Pharmaceutical Industry Encouraged to Use AI for Enhanced Regulatory Compliance

The pharmaceutical industry is renowned for its stringent regulatory demands. To adapt to the evolving landscape of compliance requirements, it needs the help of cutting-edge technologies. According to pharmaphorum, a pharmaceutical and healthcare news platform, one such technological solution could be natural language processing (NLP).

NLP is an advanced artificial intelligence-based technology that makes data extraction and analysis from regulatory documents much more efficient. Its text mining capabilities in deciphering unstructured text into structured, actionable insights provide a powerful tool for pharmaceutical companies to streamline compliance efforts.

Traditionally, staying compliant within MedTech and pharmaceutical industries has entailed considerable investments of time, resources, and finances. With the advent of NLP, companies now have the opportunity to access critical data efficiently, resulting in heightened regulatory accuracy and potentially reducing costs.

As the article explains, NLP’s unique ability to process vast amounts of textual data is streamlining the landscape of drug discovery and development. The technology automates the extraction of key information without manual intervention. That, in turn, helps pharmaceutical companies extract hidden insights, uncover relationships, and identify assertions that would otherwise remain buried in massive volumes of textual information.

This ability to extract meaningful conclusions from large quantities of data also allows NLP to help drug manufacturing businesses manage regulatory compliance. Leading pharmaceutical companies are embracing the technology to expedite regulatory compliance activities. These include enhancing labelling processes, standardising regulatory data, integrating with master data management systems, and catalysing digital transformation in regulatory procedures.

According to the article, NLP is becoming an indispensable asset across various regulatory disciplines, and regulating labelling is the first one. The technology aids labelling teams in finding reference information for disease terms, contraindications, adverse events, special populations, and more from drug labels issued by regulatory authorities.

NLP also helps with regulatory intelligence, where access to a comprehensive spectrum of regulatory updates is vital for regulatory teams. It encompasses both internal documents such as corrective and preventive actions, and external documents like regulatory guidelines and FDA communications. AI-powered regulatory monitoring platforms like RegASK are proving quite useful in helping pharmaceutical companies stay informed about compliance requirements. The company’s guide to creating a successful regulatory strategy mentions keeping up with changes in regulations as one of the biggest challenges faced by businesses. It also confirms that AI-powered automation is the obvious solution.

NLP can also be invaluable for regulatory mapping, where it can assist compliance teams in extracting critical data attributes from unstructured texts and mapping them to global standards such as Identification of Medicinal Products (IDMP).

The article goes on to discuss pharmaceutical businesses that have successfully implemented NLP and the results they’ve achieved. For instance, a prominent pharmaceutical firm harnessed NLP to optimise product development, supply, and post-market compliance. By structuring and analysing data from various sources, the company gained insights into risk management, which were visualised for effective decision-making.

Another pharmaceutical company introduced NLP-powered workflows to automate information acquisition and summarization. That led to a more efficient regulatory monitoring process. Integrating NLP with Large Language Models empowered the company’s teams to make well-informed decisions.

As the pharmaceutical landscape continues to evolve, effective access to regulatory guidance and safety intelligence remains critical. NLP’s role in transforming vast volumes of data into actionable insights is proving invaluable. This technology not only enhances regulatory compliance but also supports strategic business decisions with robust evidence.

Pharmaceutical companies worldwide are acknowledging the potential of NLP as a game-changer in the regulatory arena. By harnessing the power of AI-driven NLP, these companies are poised to strengthen compliance efforts, reduce costs, and accelerate their journey towards a data-driven future.

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COMTEX_438165260/2764/2023-08-10T10:53:41