Tag: regulatory science

Case Studies: Data Quality & Provenance That Changed Regulatory or Payer Decisions Case Studies: Data Quality & Provenance That Changed Regulatory or Payer Decisions The realm of clinical trials has evolved significantly, not only in terms of design but also in the methodologies employed to ensure data quality and provenance. This tutorial guide provides clinical…

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Integrating Data Quality & Provenance With Clinical Trials, RCTs and Hybrid Designs Integrating Data Quality & Provenance With Clinical Trials, RCTs and Hybrid Designs The clinical trial landscape is evolving with the integration of data quality and provenance, particularly in the context of at home clinical trials. As clinical operations, regulatory affairs, and medical affairs…

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Data Models, Standards and Metadata Needed for Strong Data Quality & Provenance Data Models, Standards and Metadata Needed for Strong Data Quality & Provenance As clinical trials increasingly expand into real-world evidence (RWE) and observational studies, ensuring data quality and provenance has never been more critical, especially in the context of clinical trials for dental…

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Data Quality & Provenance: Best Practices for High-Validity Real-World Evidence Data Quality & Provenance: Best Practices for High-Validity Real-World Evidence Real-world evidence (RWE) plays a crucial role in the landscape of modern clinical research, especially for conditions such as schizophrenia, where clinical trials can be complex and resource-intensive. This article serves as a thorough step-by-step…

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How to Design Data Quality & Provenance for FDA, EMA and HTA Acceptance In the landscape of clinical research and trials, ensuring data quality and provenance is critical for regulatory acceptance and decision-making. Regulatory bodies such as the FDA (U.S. Food and Drug Administration), EMA (European Medicines Agency), and health technology assessment (HTA) agencies closely…

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Data Quality & Provenance in Practice: Step-by-Step Guide for Real-World Researchers In the landscape of clinical trials, data quality and provenance are vital for maintaining integrity and ensuring compliance with regulatory standards. This comprehensive guide aims to assist clinical operations, regulatory affairs, and medical affairs professionals in the process of recruiting patients for clinical trials…

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Common Biases in Data Quality & Provenance—and How to Correct Them In the complex landscape of clinical trials, ensuring data quality and provenance is paramount for regulatory compliance and accurate study outcomes. This comprehensive guide examines common biases encountered in data quality and provenance, specifically focusing on patient enrollment in clinical trials. It serves as…

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Aligning Data Quality & Provenance With Regulatory and HTA Expectations In an evolving landscape of clinical research, the significance of data quality and provenance has never been more critical. With the increasing emphasis on real-world evidence (RWE) and observational studies in regulatory submissions, understanding how to align these elements with regulatory and Health Technology Assessment…

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