Elevating Traditional Drug Production Through Advanced Data Integration and AI Analysis
Quantifiable Impact:
- A key breast cancer medication saw a 4% uptick in production efficiency
- Enhanced decision-making processes
Pharmaceutical manufacturing involves complex processes that can significantly benefit from data-driven improvements. A leading pharmaceutical laboratory aimed to leverage their existing data for enhanced drug production. Despite having a wealth of data, they faced challenges such as fragmentation across multiple systems and reliance on outdated formats like spreadsheets and paper notes.
Goals
The core objective was to elevate drug manufacturing efficiency through smart data utilisation, with specific targets as follows:
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Data Integration: seamlessly combine fragmented lab data into a unified structure
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Digital Transformation: migrate from traditional data recording to a comprehensive digital format
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AI-Powered Insights: employ advanced Artificial Intelligence techniques for actionable data interpretation
Our Solutions
Sentium addressed these challenges through a multi-layered approach:
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Unified Data Infrastructure: utilised cloud technologies to integrate various laboratory data systems into a centralised platform
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Digitisation: Employed Optical Character Recognition (OCR) for transitioning handwritten notes into digital formats
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Custom AI Models: designed and trained bespoke Artificial Intelligence algorithms to interpret complex lab data and deliver insights for manufacturing optimisation
Impact
The intervention led to profound operational improvements:
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Enhanced Processes: robust data analytics empowered the company to implement numerous refinements in their manufacturing protocols
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Increased Efficiency: specifically, a key breast cancer medication saw a 4% uptick in production efficiency
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Harmonised Data: our work culminated in a unified data structure across the lab, streamlining access and decision-making