THE SINGAPORE DRUG DICTIONARY

Orsolya Bali, Balázs Bánfai, B2i Healthcare

10th October 2013

Developing and integrating a national drug extension in SNOMED CT

Agenda

¨  Introduction to the Singapore Drug Dictionary and the Singapore SNOMED CT Extension

¨  A profile for pharmacists to enter drug definitions in Snow Owl

¨  Transforming pharmacy data into ontology ¨  Extensions to SNOMED CT ¨  Future plans ¨  Demo

The Singapore Drug Dictionary

•  Support semantic interoperability across care settings and use cases

•  Utilize the Singapore SNOMED CT Extension •  Supporting data

reference sets assist drug definition

•  Integrate detailed drug definitions into SNOMED CT’s ontological representation

Built on top of the Snow Owl platform

¨  Snow Owl is a terminology authoring tool developed by B2i Healthcare

¨  Besides SNOMED CT it supports various other terminologies and code systems, value sets and mappings

¨  Provides a collaborative authoring environment for ontologists

Entering a source drug definition

¨  Form based editor designed for pharmacists

¨  Fields are restricted by modeling rules (available values are defined by reference sets and concept attributes)

¨  Validation aids QA ¨  Preview provides a

glance at the concepts to be generated

Structure of a source drug

Source drug editor demo

¨  Open RELENZA ¨  Review an ingredient ¨  Review a device ¨  Review a packaging ¨  Mention: mappings, formulations, manufactured

products ¨  Check Preview

The medication source data editor

Specifying the ingredient and strength

BOSS automatically

calculated from Ingredient

Units populated from UOM refsets

, values are normalized

Adding a device

Values are populated from the Drug device

reference set

Creating a packaging

Value selection limited to Drug container refset

Units are either autocalculated by the

discrete dose form unit relationship, or

can be selected from a reference set

Map to external identifiers

Specify mapping to ATC code, will generate map

reference set membership for MP level concept

Preview of the generated ontology

View hierarchies generated for different use

cases. Switch between description types to use.

The ontology generation

¨  Transformation from source data to fully defined SNOMED CT concepts

¨  Different types of descriptions are generated by pre-defined algorithms

¨  Equivalent concepts are filtered and merged by the classifier

Amoxicillin 100 mg Tablet

Amoxicillin 500 mg Capsule

Amoxicillin 500 mg Tablet

Core medication classes

© MOHH

SNOMED CT hierarchy demo

¨  Expand Pharmaceutical/Biological product hierarchy

¨  Expand Singapore Medicinal Product hierarchy ¨  Set as root ¨  Expand hierarchies for MP level drug concepts,

expand Zanamivir to view hierarchies

The Singapore Medicinal Product hierarchy

MP level concepts are listed under the root node

The Zanamivir hierarchy

Similar to the hierarchy displayed in the preview,

but the reasoner merged the equivalent concepts and

added the inherited attributes

Classification issues

¨  Extended attribute types ¤ Float ¤ String ¤ Boolean

¨  Extended DL expressibility ¤ Disjointness of substances (?) ¤ Universal restriction ¤ Union groups

Maintaining the SDD extension within Snow Owl

¤ Namespace and module

¤ Reference sets ¤ Queries by attributes

Concept Editor demo

¨  Open an MPR level concept in an editor ¨  View universal restriction ¨  View concrete domain values representing the

strength ¨  View SNOMED CT properties section for module

and namespace ¨  Run pre-defined ESCG query to list all SG drugs

that are tablets

An SG drug in the SNOMED CT concept editor 1.

Concept modeling rules are partially implemented. Two

active ingredient relationships are added for proper classification – the

modifier is different.

An SG drug in the SNOMED CT concept editor 2.

SDD module and namespace and concrete domain elements (booleans) complete the

concept definition.

Attributes of an MPR concept

Strength is specified for BOSS

Future plans

¨  Automatic regeneration of descriptions ¨  Withdrawing drugs – adjust the generated concepts ¨  Medication groupers ¨  Enhanced concept editors ¨  Query by concrete domain ¨  Online browser

THANK YOU!