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Real World Evidence: methodological issues and opportunities from the European Health Data Space

The current Evidence-Based-Medicine (EBM) approach is generally based on data coming from Randomized Clinical Trials or and, epidemiological observational studies. However, the past few years, with the explosion of available data derived from e-technology, a novel aspect regarding EBM arose, the Rea...

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Autor principal: Kympouropoulos, Stelios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426051/
https://www.ncbi.nlm.nih.gov/pubmed/37580721
http://dx.doi.org/10.1186/s12874-023-02014-3
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author Kympouropoulos, Stelios
author_facet Kympouropoulos, Stelios
author_sort Kympouropoulos, Stelios
collection PubMed
description The current Evidence-Based-Medicine (EBM) approach is generally based on data coming from Randomized Clinical Trials or and, epidemiological observational studies. However, the past few years, with the explosion of available data derived from e-technology, a novel aspect regarding EBM arose, the Real-World-Data (RWD). RWD refers to data collected outside traditional studies, such as e-health records, claims data, patient-generated information, registries, etc. This type of information provides invaluable insights into the effectiveness, safety, and value of medical treatments and interventions when applied in real world settings. European Health Data Space (EHDS) is an initiative launched by the European Commission to create a secure and protected platform for exchanging health data across borders within European Union. The powerful combination of RWD within the EHDS serves as a valuable resource, supporting research initiatives. By analyzing diverse RWD sources, researchers generate Real-World Evidence (RWE) broadening medical knowledge. In this comment paper, methodological issues and opportunities of the application of EHDS in member states are discussed. Undoubtedly, EHDS creates a health-specific ecosystem empowering individuals through increased digital access and control their health data, providing a consistent, truthful and proficient set-up for the use of health data for research, innovation, policy-making and regulatory activities.
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spelling pubmed-104260512023-08-16 Real World Evidence: methodological issues and opportunities from the European Health Data Space Kympouropoulos, Stelios BMC Med Res Methodol Comment The current Evidence-Based-Medicine (EBM) approach is generally based on data coming from Randomized Clinical Trials or and, epidemiological observational studies. However, the past few years, with the explosion of available data derived from e-technology, a novel aspect regarding EBM arose, the Real-World-Data (RWD). RWD refers to data collected outside traditional studies, such as e-health records, claims data, patient-generated information, registries, etc. This type of information provides invaluable insights into the effectiveness, safety, and value of medical treatments and interventions when applied in real world settings. European Health Data Space (EHDS) is an initiative launched by the European Commission to create a secure and protected platform for exchanging health data across borders within European Union. The powerful combination of RWD within the EHDS serves as a valuable resource, supporting research initiatives. By analyzing diverse RWD sources, researchers generate Real-World Evidence (RWE) broadening medical knowledge. In this comment paper, methodological issues and opportunities of the application of EHDS in member states are discussed. Undoubtedly, EHDS creates a health-specific ecosystem empowering individuals through increased digital access and control their health data, providing a consistent, truthful and proficient set-up for the use of health data for research, innovation, policy-making and regulatory activities. BioMed Central 2023-08-14 /pmc/articles/PMC10426051/ /pubmed/37580721 http://dx.doi.org/10.1186/s12874-023-02014-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Comment
Kympouropoulos, Stelios
Real World Evidence: methodological issues and opportunities from the European Health Data Space
title Real World Evidence: methodological issues and opportunities from the European Health Data Space
title_full Real World Evidence: methodological issues and opportunities from the European Health Data Space
title_fullStr Real World Evidence: methodological issues and opportunities from the European Health Data Space
title_full_unstemmed Real World Evidence: methodological issues and opportunities from the European Health Data Space
title_short Real World Evidence: methodological issues and opportunities from the European Health Data Space
title_sort real world evidence: methodological issues and opportunities from the european health data space
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426051/
https://www.ncbi.nlm.nih.gov/pubmed/37580721
http://dx.doi.org/10.1186/s12874-023-02014-3
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