Your Pharma Manufacturing City of the Future

The future of pharma is here. Companies throughout the industry are racing to stay up to speed with the latest pharma manufacturing trends. Between the global health crisis and the natural evolution of technology and innovation, organizations are feeling compelled to make significant changes to their operations. Overall, pharma manufacturers are needing to upgrade their systems and strategies for meeting the regulatory guidelines for quality, safety, and efficacy faster and more efficiently. However, this endeavor is not without its share of hurdles.

For example, some of the obstacles that continue to trip up pharma manufacturers include batch records that are:

• Inaccurate
• Illegible
• Incomplete
• Missing

As it is, these records need to be checked multiple times, which is arduous — and errors still manage to slip through the cracks. This results in wasted inventory, longer lead times, and difficulty maintaining compliance. The impact of these pharma manufacturing issues is manifested in product recalls and drug shortages.

Resolving issues and recovering from the subsequent setbacks makes it more of a reach for companies to sustain a competitive position in the market. Many pharma manufacturers are confronting these nuisances head on by digitizing pharma manufacturing operations. One example is the use of electronic batch records (EBR). This is key to overcoming mishaps and production inefficiencies because the technology does not allow errors or missing entries on the records.

Other ways that pharma organizations are leveling up their product development acumen and keeping pace with pharma manufacturing trends is by deploying modernized technologies such as artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). In a nutshell, using historical and new data along with analytical queries and ML algorithms, companies can forecast quality events, maintenance, behavior, trends, etc. A study conducted by Accenture spotlighting corporate executives' outlook on implementing AI revealed:¹

• 84% said they won't achieve their growth objectives without scaling to AI.
• 75% of companies believe they risk going out of business in five years if they don't scale to AI.

In pharma manufacturing, there is an emphasis on efficiency, error and waste reduction, and cost containment measures to meet regulatory and consumer demands. Pharma manufacturing organizations are rising to the challenge by leveraging the technology in modern manufacturing executions systems (MES). A pharma MES helps organizations architect and build their optimal pharma manufacturing operation.

Construct Your Ideal Pharma Manufacturing City

Take this interactive quiz to test your knowledge of pharma manufacturing trends and current events. See how to build your ideal pharma operation by following the many companies gaining a lead position in the market by digitally connecting and unifying all areas of their enterprise.

References:

1. ““AI: Built to Scale,” Survey Report, Ketan Awalegaonkar, Robert Berkey, et al., Accenture Life Sciences.