To bring this into reality, pharmaceutical PV organisations need to move into a “digitalised future” where technology plays a key role in PV processes. This includes automating and streamlining the information streams to reduce complexity, from case processing to reporting. Once automated, companies need to begin to look to artificial intelligence to add further value from their data.

By applying artificial intelligence (AI) and data science approaches, organisations can turn the overabundance of data from being a challenge to solve, into an opportunity. A well-designed, automated, AI-powered PV system can not only eliminate tedious and repetitive tasks but also reduce human errors and analyse massive volumes of data efficiently. This can even empower teams with predictive signal detection capabilities with insights derived from integrating disparate big data sources. Ultimately, this can enable specialists to make more informed observations and recommendations on product safety.

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