Phenotyping beyond (national) borders: tools, processes, and examples of transportable phenotypes based on the OMOP Common Data Model
Please note that the seminar will commence at 2:10pm.
For out next talk, in the Phenome@BDI Seminar series, on 28 February, 2:00pm – 3:00pm at the Big Data Institute (BDI), we will be hearing from Prof David Prieto-Alhambra, Clinician Scientist, Health Data Sciences, Botnar Research Centre. We are delighted to host Prof Prieto-Alhambra in what promises to be an amazing talk!

Date: 28 February
Time: 2:10pm – 3:10pm
Title: Phenotyping beyond (national) borders: tools, processes, and examples of transportable phenotypes based on the OMOP Common Data Model
Location: BDI/OxPop Seminar room 1

Abstract: Disease-based phenotypes can present in multiple ways and forms across different data sources. While tools have existed for a while to ‘translate’ across coding systems, phenotypes are often more than codes, and can include information on context (healthcare settings), treatment/s, procedure/s or laboratory measurements. As the ambition to conduct multi-database multinational studies increases, there is an urgent need to generate reusable, reproducible, and transportable phenotypes that can be used to conduct federated analytics. The OMOP Common Data Model has become a ‘de facto’ data standard that can handle different types of data and the resulting phenotypes. We will discuss tools, processes, and examples where we created and validated complex phenotypes for international collaboration on topics like COVID-19, drug/vaccine safety, and descriptive epidemiology research.

About: Prof Dani Prieto-Alhambra is a clinician scientist leading the Health Data Sciences section of the Botnar Research Centre. Dani has extensive expertise in the processing and analysis of national and international routine health data for the study of human health. The COVID-19 pandemic catapulted his work and visibility internationally. Dani’s group’s mission is to improve human health through the use of real world data.

1. Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, OX3 7LD, United Kingdom.
2. Department of Medical Informatics, Erasmus University Medical Centre, 3015 GD Rotterdam, The Netherlands
All members of the University are welcome to join, please let reception at BDI know you’re here for the seminar and sign-in. We hope you can join us! We encourage in-person attendance where possible. There is time for discussion over, tea, coffee and pastries after the talks.

Hybrid Option:
Please note that these meetings are closed meetings and only open to members of the University of Oxford to encourage sharing of new and unpublished data. Please respect our speakers and do not share the link with anyone outside of the university. The aim of these seminars is to increase interaction between people working in Phenome across the University so we encourage in person attendance wherever possible.

Microsoft Teams meeting –
Meeting ID: 336 238 783 164
Passcode: CSXeU8
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Date: 28 February 2024, 14:10 (Wednesday, 7th week, Hilary 2024)
Venue: Big Data Institute, Old Road Campus OX3 7LF
Venue Details: Seminar Room 1
Speaker: Prof Daniel Prieto-Alhambra (NDORMS, University of Oxford)
Organising department: Big Data Institute (NDPH)
Organiser: Aiden Doherty (University of Oxford)
Organiser contact email address:
Part of: Digital Phenotying
Booking required?: Not required
Cost: free
Audience: Members of the University only
Editor: Sumeeta Maheshwari