Preview

Real-World Data & Evidence

Advanced search

DARWIN EU® is an electronic platform for the collection and analysis of health data in the European Union

https://doi.org/10.37489/2782-3784-myrwd-24

EDN: GPIMRX

Abstract

The growing volume and complexity of data that is currently being collected in a variety of settings and devices is of varying degrees and quality, posing a challenge for the public health sector to develop a robust electronic system that can be collected, analyzed and made available to clinicians. The creation of a system, the development of the capabilities and potential of information technologies for obtaining, managing and analyzing a large amount of data, will allow to identify facts regarding the safety and effectiveness of the use of drugs, to investigate the validity of statements made by pharmaceutical companies, to obtain a more accurate characterization of treatment methods in individual healthcare sectors and to provide doctors with quick and constant access to this information, which will facilitate its use in the treatment of patients. The development of such a tool is a priority for the health care system in a changing world. An example of such a tool is the Data Analysis and Real Word Interrogation Network (DARWIN EU®), which was launched on February 9, 2022 by the European Medicines Agency. The purpose of this article is to review the history of creation, organizational structure, operating principles, current experience of the European Union regulatory network and comparison with the experience of international regulatory bodies. The article, along with the experience of the European Medicines Agency, also considers similar initiatives in the US and Canada.

About the Authors

K. S. Radaeva
First St. Petersburg State Medical University, named after I. P. Pavlov
Russian Federation

Radaeva Ksenia S.

St. Petersburg



E. V. Verbitskaya
First St. Petersburg State Medical University, named after I. P. Pavlov
Russian Federation

Verbytskaya Elena V. — candidate of biological sciences, associate professor

St. Petersburg



References

1. HMA-EMA Joint Big Data Taskforce Phase II report: «Evolving Data-Driven Regulation» | EMA. Available from: https://www.ema.europa.eu / en / documents / other / hma-ema-joint-big-datataskforce-phase-ii-report-evolving-data-drivenregulation_en. pdf.

2. Data Analysis and Real-World Interrogation Network (DARWIN EU) | EMA. Available from: https://www.ema.europa.eu / en / about-us / howwe-work / big-data / data-analysis-real-worldinterrogation-network-darwin-eu.

3. Eremenko EO, Baranova MI. SENTINEL SYSTEM — electronic system for collecting realworld data. Real-World Data & Evidence. 2022;2 (2):32-40. (In Russ.). https://doi.org / 10.37489 / 2782-3784-myrwd-15.

4. Behrman RE, Benner JS, Brown JS, McClellan M, Woodcock J, Platt R. Developing the Sentinel System — A National Resource for Evidence Development. New England Journal of Medicine. 2011;364 (6):498-9.https://www.nejm.org / doi / full / 10.1056 / nejmp1014427.

5. Platt RW, Henry D, Suissa S. The Canadian Network for Observational Drug Effect Studies (CNODES): reflections on the first eight years, and a look to the future. — 2019. https://doi.org /10.1002/pds.4936.

6. Kolbin AS, Belousov DYu. A brief report of real-world evidence development (RWD / RWE) in 2021: United States, Russia, and the Eurasian Economic Union (EAEU). Real-World Data & Evidence. 2022;2 (1):1-9. (In Russ.).

7. Kolbin AS. Resolution based on the results of the III annual scientific and practical conference «Real clinical practice in a changing world. Challenges and Solutions». Real-World Data & Evidence. 2022;2 (3):35-41. (In Russ.).


Review

For citations:


Radaeva K.S., Verbitskaya E.V. DARWIN EU® is an electronic platform for the collection and analysis of health data in the European Union. Real-World Data & Evidence. 2022;2(4):26-33. (In Russ.) https://doi.org/10.37489/2782-3784-myrwd-24. EDN: GPIMRX

Views: 533


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2782-3784 (Online)