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| __TOC__
| | These articles describe the Endeavour open source technologies and services. |
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| These articles describe the Endeavour information modelling open source technologies and services, proven at scale as part of a broader set of Endeavour open source technologies, which have been adapted and used by a large scale [https://wiki.discoverydataservice.org/index.php?title=Welcome_to_the_Discovery_Data_Service_knowledge_base NHS London Data linkage and normalisation Service] covering a population of 7 million registered citizens.
| | The objectives of the technologies can be summarised as : |
| ==Health Information model==
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| If health related data is brought together at the level of the individual in close to real time, and stored together at the level of a medium size residential population, and made available via an ontology, and then subsequently used for individual and population based decision support, great benefits to health can accrue.
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| To make sense of huge variation with thousands of data types and millions of codes from thousands of providers using scores of different systems, it is useful to create an information model covering a data model, an ontology of concepts bound to the data model, and presented via an application in a way that enables query of all of the data by a none technical user.
| | ''If health related data is brought together at the level of the individual in close to real time, at the level of a medium size residential population, and made available via ontologies and common data models, and then subsequently used for individual and population based decision support, great benefits to health can accrue.'' |
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| Having established such a model , it is then possible to construct logical definitions of query and concept sets that can then be used on the data published from the sources.
| | These technologies form part of a broader set technologies, many of which have been adapted and used by a large scale [https://wiki.discoverydataservice.org/index.php?title=Welcome_to_the_Discovery_Data_Service_knowledge_base NHS London Data linkage and normalisation Service] covering a population of 7 million registered citizens. |
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| Services that link and normalise the data can use the model and/ or the ontologies within it, creating maps between source data and the common model.
| | These pages can be categorised into the main areas as follows: |
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| Most models use either bespoke health care languages such as those used by HL7 or openEHR. The approach used in the Endeavour information model is to adopt and adapt the Main stream semantic web languages based on a view of health data as a graph with the nodes and edges identified and modelled as RDF.
| | * [[Information modelling]]. Describes an approach to modelling ontologies and data models, together with query, using main stream semantic web languages. |
| | | * [[Information model service|Information model services]]. Describes the Endeavour terminology server and applications designed to aid with modelling information, building libraries of artefacts such as value sets, query definitions and data models. |
| The model is not a new standard or an invention of new concepts. Instead, the content of the Endeavour IM incorporates concepts from a number of recognised sources including:
| | * [[Decision support services]]. Describes a set of internationally used health prediction functions, access via Web APIs |
| | | * [[UPRN address match application|Address matching (UPRN ASSIGN)]] application and APIs, which use a transparent assured and published approach to matching addresses in order to allocate a UPRN |
| a) The main stream health ontology Snomed-CT with extensions to accommodate the unmapped NHS data dictionary attributes, local codes, and code taxonomies such as OPCS, ICD10 as well as the legacy mappings to Read 2.
| | * [[FHIR Get Structured Record API|Health record APIs.]] Describes a set of APIs for accessing health records using FHIR. |
| | | * [[Architectures]] of data service. Describes a high level architecture for a service, based on these technologies, that processes millions of patient records. |
| b) The main stream messaging model resources such as FHIR making the IM FHIR compatible via simple transforms.
| | * [[GitHub repositories|Github pages]]. Lists a number of github sites containing the repositories holding the open source software that implements the services |
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| c) The main stream query definitions such as QOF.
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| == Information model Components ==
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| *[[Discovery health information model|Health Information model]] - An overview of the approach to the Health information model, the purpose, and type of content. | |
| *[[Health Information modelling language|Information model languages]] - The Semantic Web languages used to build the various components of the information models
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| *[[Information model query|Health query definition]]- A logical machine readable definition of query, covering the majority of health data query requirements.
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| *[[Information model meta model]]. The class model (shapes model) of the classes used to hold the model content. | |
| *[[Mapping and matching concepts|Mapping concepts and transforming published data]] - Introduces the approaches to matching and mapping concepts and the structural maps used in transforming published data, | |
| *[[Architectures|Architectures -]] A high level overview of the architectures that the technologies contribute to
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| *[[GitHub repositories]] - descriptions and information relating to the application source code, .
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| = Applications and APIs =
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| These articles provide information about the applications that have been by the technologies
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| *[[Information_model_service|Information model applications and services]] - the applications and technical services , such as APIs and apps that enable an model instance to be used or to implement an EHR based on the model or particular data model
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| *[[FHIR Get Structured Record API|get Structured Record APIs]] - returns a project specific patient record in a structured format using FHIR standards. | |
| *[[Monitoring and alerting]] - provides an overview of the monitoring and alert systems in place. | |
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| *[[Data Sharing Manager|Data Sharing manager]]- DSM provides a visual representation of data that is being shared and processed and by which organisations, regions, and/or services.
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| *[[UPRN address match application|ASSIGN- UPRN address matching application -]] a web based application that matches single or batches of hand entered address to authoritative addresses and assigns a unique property reference number. | |
| *[[Alert Generator]] - APIs that generates a patient alert based on a query, sends a notification to recipients and provides recipients with access to a web application to view the content of the record according to the data set
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| *[[Case studies|Data Distribution services]] that distribute daily weekly or adhoc small data sets from the linked core data stores with examples from 2020
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These articles describe the Endeavour open source technologies and services.
The objectives of the technologies can be summarised as :
If health related data is brought together at the level of the individual in close to real time, at the level of a medium size residential population, and made available via ontologies and common data models, and then subsequently used for individual and population based decision support, great benefits to health can accrue.
These technologies form part of a broader set technologies, many of which have been adapted and used by a large scale NHS London Data linkage and normalisation Service covering a population of 7 million registered citizens.
These pages can be categorised into the main areas as follows:
- Information modelling. Describes an approach to modelling ontologies and data models, together with query, using main stream semantic web languages.
- Information model services. Describes the Endeavour terminology server and applications designed to aid with modelling information, building libraries of artefacts such as value sets, query definitions and data models.
- Decision support services. Describes a set of internationally used health prediction functions, access via Web APIs
- Address matching (UPRN ASSIGN) application and APIs, which use a transparent assured and published approach to matching addresses in order to allocate a UPRN
- Health record APIs. Describes a set of APIs for accessing health records using FHIR.
- Architectures of data service. Describes a high level architecture for a service, based on these technologies, that processes millions of patient records.
- Github pages. Lists a number of github sites containing the repositories holding the open source software that implements the services
