LABORATORY INFORMATICS
technologies by now, it’s just a matter of time before these tools become the norm. For businesses, this means that the data management solutions they adopt must not only meet today’s data handling requirements, but also be well-equipped to meet the needs of tomorrow’s data pipeline too. Platforms built on cloud-based
“Automation is ubiquitous in pharma workflows, supporting data collection at ever greater speeds ”
data can be easily and securely shared with colleagues or collaborators. Sharing data with colleagues or collaborators via cloud-based platforms is much more secure than via email, and can be accessed in original format and file type. Cloud-based platforms allow pharmaceutical companies to apply the same data management practices right across their workflows. In doing so, they harmonise the collection and analysis of data. This not only helps to enhance the quality and consistency of pipeline information by applying standardised working practices, it also supports faster decision-making, as teams have access to the same information in a consistent format. With standardised workflows and data management tools through the cloud, organisations can benefit from more efficient working practices, potentially accelerating drug development timelines. Bringing an organisation’s data into a single integrated cloud-based platform also makes it easier to maintain a
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complete audit trail of actions with which to demonstrate regulatory compliance. Fragmented data management platforms can make recalling events for review purposes time- and resource-intensive, as separate systems can require users to perform the same activities multiple times. Using a single overarching platform that allows authorised individuals to search against all user interactions made in the system gives organisations a complete overview of activity. As a result, businesses are better placed to identify unusual or non-compliant behaviour wherever it occurs, helping to maintain the highest standards of data integrity.
Challenge of controlling pharmaceutical data Technological advances over the past decade have rapidly expanded the volume and complexity of pharmaceutical data, and all signs suggest this trend is likely to continue. The digital transformation is revolutionising laboratory connectivity; even equipment such as refrigerators and pipettes are now capable of providing information on environmental and operating conditions. Automation is now ubiquitous in pharmaceutical workflows, supporting the collection of data at ever greater speeds. Even if pharmaceutical companies haven’t fully embraced these
architecture are highly flexible and scalable, allowing pharmaceutical companies to expand their capabilities on their own terms. Some cloud- based platforms, such as the Thermo Fisher Platform for Science software, for example, are based on a modular framework that allows businesses to add specialised ‘apps’ according to their individual needs. This allows LIMS and ELN solutions to be incorporated into the system as and when required. Moreover, because these informatics systems are developed, tested and maintained by independent providers using a cloud- based architecture, new features can be added without the need for extensive changes to internal IT infrastructure. Of course, to get the most from ongoing advances in technology, the data management tools pharmaceutical companies adopt must be capable of supporting new technologies and techniques as they become available. Many of the latest cloud-based platforms are designed to be compatible with instruments from multiple vendors, ensuring complete connectivity, regardless of their existing or future system set-up. By focusing on the long- term use, robust cloud-based platforms provide customers with a clear roadmap for future growth, supporting expansion as and when they are ready to take these next steps.
Meeting the needs of tomorrow’s drug development pipeline The modern pharmaceutical landscape requires businesses to share data effectively with colleagues and partners, while maintaining the highest levels of data integrity. However, continued growth in the volume and complexity of pharmaceutical data means the solutions used to control this information must be sufficiently scalable to support future business expansion. Cloud-based laboratory informatics platforms offer an extensible solution to this challenge, providing the flexible framework businesses need to manage increasingly multi-dimensional data in a regulatory compliant manner, while allowing them to securely share data throughout the pharmaceutical pipeline.
June/July 2019 Scientific Computing World 19
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