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Understanding Healthcare Data Interoperability in Clinical Research
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Understanding Healthcare Data Interoperability in Clinical Research
An insight into the definition, importance, and challenges of interoperability, and its role in reducing redundant processes, enabling real-time data sharing, and supporting informed decision-making.
Read More →Experts from India and Europe Discuss the Future of Real-World Evidence
A recent Round Table Conference on “Real-World Evidence (RWE) and Post-Marketing Surveillance (PMS) Studies” brought together eminent experts from India and across Europe to discuss the future of RWE.
Read More →Latest Research
A recent article by Rogge et al. (2025) discusses the increasing importance of Real-World Evidence (RWE) in oncology. RWE, derived from healthcare settings such as electronic health records, insurance claims, and patient registries, offers insights into treatment effectiveness in broader patient populations beyond the controlled conditions of clinical trials. The authors highlight how RWE complements traditional trials by capturing long-term efficacy, safety profiles, and patient adherence patterns, particularly for newer therapies like immunotherapies and targeted treatments.
The article also explores key challenges in utilising RWE, including data variability, standardisation issues, and the need for advanced analytical methods. Since real-world data comes from diverse sources with differing levels of completeness and structure, ensuring its reliability is crucial. The authors discuss how emerging technologies, such as machine learning, are improving data extraction and integration, making RWE a more robust tool for clinical and regulatory decision-making.
Finally, the study emphasises the growing role of RWE in healthcare policy and drug approvals, as regulatory agencies increasingly recognise its value. With improved data governance and analytical frameworks, RWE is poised to further enhance patient care, inform clinical decisions, and support cost-effective healthcare strategies in oncology.