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Important factors to consider when working with CRFs

pharmaphorum

They must also comply with regulatory requirements, such as those defined by the FDA. Well-designed forms must: Gather data that’s complete, accurate, and of high quality. Well-designed forms must: Gather data that’s complete, accurate, and of high quality. Be unambiguous and allow for accurate data entry.

article thumbnail

Important factors to consider when working with CRFs

pharmaphorum

They must also comply with regulatory requirements, such as those defined by the FDA. Well-designed forms must: Gather data that’s complete, accurate, and of high quality. Well-designed forms must: Gather data that’s complete, accurate, and of high quality. Be unambiguous and allow for accurate data entry.

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Intelligent Automation in Pharmaceutical Industry (AI & ML)

PharmaShots

The article focuses on the integration of automation with Artificial Intelligence (AI) and Machine Learning (ML). This article provides an informative account of intelligent automation, the key differences between AI & ML, their importance, and a potent eight-step roadmap to implementation.

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Data Integrity in the Pharmaceutical & Life Sciences Industry

Viseven

All of it is done to assure data integrity—the glue that holds together all measures and actions performed to keep the data safe, error-free, and complete. In our new article, you will learn more about data integrity in the pharmaceutical and life sciences industry and why maintaining it matters so much.

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Methodology to Define a Pharma 4.0™ Roadmap

ISPE

™ Roadmap Emmie Heeren AREND JAN WASSINK Venkateshwar Rao Nalluri, PhD Sebastian NIEDERHAUSER 1 May 2023 In the context of data integrity, data flows are essential. The FDA, PIC/S, and WHO have all emphasized the importance and benefits of data flows in their guidance on data integrity. ™ environment.