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Pharmaceutical firms can use automation to improve quality assessment by minimizing manual documentation labor, eliminating margin errors, and automatically checking batches or samples for quality.
FREMONT, CA: The pharmaceutical sector sits at a crossroads where technology and subject matter expertise meet. Scientists and top executives at pharmaceutical businesses are looking at the latest technology, such as complete digitalization of processes, automation in manufacturing units, and big data and machine learning to keep track of records.
The pharmaceutical industry's processes and operations adapt to improve accuracy while reducing effort and time consumption with the passing time. On the other hand, quality control is a very complex sector in which even minor mistakes can have serious health effects. Take a closer look at how technology is helping to transform quality control practices in the pharmaceutical industry.
The Automation Effect: Error Mitigation, Process Time Reduction, and Effort Saving
Automation in pharmaceutical manufacturing has been debated for a long time, but this technical innovation is a boon to quality control. Pharmaceutical firms can use automation to improve quality assessment by minimizing manual documentation labor, eliminating margin errors, and automatically checking batches or samples for quality.
Digitized Change Control Management: Quickly assess quality in the event of any changes
Throughout its history, drug manufacturing undergoes adjustments. These modifications are manually recorded and conveyed to various stakeholders in a conventional quality control lab, conducting tests and drawing insights. These findings also influence the revisions that must be made to a batch of work in progress. Changes may be conveyed in a central system with the help of a digital ERP (Enterprise Resource Planning) system, and all stakeholders can analyze real-time quality data. This enables record maintenance to easily refer to important papers during quality inspections, which speeds up the quality assessment process.
Building a Centralized Database for Improved Visibility in QC Labs Using the Internet of Things (IoT)
Manual labor is required in most traditional pharmaceutical quality control departments, and quality control and quality assurance work in tandem. However, the time-consuming nature of the job at hand—manual documentation, record-keeping for individual drug components, random testing records, call-back records, and so on—creates caveats and raises the margin of error. The IoT aids in the creation of a blueprint for various processes by allowing device integration to feed in relevant data and insights. This aids in preserving transparency throughout the quality control and pharmaceutical quality assurance processes at all levels.