Excellent! Unfortunately I will miss your presentation. Can we get your slides? Even better, if your presentation is recorded that would be awesome.

Thanks,
David Booth

On 09/29/2015 05:38 PM, peter.hend...@kp.org wrote:
At KP, and working with Ian Horrock's group at Oxford, we have been
experimenting with their new RDF, Datalog, OWL-RL triple store called
"RDFox".

We have calculated the HEDIS Diabetes quality measure on a population of
over 400,000 patients real data.

We still have to compare our numerators and denominators to results
calculated with SQL and traditional DB tables.

I will be presenting a very simple version of this at HL7 at the AID
work group in Atlanta on Monday Q3.

I believe this is the first time a complex HEDIS quality measure has
been calculated with RDF, OWL and Datalog and SPARQL on a large
population of real patients.

I will not be presenting the complete complex HEDIS measure (which would
take days), but a smaller example to explain how it all works.

We used SNOMED subsumption to generate a small value set of SNOMED codes
that are "kinds of Diabetes".  Using that SNOMED VS, we found all the
patients who had a visit coded for Diabetes.  Then we searched all of
their HgBA1C values and then found the "last value".  We could then look
at the numerical results of the HgBA1C and find how many of them were
below 7% (good control).

In order to do this we had previously created an OWL ontology based on
Entities in Roles that Participate in Acts.  It is not the full HL7 V3
RIM, but only what was needed for this exercise.
This "KCOM" model is what we presented before at HL7 AID meetings.
This entire project would not have been possible to do without first
mapping the raw clinical data to this ERPA OWL backbone ontology.  All
of our queries were based on this ERPA (Entities in Roles Participating
in Acts).

RDFox is multi threaded and we were able to run the data materialization
on 8 threads on an 8 core machine with 64 Gig RAM.  It ran in only a few
hours and we have already found ways to speed it up further.

Hope to see you at HL7 Atlanta.





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