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Data integrity considerations in Pharma and Life Sciences

European Pharmaceutical Review

This can be achieved by implementing electronic systems with built-in controls to maintain data integrity, audit trails and access controls. Good documentation practices. Following good documentation practices (GDP) throughout all stages of data generation, collection, analysis and reporting is vital.

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Achieving commercial excellence with data-driven decisions

pharmaphorum

Apart from manual transfers of documents between colleagues, the data is relegated to one’s hard drive and can’t be queried at scale to evaluate performance or to inform future projects. This requires extensive planning; such wide-ranging analyses take years to orchestrate and include countless data sources.

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How data is crucial to the relaunch of the Cancer Moonshot

pharmaphorum

It also enhances the patient experience with easy-to-understand clinical trial information, such as a video about the Biobank study, as well as informed consent documents for electronic signature,” he continued. This was delivered through a patient-centric video about the Biobank study presented to the patient on an iPad, Lee explained.

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Advancement through adversity: how Covid-driven innovations are becoming best practices for pharmacovigilance

Pharmaceutical Technology

The following is adapted from a presentation given by Dave Par é and Silvio Scozzari at the DIA 2022 conference. After AEs are recorded, they must be translated and put back out to doctors and scientists for processing. Adapting pharmacovigilance to deal with surging case reports.

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Methodology to Define a Pharma 4.0™ Roadmap

ISPE

The key to data integrity compliance is a well-functioning data governance system 1 , 2 in which the data flow path for all business processes and equipment—such as in manufacturing, laboratory, and clinical studies—is fully understood and documented by a detailed process data flow map. to Industry 4.0 April 2015.