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Pharmaceutical companies can benefit from quality assessment automation by reducing manual documentation efforts to reduce margin errors and automatically performing a quality check on batches or samples.
FREMONT CA: The Covid-19 pandemic and subsequent quest for a vaccine have demonstrated to the world that, with the aid of technology, it is feasible to witness a never-before-seen accomplishment of developing a promising vaccine candidate for a novel virus in just a few months. Even the numerous clinical trials and related reports are carried out with cutting-edge technology. With powerful Enterprise Resource Model (ERP) models and optimized supply chains, manufacturing and supplying prospective pharmaceuticals to even the most remote corners of other countries is possible.
Below is how technology is reshaping quality control methods in the pharmaceutical industry.
The Automation Effect: Process Time Reduction, Effort Saving, and Error Mitigation
Automation in pharmaceutical manufacturing has been discussed for a long time, but this technological advancement is a boon in quality control. Pharmaceutical companies can benefit from quality assessment automation by reducing manual documentation efforts to reduce margin errors and automatically performing a quality check on batches or samples.
Digitized Change Control Management: Swiftly Assess Quality in the Occurrence of Any Changes
Throughout its archives, drug manufacturing has undergone modifications. These adjustments are manually recorded and conveyed to multiple stakeholders in a traditional quality control lab, conducting tests and drawing insights. These findings also affect the revisions that must be made to a batch of work in progress. Modifications can be communicated in a central system with the help of a digital ERP system, and all stakeholders can examine real-time quality data. This enables record maintenance to quickly refer to important papers during quality inspections, which speeds up the quality assessment process.
Internet of Things (IoT): Generating a Centralized Database for Augmented Visibility in QC Labs
In most conventional pharmaceutical quality control departments, manual labor is required, and quality control and quality assurance work in tandem. Nonetheless, the time-consuming nature of the job at hand—record-keeping for individual drug components, manual documentation, random testing records, call-back records, and so on—creates caveats and raises the margin of error. The IoT helps create a blueprint for various processes by enabling device integration to feed important data and insights. This aids in preserving transparency throughout the quality control and pharmaceutical quality assurance processes at all levels.