About: The Oxford Royal College of General Practitioners Clinical Informatics Digital Hub: Protocol to Develop Extended COVID-19 Surveillance and Trial Platforms

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: The Oxford Royal College of General Practitioners Clinical Informatics Digital Hub: Protocol to Develop Extended COVID-19 Surveillance and Trial Platforms Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	The Oxford Royal College of General Practitioners Clinical Informatics Digital Hub: Protocol to Develop Extended COVID-19 Surveillance and Trial Platforms
Creator	Zambon, Maria Thomas, Mark Nazareth, Irwin Butler, Chris Smith, Gillian Williams, John Elliot, Alex Sanchez, Travis Briggs, John Byford, Rachel Joy, Mark de Lusignan, Simon Akinyemi, Oluwafunmi Amirthalingam, Gayatri Bates, Chris Dabrera, Gavin Feher, Michael Ferreira, Filipa Howsam, Gary Jones, Nicholas Krajenbrink, Else Liyanage, Harshana Lopez Bernal, Jamie Marshall, Martin Nicholson, Brian Okusi, Cecilia Parry, John Sherlock, Julian Thomas, Nicholas Leach, Jonathan Tripathy, Manasa Dorward, Jienchi Eavis, Alex Hoang, Uy Hobbs, FD Nieri, Philip O’Hanlon, Shaun Sullivan, Frank Victor, William Wood, Ian
Source	Medline; PMC
abstract	BACKGROUND: Routinely recorded primary care data have been used for many years by sentinel networks for surveillance. More recently, real world data have been used for a wider range of research projects to support rapid, inexpensive clinical trials. Because the partial national lockdown in the United Kingdom due to the coronavirus disease (COVID-19) pandemic has resulted in decreasing community disease incidence, much larger numbers of general practices are needed to deliver effective COVID-19 surveillance and contribute to in-pandemic clinical trials. OBJECTIVE: The aim of this protocol is to describe the rapid design and development of the Oxford Royal College of General Practitioners Clinical Informatics Digital Hub (ORCHID) and its first two platforms. The Surveillance Platform will provide extended primary care surveillance, while the Trials Platform is a streamlined clinical trials platform that will be integrated into routine primary care practice. METHODS: We will apply the FAIR (Findable, Accessible, Interoperable, and Reusable) metadata principles to a new, integrated digital health hub that will extract routinely collected general practice electronic health data for use in clinical trials and provide enhanced communicable disease surveillance. The hub will be findable through membership in Health Data Research UK and European metadata repositories. Accessibility through an online application system will provide access to study-ready data sets or developed custom data sets. Interoperability will be facilitated by fixed linkage to other key sources such as Hospital Episodes Statistics and the Office of National Statistics using pseudonymized data. All semantic descriptors (ie, ontologies) and code used for analysis will be made available to accelerate analyses. We will also make data available using common data models, starting with the US Food and Drug Administration Sentinel and Observational Medical Outcomes Partnership approaches, to facilitate international studies. The Surveillance Platform will provide access to data for health protection and promotion work as authorized through agreements between Oxford, the Royal College of General Practitioners, and Public Health England. All studies using the Trials Platform will go through appropriate ethical and other regulatory approval processes. RESULTS: The hub will be a bottom-up, professionally led network that will provide benefits for member practices, our health service, and the population served. Data will only be used for SQUIRE (surveillance, quality improvement, research, and education) purposes. We have already received positive responses from practices, and the number of practices in the network has doubled to over 1150 since February 2020. COVID-19 surveillance has resulted in tripling of the number of virology sites to 293 (target 300), which has aided the collection of the largest ever weekly total of surveillance swabs in the United Kingdom as well as over 3000 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serology samples. Practices are recruiting to the PRINCIPLE (Platform Randomised trial of INterventions against COVID-19 In older PeopLE) trial, and these participants will be followed up through ORCHID. These initial outputs demonstrate the feasibility of ORCHID to provide an extended national digital health hub. CONCLUSIONS: ORCHID will provide equitable and innovative use of big data through a professionally led national primary care network and the application of FAIR principles. The secure data hub will host routinely collected general practice data linked to other key health care repositories for clinical trials and support enhanced in situ surveillance without always requiring large volume data extracts. ORCHID will support rapid data extraction, analysis, and dissemination with the aim of improving future research and development in general practice to positively impact patient care. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/19773
has issue date	2020-07-02(xsd:dateTime)
bibo:doi	10.2196/19773
bibo:pmid	32484782
has license	cc-by
schema:url	https://doi.org/10.2196/19773
resource representing a document's title	The Oxford Royal College of General Practitioners Clinical Informatics Digital Hub: Protocol to Develop Extended COVID-19 Surveillance and Trial Platforms
has PubMed Central identifier	PMC7333793
has PubMed identifier	32484782
schema:publication	JMIR Public Health Surveill
resource representing a document's body	covid:PMC7333793#body_text
is schema:about of	named entity 'General Practitioners' named entity 'Platforms' named entity 'Royal College' named entity 'Digital Hub' named entity 'information governance' named entity 'clinical trials' named entity 'PHE' named entity 'genetic data' named entity 'COVID-19' named entity 'COVID-19 response' named entity 'HES' named entity 'Egton Medical Information Systems' named entity 'Health Service' named entity 'clinical diagnoses' named entity 'Health Service' named entity 'clinical trials' named entity 'ethical approval' named entity 'HES' named entity 'data set' named entity 'United Kingdom' named entity 'RCGP' named entity 'United Kingdom' named entity 'data sets' named entity 'health care' named entity 'cost-effectiveness' named entity 'data quality' named entity 'influenza-like illness' named entity 'interoperability' named entity 'health data' named entity 'COVID-19' named entity 'Clinical Informatics' named entity 'United Kingdom' named entity 'RCGP' named entity 'COVID-19 response' named entity 'COVID-19 pandemic' named entity 'data platform' named entity 'clinical trials' named entity 'primary care' named entity 'COVID-19' named entity 'RCGP' named entity 'Information governance' named entity 'PHE' named entity 'evidence-based'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software