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Role of Artificial Intelligence in Improving Pharmacovigilance

Jun 7, 2017

Greater emphasis on drug safety is one of the key drivers of the growing demand for pharmacovigilance (PV) software. With the focus on all the major drug regulations being on improving the drug quality and prevention of drug-related problems, pharma companies are increasingly becoming dependent on PV tools. However, the task becomes rather difficult in situations where huge amounts of patient data are being generated on a regular basis. Consequently, a major pain point for most pharma companies face is the execution of foolproof digital vigilance on the data generated.

With AI and machine learning revolutionizing the pharma industry, it’s crucial for pharma companies to keep abreast of the evolving trends. Request a free proposal to learn how we can help.

The lack of efficient and coordinated systems that can seamlessly integrate various data into actionable insights is a concern for most in the pharma industry. It is in this context that artificial intelligence (AI) comes into play. By employing data mining and taking electronic health records (EHRs) into consideration, AI facilitates PV to provide better medication management and improved health assistance.

Role of AI in Pharmacovigilance

AI and Improved Drug Safety

AI can easily decipher the natural human semantics, which means that the chances of blind searches are almost negligible. By straining the irrelevant information and taking the subtext of the data into consideration, AI provides a focused analysis of drug use and patient requirement. As a result, all the integral side-effects of drugs are considered so that the safety of the patients is not compromised at any cost.

For more information on the role of analytics in enhancing drug safety monitoring, request a free demo.

Reliable Monitoring

The whole point of adopting PV is to bring reliable monitoring into the pharma industry. As the internet never sleeps, it becomes even more critical for companies to keep a 24×7 digital vigilance. Not only is AI-based web monitoring better than human supervised ones; its preloaded algorithm also makes it easier for pharma firms to track the online data holistically rather than focusing on bits and pieces.

Most of all, AI adheres to the policies which protect patient privacy. Regulatory compliance is a pain point in the pharma industry. With every geographic region having its set of regulations, the chances of compromising with patient privacy is rather huge. The focus of most players in the pharma industry is not just on producing safe drugs but also adhering to the region-specific regulations. The adoption of AI-enabled PV software provides this critical advantage to players in the pharma industry.

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