Transcript Diapositiva 1

Tentative mapping OGMS OpenEHR
processual_entity
representation
clinical finding
clinical history taking
clinical history
OBS.story
image finding
OBS.imaging
clinical picture
laboratory finding
CLU. specimen
OBS.lab_test
preclinical finding
diagnosis
OBS.story
Laboratory CLU.specimen_preparation
test
OBS.lab_test
physical examination
CLU.exam
CLU.inspection
bodily feature of a patient
sign
EVAL.diagnosis
vital sign
EVAL.problem
SEC.vital_signs
CLU.symptom
symptom
CLU.symptom_pain
CLU.issue
CLU.event
OGMS integration approaches
1.Defining
OGMS OGMS
-aAM
2.3.Including
new
mappings
(ambiguity,
terms
AM
as RM
layer
classes
incompleteness)
RM
AM
Pulse
Disease core
AM
Particular
archetypes
Blood Pressure
OGMS OpenEHR
Medication order
Body Temperature
Pregnancy
Translation from ADL to OWL
archetype definition
Observation
Event Series
Event_T
Norton scale
Item List
Event Series
Element
Status
transition
List
General Physical
Status
Ontology bindings
The term_binding section stores
bindings between a particular term
within the archetype and an
equivalent concept in an ontology
Equivalence relations
Blood Pressure Arquetype
Physiology ontology
By linking the classes through a
Necesary & Suficient condition we
allow a reasoner to check data
correctness and data coherence
while preserves the ontology
modularity during its exploitation.
Enriched archetypes
The Systolic pressure
concept, defined in the
archetype, is enriched
with properties and
attributes from the
equivalent class within
the Physiology
ontology
Workflow
(Translation+ Mapping + Inference)
SNOMED
Reference
Model
ADL
Archetype
Inference
1
3
Archetype
Ontologizer
2
pat.
data
risk
data
data_norton_20080314.mdb
data_norton_20080314_result.mdb
Instance
Mapper
Currently a module within the
OpenEHR Java Reference Implementation Project
Conclusions

The Archetype Model should be improved in order to
prevent concept overlapping.

Existing archetypes cover several concepts of the OGMS
ontology, although some ambiguities have been revealed.

Three mapping approaches were presented for the
integration of the OGMS ontology :


AM – OGMS, direct mapping.

Definition of the OGMS as a part of the Reference Model

Creation of a Disease layer between the RM and the AM
The translation from ADL to OWL offers several advantages
for reusability, coherence checks and navigability between
archetypes and clinical ontologies.