Establishing standards: harmonising coding principles for a minimal cancer dataset in the OMOP Common Data Model
The utility of MEDOC has been evidenced in research applications and will be continually developed in line with both learnings from centres and developments in the field of oncology. The implementation of MEDOC in line with the OMOP CDM is timely, given European initiatives to harmonise health care data systems.
Authors
- Xosé M. Fernández (ORCID: https://orcid.org/0000-0001-7139-6215)
- Joëlle Thonnard
- Abishaa Vengadeswaran (ORCID: https://orcid.org/0009-0005-1077-1698)
- James T. Brash
- Aisha Ajmal (ORCID: https://orcid.org/0000-0002-4212-5472)
- Elisabeth Ross
- Andrea Wolf
- Prabash Galgane Banduge
- S. Theophanous
- O. Bouissou
- Ana Luísa Gomes
- Sue Cheeseman (ORCID: https://orcid.org/0000-0002-9671-4715)
- A. Van Maanen
- L. Revie
Institutions
- Goethe University Frankfurt (DE)
- Umicore (Belgium) (BE)
- Oslo University Hospital (NO)
- Cliniques Universitaires Saint-Luc (BE)
- Leeds Teaching Hospitals NHS Trust (GB)
- IQVIA (United Kingdom) (GB)
- University Hospital Frankfurt (DE)
- Frankfurt Cancer Institute (DE)
- Maastro Clinic (NL)
Publication Details
- Journal
- ESMO Real World Data and Digital Oncology
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1016/j.esmorw.2025.100179
- Citations
- 1
- Primary Topic
- Global Cancer Incidence and Screening
- Type
- article
- Field-Weighted Citation Impact
- 1.05