Welcome to the Endeavour Health knowledge base: Difference between revisions

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These articles describe the Endeavour open source technologies and services.


These articles describe the various technologies underpinning the Endeavour open source technologies which have been adopted and used by a large scale NHS  London Data linkage and normalisation Service covering a population of 7 million registered citizens.
The objectives of the technologies can be summarised as :
==Data Service and Health Information model==
The data service is based on the hypothesis that; 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 a common data model as part of a common ontology, and then subsequently used for individual and population based decision support, great benefits to health can accrue.


The service uses technologies that consist of a set of components that link near real time data from millions of records from thousands of provider organisations, with scores of different formats and code systems and converts them to a single common information model, made up of a super ontology, a data model, ,maps between source data and the common model, sets of concepts sets and value sets for query, and query libraries.  
''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.''


All components are open source and are themselves built from open source and open standards such as the semantic web languages, JSON-LD and RESTful APIs. The ontology uses the NHS core ontologies of Snomed-CT and the NHS Data Dictionary, supplemented to accommodate the many local codes and text expressions.
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.  


== Information model Components ==
These pages can be categorised into the main areas as follows:


*[[Discovery health information model|Health Information model]] - An overview of the approach to the Health information modelthe purpose, and type of content.
* [[Information modelling]]. Describes an approach to modelling ontologies and data models, together with queryusing main stream semantic web languages.  
*[[Health Information modelling language|Information model language]] - The Semantic Web languages and domain specific languages used to build the various components of the information models
* [[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.
*[[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,
* [[Decision support services]]. Describes a set of internationally used health prediction functions, access via Web APIs
*[[Architectures|Architectures -]] A high level overview of the architectures that the technologies contribute to
* [[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
*[[GitHub repositories]] - descriptions and information relating to the application source code, .
* [[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.  
= Applications and APIs =
* [[GitHub repositories|Github pages]]. Lists a number of github sites containing the repositories holding the open source software that implements the services
 
These articles provide information about the applications that have been by the technologies
 
*[[Information_model_service|Information model services]] - the 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
 
*[[Information model manager]] - an application designed to provide a view of the common information model, concept sets, value sets and query definitions and support the authoring of the content of the model.
*[[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.
 
*[[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.
*[[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
*[[Case studies|Data Distribution services]] that distribute daily weekly or adhoc small data sets from the linked core data stores with examples from 2020
*

Revision as of 10:05, 19 March 2023

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