How the Cloud, Advanced Analytics, and Better Data Flow are Transforming Pharmaceutical Quality Control
Today’s competitive global market demands agility at every organizational level, and quality control shouldn’t be an exception. Product testing and documentation have been managed the same way for so long that it may be challenging to envision change.
However, the increased complexity — of products, manufacturing, and supply chains — demands data-based approaches to quality control (QC) that enable seamless transactions, freeing analysts and operators to focus on core requirements rather than paperwork.
In traditional QC workflows, manual data entry and transfer generate one error per 100 entries — whether for sample logging, test requests, instrumentation setup, or calculations in spreadsheets or laboratory information management systems (LIMS). A data-centric approach will automate data flow, sending data directly to and from instrumentation, streamlining transfer to LIMS, and reducing errors by eliminating manual processes.
Veeva and TetraScience are working together to optimize data flow and establish a strong foundation for modernizing QC. Using Veeva’s cloud-based Vault LIMS and TetraScience’s Scientific and AI Cloud, the partnership’s goal is to unify and enhance data handling in QC to automate processes, improve efficiencies, and free operators to focus on the science crucial for their jobs rather than reviewing paperwork.
This new data foundation will use Vault LIMS, which connects QA and QC data, allowing QC transactions to run more efficiently at the operator level and beyond. Combined with Tetra Scientific Data and AI Cloud, scientific data workflow improves and bridges gaps between transactional QC data and advanced analytics, introducing intelligence and efficiency into work processes. As a result, teams will become more productive and proactive, gaining data-based insights into the sources of inefficiencies and errors to prevent them.
The need to unify disconnected solutions
Today, QC analysts juggle diverse functions. They manage samples, environmental monitoring and stability programs, and documentation. They review huge volumes of data to spot problems and report on trends. Then, when there is a supply-chain event or deviation, they must change course and reprioritize efforts quickly.
Agile responses are challenging in QC labs that still manage GMP data on paper. However, attempts to modernize QC labs without changing their fundamental approach to data and transactions have only complicated the picture. They have added disconnected point solutions, each designed to solve a single problem and held together by brittle interfaces or “human middleware.” The result is duplicated data across different systems.
Driving QC innovation and a seamless user experience
Vault LIMS consolidates today’s fragmented application landscape, providing a unified foundation for QC. By connecting business processes to quality assurance (QA), it also creates a seamless, end-to-end experience for users. Instead of working from separate systems, each limited to performing one specific action, Vault LIMS users can work on diverse functions, harnessing one technology foundation and a complete data set. This modern approach enables them to organize and execute their work more efficiently, and to pursue the QC insights they need.
Our shared vision at Veeva and TetraScience is to revolutionize QC through data-centric, automated, and integrated workflows. By removing silos and enhancing data utilization, we enable labs to operate more efficiently, reduce risks, and gain valuable insights, ultimately driving scientific progress.
As we continue to innovate and collaborate, we remain committed to enabling science and transforming QC processes for a more efficient and insightful future.
Watch this webinar to learn more about how cloud and AI are transforming pharmaceutical quality control.