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B2i Healthcare provides tools and services to maximize SNOMED CT's utili= ty. B2i Healthcare Pte Ltd (B2i) is a boutique software engineering firm sp= ecialized in SNOMED CT and healthcare information standards and exchange. B= 2i provide products to simplify SNOMED CT adoption and offer software devel= opment services to support healthcare IT needs.1
For more information please visit http://www.b2international.co= m.
Snow Owl is a clinical terminology platform developed by B2i Healthcare.= The Snow Owl technology family is deployed in over 2,500 locations in 83+ = countries worldwide. The Snow Owl=C2=AE terminology server has been licensed by SNOMED International to f= orm the basis of SNOMED International Terminology Server.
The Snow Owl=C2=AE terminology server scales from a small kernel embedde= d in single-user products to n-tier clusters supporting hundreds of concurr= ent users. Clients can easily access and query SNOMED CT, LOINC, ATC, ICD-1= 0, and dozens of additional terminologies via REST or Java APIs. Collaborat= ive distributed authoring is also supported, including creating and maintai= ning local code systems, mapping between terminologies, and creating termin= ology subsets.
Terminology server features include:
The Singapore Drug Dictionary (SDD) is the biggest SNOMED CT extension -= larger than SNOMED CT International release itself. To support medication = safety initiatives like medication management and adverse drug event survei= llance, the drug ontology makes use of Snow Owl's extended description logi= c support.
The Snow Owl IDE (Integrated Development Environment) simplifies develop= er tasks related to terminology tooling. The architecture allows customized= extensions to integrate tooling needs within a single platform.
The IDE embeds a terminology server and simplifies common terminology ma= intenance, ETL, and other tasks. Customized authoring environments support = developing a library of queries (SNOMED CT expression constraints) using th= e Simple or Extended SNOMED CT Compositional Grammars and Groovy scripting.= Files can be exported in a variety of formats like OWL 2, SNOMED CT RF1 an= d RF2, ClaML, spreadsheets and text files. Custom formats can also be creat= ed that support direct import and export to proprietary EHR and terminology= applications.
Typical vendor deployments: EHR vendors use Snow Owl to create and maint= ain their local terminologies and mappings to reference terminologies like = SNOMED CT. Snow Owl IDE allows exporting this in a format consumable by the= proprietary EHR system format. The Snow Owl IDE has been built into propri= etary tooling combining information modelling with ontology development.
Snow Owl's collaborative terminology authoring platform maintains termin= ology artefacts developed by a team and supported by business workflows. Th= e platform consists of the terminology server with remote clients collabora= ting with independent authoring workflows. The platform integrates with ext= ernal task management systems like Bugzilla and JIRA.
Features:
The Singapore Ministry of Health Holdings uses Snow Owl to maintain thei= r national SNOMED CT extension and local code systems as well as multi-term= inology value sets and mappings used in their National Healthcare Data Dict= ionary.
The international adoption of SNOMED CT and related healthcare ontologie= s has provided the logical definitions that enable a new breed of queries. = Unfortunately, it's challenging to run ad hoc queries that make use of the = full semantics of the underlying EHRs. Operational stores have the data, bu= t in a variety of structures that can't act on the semantic relationships b= etween healthcare terms. Data warehouses can query only aggregated data tha= t has been placed into predefined buckets which don't provide the scale of = complexity inherent in the original data. And multiple information models r= epresent the same semantic meaning in different ways.
Snow Owl Meaningful Query (MQ) allows semantic EHR queries on operationa= l data stores without requiring predefined structures like data warehouses = or the presence of a single unified healthcare information model. The syste= m is optimized specifically for ad hoc queries of hundreds of mill= ions of electronic health records. We combine ontological reasoning over th= e EHRs with more traditional query methods to incorporate demographic and a= ncillary data.
This query interface is being rolled out to all Singapore public hospita=
ls and the national procurement office to allow search and retrieval of pha=
rmaceuticals contained within the Singapore Drug Dictionary ontology. All l=
exical and semantic properties can be searched, including datatype properti=
es and mappings to local code systems, external terminologies like ATC, and=
internal procurement codes.
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1 | www.b2international.com |