OHDSI UK 2024

Event Overview

On Friday, 27th September 2024, the OHDSI UK National Node held its 2nd Annual Meeting at the Wellcome Trust headquarters in London. This year’s event, hosted in collaboration with Health Data Research UK (HDR UK), brought together experts from across the UK’s health informatics and data science communities to explore the OMOP Common Data Model (CDM) and its applications in healthcare research. The event, marked by insightful discussions, software demos, and a series of informative posters, attracted professionals from academia, healthcare organisations, industry, and regulatory bodies.

This OHDSI UK National Node’s second annual meeting provided a platform for showcasing national and international research and development efforts leveraging the OMOP CDM. The day’s agenda featured a series of presentations, lightning talks, posters, and software demonstrations aimed at highlighting the advances in using health data for real-world evidence generation.

Agenda Highlights

Invited Presentations:

• Dani Prieto-Alhambra (NDORMS): An Update on OMOP-Based Activity Nationally 
• Helen Booth (MHRA) Proof-of-Concept for a UK Federated Data Network Using the OMOP CDM 
• Phil Waywell (NHSE Data for R&D Programme) The Future of OMOP across the NHS Research Secure Data Environment Network
• Julia Lanoue and Ben Cairns (Our Future Health): Future Health: A New Prospective Cohort Study 

Lightning Talks 1 – Clinical Research Applications

• Usama Rahman (Barts NHS): An international multi-centre federated-network data analysis using routine health data investigating disparities in care for patients with scaphoid fractures
• Leena Elhussein (University of Oxford): Use of systemic fluoroquinolones in primary care and hospital settings in the UK: A population-level cohort study
• Tim Howcroft (Lancashire Teaching Hospitals): OMOP Based CKD Detection Algorithm
• James Brash (IQVIA UK): Cardiovascular Drug Effects on Non-Traumatic Amputation Rates in Type 2 Diabetes: Insights from a Large-Scale Retrospective Real-World Data Analysis
• Marta Pineda-Moncusi (University of Oxford): Forecasting the prescription rates of antibiotics in the UK between 2013 to 2023 incorporating the impact of COVID-19

Lightning Talks 2 – Open-Source Software

• Bradley Kirby (Health Data Research UK): Cohort Discovery and the OMOP Common Data Model in the United Kingdom
• Clara L. Oeste (LynxCare): Enhancing Hematologic Oncology Data Capture in the OMOP CDM: Methodological Advances and Challenges
• Andy South (UCLH): Visualising OMOP concept relationships with omopcept
• Abigail Carter (Genomics England): Cloud-based, Automated Solution to Transforming Clinical Datasets to the OMOP CDM
• Alex Knight (Health Data Research UK): Adoption of the OMOP Common Data Model in the UK
• Rachel Sippy (University of Cambridge): Standardisation of Multi-Agency Data to the OMOP-Common Data Model

Lightning Talks 3 – UK EHDEN Data Partners

• Christian Cole (University of Dundee): The Alleviate Pain Data Hub
• Quin Ashcroft (Lancashire Teaching Hospitals): Data Scientist, Integrating OMOP data into daily monitoring of Sepsis patients
• Mehrdad Mizani (BHF Data Science Centre): Mapping the population data of England into OMOP CDM: Leveraging big data technologies in a Secure Data Environment (SDE)

Posters

1. Usama Rahman (Barts Health): Disparities in care for scaphoid fractures
2. Rachel Sippy (Cambridge): Standardisation of multi-agency data
3. Christian Cole (HIC Dundee): The Alleviate Pain Data Hub
4. Taryn Aspeling (NWL ICB): Primary Care Data OMOP mapping in London
5. Quin Ashcroft (Lancashire Teaching Hospitals): OMOP data in sepsis monitoring
6. Leena Elhussein (Oxford): Fluoroquinolone usage in UK primary care
7. Tim Howcroft (Lancashire Teaching Hospitals): CKD detection using OMOP
8. James Brash (IQVIA UK): Cardiovascular drug effects on amputation rates
9. Marta Pineda-Moncusi (Oxford): Antibiotics prescription trends
10. Helen P. Booth (MHRA): UK regulatory studyathon
11. Bradley Kirby (HDR UK): Cohort discovery and OMOP CDM adoption
12. Mehrdad Mizani (BHF Data Science Centre): Population data mapping in OMOP CDM
13. Dries Hens (LynxCare): Hematologic oncology data capture
14. Andy South (UCLH): OMOP concept relationship visualisation
15. Abigail Carter (Genomics England): Cloud-based OMOP data transformation
16. Alex Knight (HDR UK): Adoption of the OMOP Common Data Model in the UK

Software Demonstrations

The software demonstrations provided attendees with hands-on insights into tools developed to facilitate OMOP CDM usage:

1. Marta Alcalde Herraiz (Oxford): OmopSketch – an R package for OMOP data characterisation

• GitHub: OHDSI/OmopSketch
• Web Page: Characterise Tables of an OMOP Common Data Model Instance • OmopSketch
• CRAN: Package OmopSketch

2. Vishnu Chandrabalan (Lancashire Teaching Hospitals): On-demand OMOP development environments
   • GitHub: https://github.com/lsc-sde/
3. Solmaz Eradat Oskoui (Data Harmonise): Data pipeline creation in Airtable
   • GitHub: https://github.com/solmazeradat/ETL-Airtable-OMOP
4. Matt Stammers (University Hospital Southampton): Redacting patient information from clinical text
   • GitHub: SETT-Centre-Data-and-AI/Pteredactyl
   • Demo: pteredactyl_PII
5. Bradley Kirby (HDR UK): Cohort discovery in OMOP
   • Cohort Discovery: https://healthdatagateway.org/en/about/cohort-discovery
6. Andy South (UCLH): OMOP concept visualisation

https://github.com/SAFEHR-data/omopcept