First draft of demo scenarios is attached with this e-mail.
---Vipul
<<Demo Scenarios.txt>>
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DEMONSTRATION SCENARIOS
========================
Scenario 1: Healthcare Data Sets with Multiple Vocabularies
-----------
A Clinical Trial Investigator (CTI) wants to recruit patients for a clinical
trial. He or she has accesss
to patient data sets from the EMR Systems of multiple healthcare providers. The
CTI needs to use concepts from
standardized vocabularies to represent medication knowledge for specifying
eligibility criteria. For instance,
we can use concepts from the Drug Ontology, RxNorm or NDC that might be used to
represent medication knowledge.
Let's assume the existence of two data sets, DataSet1 which uses RxNorm codes
to represent medications and
DataSet2 which uses NDC codes for the same. The basic steps of this demo can be
as follows:
(A) The CTI specifies a query based on the drug ontology to capture eligibility
requirements related to
medication knowledge.
(B) The queries contain concepts from the Drug Ontology
(C) The query is executed against the system and no patients are identified
(D) The CTI then loads semantic mappings from Drug Ontology Classes RxNorm into
the system and the query is executed again
(E) Some patients are now identified from DataSet1, but the CTI would like to
see more patients.
(F) The CTI then loads semantic mappings from RxNorm to NDC into the system and
the query is executed again.
(G) Some patients are now identified from DataSet1
Scenarion 2: Searching based on Medication Classes
------------
As in Scenarion 1 above, the CTI would like to specify queries based on
Medication classes like Beta Blockers,
Weight Loss Drugs, etc. Since we are using the Drug Ontology as the mediating
ontology, there are two scenarios
1. Where the medication class is represented in the Drug Ontology and 2. Where
the medication class is not
represented in the ontology. Let's begin with the first scenario. The basic
steps of the demo can be as
follows:
(A) The CTI specifies a query based on a medication class present in the drug
ontology
(B) The query is executed agains the data sets, however no patient results are
returned
(C) The CTI then loads semantic mappings from Drug Ontology Classes to RxNorm
and executes the queries again.
(D) Some patients are identified. The mapping modules navigates the mapping
from the medication class to the
drug ontology classes to their RxNorm codes to achieve this
(E) The CTI tries to specify a query based on a medication class not present in
the drug ontology
(F) He defines this new class in terms of the old classes and properties
present in the Drug Ontology
(G) The query is executed against the data sets and patient results are
returned. Semantic mappings of the old
classes and properties used in the definition of the new class are
leveraged to idenify the relevant codes
in the data sets.
