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Data cleaning and harmonisation: A catalyst for innovation

Express Pharma

Human sci- entists are tasked frequently with identifying then rectifying issues hidden in data that technology is not equipped to address sufficiently. This is where the complementary processes of data cleaning and data harmonisa- tion play a pivotal role in optimising workflows, each addressing distinct but interconnected challenges.

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Typical GMP documentation in a quality control laboratory

GMPSOP

In other word, you need GMP documentation specially developed and used for your laboratory to guide you through everything you do in the lab. Depending on the objective of the lab, the need for GMP documentation will change for the laboratory. The significance of well-designed GMP documentations is immense.

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Why intelligent automation is the future for regulation

pharmaphorum

To improve data confidence regulatory executives should take a four-step approach to change how they: Collect Data: Life sciences organisations should utilise cloud-based solutions with global access that facilitates one repository with a single source of truth and eliminates the use of local file sharing and servers.

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How to implement good documentation practice in a GMP regulated plant

GMPSOP

Table of Contents Good documentation practice requires a system for control, implementation, maintenance and archival of GMP related documents and records. To implement good documentation practice and systems the site must assure that GMP documents and records are adequate, approved and in compliance with applicable GMP requirements.

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Life in phase III: How effective data management can support NHS Trusts to hit their targets

pharmaphorum

This document, which went out at the end of July, outlines exactly what providers need to be doing. While there are a number of variables, including clinical and physical capacity, post-COVID-19 social distancing restrictions and scheduling logistics, there is one common thread that ties them all together – data.

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Will AI Replace Pharma Jobs? What Experts Predict

Pharma Marketing Network

Tasks that are repetitive, data-heavy, or rules-based are most vulnerable. For example, medical data entry, pharmacovigilance documentation, and basic regulatory filing are increasingly handled by intelligent systems. Which pharma roles are most affected by AI? Can pharma marketers benefit from AI?

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Achieving commercial excellence with data-driven decisions

pharmaphorum

Together, these groups compile vast amounts of data, including rich information on patient populations, target customers, and the competitive landscape. But after months of effort, in most cases, the usefulness of this data begins and ends in a static slide deck or spreadsheet.