From Challenge to Milestone: Streamlining Drug Production
Quantifiable Impact:
- 70% drop in misclassified deviations
- Over $1M in cost savings
- Full FDA/EMA compliance
- Streamlined decision-making
Legacy systems in drug manufacturing often obscure key data, particularly in deviation and unplanned event reporting. Our partner, a prominent drug manufacturer, faced this challenge, compounded by human and equipment errors. Our intervention focused on converting these unstructured data into structured, actionable insights.
Goals
- Structure Data: transform unstructured technician reports into actionable, structured formats
- Ensure Accurate Categorisation: develop a system for precise event classification, allowing for more targeted preventive measures
- Enhance Reporting: revise reporting mechanisms for clarity and preventative foresight.
Our Solutions
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Data Integration: utilised cloud technology for a unified data foundation
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NLP Analysis: deployed Natural Language Processing (NLP) AI models for precise deviation classification
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Validation: undertook rigorous testing to ensure the solution's efficacy and reliability
Impact
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Enhanced Decision-making: sharper categorisation tools led to more informed decisions
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Process Streamlining: our solutions enabled quick issue identification and resolution, saving resources
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Compliance: aligned company practices with FDA and EMA standards
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70% Reduction in Misclassifications: led to superior process control and improved quality outcomes
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$1M+ in Cost Savings: our strategies contributed substantially to both financial and quality objectives