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Achieving commercial excellence with data-driven decisions

pharmaphorum

Executing an effective commercial success strategy requires extensive planning and implementation within pharmaceutical companies that spans teams, functions, and geographies. Together, these groups compile vast amounts of data, including rich information on patient populations, target customers, and the competitive landscape.

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Dangerous data delays – a real-time problem

pharmaphorum

Delayed clinical trial data delivery is a growing problem for pharmaceutical companies and one that can have catastrophic consequences for the development of their promising pipeline candidates. The pharmaceutical industry faces continual pressure to optimise clinical trials, maximise returns and minimise risk.

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Will AI Replace Pharma Jobs? What Experts Predict

Pharma Marketing Network

Table of Contents The Rise of AI in Pharma Roles Most at Risk (and Why) Emerging Opportunities Through AI Strategic Adaptation for the Pharma Workforce Conclusion FAQs The Rise of AI in Pharma Artificial intelligence is reshaping how pharmaceutical companies operate. Which pharma roles are most affected by AI?

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RFID: The future of smart labelling?

Pharmaceutical Technology

As computing has developed in the past decade, so has the potential to store and use information in the cloud. Fresenius Kabi is a global healthcare company specialising in medicines and technologies for infusion, transfusion and clinical nutrition. In 2020, Fresenius Kabi introduced their first RFID-enabled medication, Diprivan +RFID.

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Considerations for safety data migration methods

European Pharmaceutical Review

Pharmaceutical companies regularly transfer databases as they shift to new systems or change service providers in pursuit of higher quality and increased efficiency. These database transfer activities must follow industry standards and pharmacovigilance regulation, which has become increasingly stringent over the last decade.

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Intelligent Automation in Pharmaceutical Industry (AI & ML)

PharmaShots

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. Covering all the AI-based pharmaceutical companies is beyond the scope of this article. With the impelling Pharma 4.0,

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Data Integrity in the Pharmaceutical & Life Sciences Industry

Viseven

It is a critical aspect of any organization, as data integrity makes data valuable, enables informed decision-making, and ensures adherence to life sciences and pharmaceutical regulations. Proof of data quality Data integrity is a direct reflection of data quality.