Alexander Davydov, MD
Consulting Partner at Thesaurus Health
Community Contribution Lead for OHDSI
Dr. Alexander Davydov supports the adoption of the OMOP Common Data Model and OHDSI Standardized Vocabularies across research, health systems, and industry, with a focus on practical data standardization, ETL, terminology mapping, and downstream research quality. His work involves close collaboration with local OHDSI communities and external collaborators, helping make the OMOP CDM and Vocabularies more transparent and easier to implement in national programs, global networks, and project-specific use cases. He also brings the OHDSI perspective into related health-data communities, including HL7 FHIR, openEHR, and Health Data Forum.
Alexander has been active in OHDSI since 2018. He previously led the OHDSI Vocabulary team and played an essential role in the development of the OHDSI Standardized Vocabularies. His work has spanned the CDM, Themis, Vocabulary, Vaccine Vocabulary (co-lead from 2026), ATC, Registry (formerly UK Biobank), Oncology/Genomics, Survey, Rare Diseases, and Network Data Quality workgroups and related contributions. In 2024, Alexander received the OHDSI Titan Award for Data Standards.
Before joining OHDSI, he worked as a clinical microbiologist, laboratory researcher, and lecturer in academia. He is a fully registered physician and obtained his Medical Doctor degree and PhD training from Belarusian State Medical University in Minsk, Belarus. His earlier work included antimicrobial resistance surveillance, invasive bacterial disease reference-laboratory work, pneumococcal research, and laboratory quality systems.
- OHDSI Standardized Vocabularies-a large-scale centralized reference ontology for international data harmonization. Christian Reich, Anna Ostropolets, Patrick Ryan, et al. Journal of the American Medical Informatics Association, 31(3), 583-590 (2024).
- VO: The Vaccine Ontology. Jie Zheng, Asiyah Yu Lin, Anthony Huffman, et al. Scientific Data (2026).
- Standardizing registry data to the OMOP Common Data Model: experience from three pulmonary hypertension databases. Patricia Biedermann, Rose Ong, Alexander Davydov, et al. BMC Medical Research Methodology, 21, 238 (2021).
- Towards quality improvement of vaccine concept mappings in the OMOP vocabulary with a semi-automated method. Rashmie Abeysinghe, Adam Black, Denys Kaduk, et al. Journal of Biomedical Informatics, 134, 104162 (2022).
- Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study. Edward Burn, Seng Chan You, Albert G. Sena, et al. Nature Communications, 11, 5009 (2020).
- Risk of hydroxychloroquine alone and in combination with azithromycin in the treatment of rheumatoid arthritis: a multinational, retrospective study. Jennifer C. E. Lane, James Weaver, Kristin Kostka, et al. The Lancet Rheumatology, 2(11), e698-e711 (2020).
- Pneumococcal lineages associated with serotype replacement and antibiotic resistance in childhood invasive pneumococcal disease in the post-PCV13 era: an international whole-genome sequencing study. Stephanie W. Lo, Rebecca A. Gladstone, Andries J. van Tonder, et al. The Lancet Infectious Diseases, 19(7), 759-769 (2019).
