Chromatography Digital transformation of the pharmaceutical industry:
The role of chemistry software tools Baljit Bains, Advanced Chemistry Development, Inc (ACD/Labs)
Over the last decade, there has been a big push in the pharmaceutical industry toward digital transformation. More recently, it has been fuelled by the COVID pandemic when there was a greater realisation that it was both necessary and possible to access data without physically being in a lab. The need to implement digitalisation of processes is further driven by the increasing gap between the demands of the industry and the capabilities of conventional systems.
Although digital transformation can be complicated to achieve, if implemented properly it can have transformative effects on drug discovery, development, and manufacturing processes. Digitalisation of data is key to navigating this dynamic landscape, as it enables the incorporation of appropriate knowledge management, data analytics, machine learning (ML), and artifi cial intelligence (AI) initiatives.
Digitise vs. Digitalise - Why does the distinction matter?
The terms ‘digitise’ and ‘digitalise’ are fundamental elements for digital transformation. Although they possess unique defi nitions, they are often used interchangeably. To optimally leverage each approach, it is essential to grasp the difference between the two concepts.
Digitisation serves as the foundational step in the broader process of digitalisation. It involves the adoption of computerised tools to convert paper documents into digital formats. By digitising data, workfl ows are streamlined, data accessibility and sharing are enhanced, and the laborious, error- prone manual completion of tasks is eliminated. Digitisation of data empowers organisations to leverage advanced technologies and automation in their journey toward digitalisation.
Digitalisation is the transformation of manual processes and operations into digital formats - encompassing tasks like the digitisation of documents, automation of manual tasks, and adoption of data-driven decision-making processes. It is achieved by integrating digital tools and advanced technologies, such as data analytics, cloud computing, ML, AI, etc., to optimise workfl ows.
What is digital transformation
Digital transformation involves strategically integrating digital technologies throughout all aspects of a business’s processes and operations to fundamentally change and optimise them. In the pharmaceutical industry, this can include everything from drug discovery to marketing products. It can be achieved by leveraging digitalised data through the integration of technologies like data analytics (including chemistry software tools), ML, and AI, among others.
Adopting digital transformation requires the evolution of an organisation’s processes to create long-term sustainable digital solutions. To increase the digital capability of Research and Development (R&D) within pharmaceutical organisations, different components must be incorporated, including:
• Data Integration and Management - there must be a system in place to break down silos to collect and integrate data from all scattered sources
• Advanced Analytics - having tools in place (such as data science, AI, and machine learning) to analyse all the collated data and create predictive models to help support informed decision-making
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