Projects per year
Abstract
Objective
Chronic Pain is defined as pain lasting for three months or longer and a report by the British Pain Society in 2016 found that 28 million adults live with this condition. Chronic pain research is problematic as it is poorly represented in health data and often in silos. Alleviate is the Advanced Pain Discovery Platform (APDP) Data Hub which is removing barriers to access to data.
Approach
The aim for Alleviate is to transform pain data sets within the UK to be Findable, Accessible, Interoperable and Reusable (FAIR) and be more discoverable for researchers via Health Data Research UK’s Cohort Discovery Tool. The tool enables identification of potential cohorts in real-time from datasets Alleviate provides. The onboarding requires datasets to be transformed to the open and widely used Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM).
Results
We collaboratively developed CaRROT tools and used our mapping expertise to transform datasets to OMOP-CDM. The tools have improved efficient mapping of clinical and research data, covering ~10 million individuals’ records. Subsequently we learned valuable lessons on how to accurately and consistently map across data sets to support federated discovery. We also identified a lack of standard vocabulary representations for pain specific data.
Conclusions
Mapping data to OMOP is not straightforward. Attention to detail is required to ensure that consistent mapping decisions are made to maximise data reusability and interoperability.
Implications
In sharing the lessons learned of mapping datasets to OMOP we aim to help improve interoperability of disparate data sources.
Chronic Pain is defined as pain lasting for three months or longer and a report by the British Pain Society in 2016 found that 28 million adults live with this condition. Chronic pain research is problematic as it is poorly represented in health data and often in silos. Alleviate is the Advanced Pain Discovery Platform (APDP) Data Hub which is removing barriers to access to data.
Approach
The aim for Alleviate is to transform pain data sets within the UK to be Findable, Accessible, Interoperable and Reusable (FAIR) and be more discoverable for researchers via Health Data Research UK’s Cohort Discovery Tool. The tool enables identification of potential cohorts in real-time from datasets Alleviate provides. The onboarding requires datasets to be transformed to the open and widely used Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM).
Results
We collaboratively developed CaRROT tools and used our mapping expertise to transform datasets to OMOP-CDM. The tools have improved efficient mapping of clinical and research data, covering ~10 million individuals’ records. Subsequently we learned valuable lessons on how to accurately and consistently map across data sets to support federated discovery. We also identified a lack of standard vocabulary representations for pain specific data.
Conclusions
Mapping data to OMOP is not straightforward. Attention to detail is required to ensure that consistent mapping decisions are made to maximise data reusability and interoperability.
Implications
In sharing the lessons learned of mapping datasets to OMOP we aim to help improve interoperability of disparate data sources.
Original language | English |
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Article number | 128 |
Number of pages | 1 |
Journal | International Journal of Population Data Science |
Volume | 9 |
Issue number | 5 |
DOIs | |
Publication status | Published - 10 Sept 2024 |
Event | International Population Data Linkage Conference - Chicago Fairmont, Chicago, United States Duration: 15 Sept 2024 → 18 Sept 2024 https://ipdln.org/2024-conference/ |
ASJC Scopus subject areas
- Demography
- Information Systems
- Health Informatics
- Information Systems and Management
Fingerprint
Dive into the research topics of 'Mapping UK Pain Datasets to the OMOP Common Data Model: Lessons Learned'. Together they form a unique fingerprint.Projects
- 2 Finished
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Alleviate: Hub for Pain (Pain Research Data Hub - UKRI and Versus Arthritis Strategic Priority Fund (SPF) Advanced Pain Discovery Platform) (Joint with University of Oxford, University of Bath, King's College London, Imperial College London and University of Nottingham)
Cole, C. (Investigator), Colvin, L. (Investigator), Hales, T. (Investigator), Jefferson, E. (Investigator), Smith, B. (Investigator) & Walls, R. (Investigator)
1/07/21 → 31/12/24
Project: Research
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CO-CONNECT: COVID - Curated and Open Analysis and Research Platform (UKRI Open Call - UKRI Ideas to Address COVID-19) (Joint with University of Nottingham and 17 others)
Chalmers, J. (Investigator), Jefferson, E. (Investigator) & Morales, D. (Investigator)
29/10/20 → 27/10/22
Project: Research