtual medical record (vMR) layer.

see diagram attached

We use GELLO almost as a scripting language to calculate values on nodes, to initialise values, to allow node visibility to preserve screen real estate and to calculate reference ranges and autocoments for pathology systems. It is useful for querying (and processing) data retrieved from EN13606 archetypes which we have persisted in HL7 v2 and abstracted to a simple vMR. An example of this would be in a full blood count (or CBC) lab archetype where many elements of type quantity/physical quantity are derived from other values.Indeed we retrieve patient deomgraphic data from the PMS for things like age and gender in invariant calculations.We propose functionality in the GELLO class hierachy for SCT validation and implies methods, as well as general property retrieval on Snomed Descriptor calasses which are a type of Coded Value.

A pathology system built on this technology is real, implemented and used every day by an Australian pathology lab.IT uses about 40 la archetypes which I would like to contribute in openEHR ADL 1.4 form to the CKM. I just don't know how to do the existing functionality with AQL.

You may have noticed GLIF earlier - this higher level guideline vehicle uses GELLO and archetypes for an Australian Govt funded demonstration projects around the management of lymphoma, a complex use case again.

happy to discuss further.

Best regards


Peter Scott
GP and health informatician

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