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Creating a health informatics data resource for hearing health research.

Authors :
Mehta, Nishchay
Ribeyre, Baptiste Briot
Dimitrov, Lilia
English, Louise J.
Ewart, Colleen
Heinrich, Antje
Joshi, Nikhil
Munro, Kevin J.
Roadknight, Gail
Romao, Luis
Schilder, Anne Gm
Spriggs, Ruth V.
Norris, Ruth
Ross, Talisa
Tilston, George
Source :
BMC Medical Informatics & Decision Making; 7/29/2024, Vol. 24 Issue 1, p1-9, 9p
Publication Year :
2024

Abstract

Background: The National Institute of Health and Social Care Research (NIHR) Health Informatics Collaborative (HIC) for Hearing Health has been established in the UK to curate routinely collected hearing health data to address research questions. This study defines priority research areas, outlines its aims, governance structure and demonstrates how hearing health data have been integrated into a common data model using pure tone audiometry (PTA) as a case study. Methods: After identifying key research aims in hearing health, the governance structure for the NIHR HIC for Hearing Health is described. The Observational Medical Outcomes Partnership (OMOP) was chosen as our common data model to provide a case study example. Results: The NIHR HIC Hearing Health theme have developed a data architecture outlying the flow of data from all of the various siloed electronic patient record systems to allow the effective linkage of data from electronic patient record systems to research systems. Using PTAs as an example, OMOPification of hearing health data successfully collated a rich breadth of datapoints across multiple centres. Conclusion: This study identified priority research areas where routinely collected hearing health data could be useful. It demonstrates integration and standardisation of such data into a common data model from multiple centres. By describing the process of data sharing across the HIC, we hope to invite more centres to contribute and utilise data to address research questions in hearing health. This national initiative has the power to transform UK hearing research and hearing care using routinely collected clinical data. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14726947
Volume :
24
Issue :
1
Database :
Complementary Index
Journal :
BMC Medical Informatics & Decision Making
Publication Type :
Academic Journal
Accession number :
178677428
Full Text :
https://doi.org/10.1186/s12911-024-02589-x