Pharmaceutical and healthcare companies are looking to big data to decrease costs in research and development and manufacturing. Big data have the potential to reduce the cost and time of drug trials, to better control patient outcomes with established drugs, and to better design new drugs. Computer programs and algorithms can provide better analytics during the manufacturing processes and stimulate insights to make better decisions in the pharmaceutical industry. Manufacturers gather data on patient responses to drugs during the clinical trials. This data help able to reverse engineer which aspects of a patient subpopulation are associated with responses to drugs.
Serialized trace and track solutions help cope with the immense amount of data generated while providing for complete control and data integrity at all times. Big Data and serialization technology have helped in reducing the turnaround time in scanning, sorting, and loading of products by around 60%. Controlling manufacturing processes continuously and collecting feedback, pharmaceutical companies can monitor factors like temperature and moisture change, therefore decreasing variability in the final product and patient outcomes. Applying AI to performance and feedback response data generated can be used not just to control manufacturing processes, but to improve them through automated machine learning.
Unit-Level Data Generation
Pharmaceutical companies are automating in two major areas:
1. The evolution from batch-based production to item- level production.
2. The collection, management, and utilization of data.
Batch-based processing will be phased out, eventually replaced with unit-level production, with quality checks at each stage. This will be achieved as manufacturing and supply chain processes are automated, and production schedules and maintenance schedules are planned out and regulated based on past data.
Pharmaceutical companies have intensified concerns about traceability, product quality, and process validation. Companies are embracing big data and cloud-based serialized inventory solutions more readily, to stay ahead of innovation, and more easily comply with regulations.
Serialization is playing a role in supporting the trend of smaller, more responsive facilities that concentrate on cost efficiency, flexibility, and speed. Serialization improves internal communications infrastructure with business partners, and throughout the supply chain.
Achieve Sustainability through Serialization
A need related to big data is sustainability. The serialization of pharmaceuticals has been mandated for the Global supply chain for many years. The new compliance is the ability to track from the point of manufacturing up to the consumer-end. Where sustainability enters the equation is that serialization provides a much better window to the manufacturer as the location of the product is visible at every point. This allows us to estimate precise production demand and save from extra usage of material and energy. Serialization increases supply chain visibility and thus adds to the overall control and sustainability of a product.

The need for a Serialized Inventory Solution for Big Data
Big data has many benefits but incorporating it into manufacturing processes poses few challenges. Pharmaceutical companies need to be prepared to handle the large volume of data through serialization and how to organize it best to create a more detailed future.
Researchers recognize that it would be valuable for companies to store data into smart serialized inventory solutions and share this data with partners who can use it to improve the safety and reliability of healthcare production and supply chain. As the competitive nature of the pharmaceutical industry means demands drug security serialized data need to be stored on a single location and is accessible through a single dashboard.
Bottom Line
Serialization provides a standardized process to share and gain insights from the pharmaceutical industries' large volume of product data. Serialized inventory solution in this regard to improve data access and integrity revolutionize the way we acquire share and gain insights from this data. Serialization will change the way to develop, monitor, manufacture, and apply drugs.

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