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Pre-Announced vs. Unannounced FDA Drug Inspections: How Surprise Visits Change Enforcement Outcomes: Poster Presented
Michael de la Torre1, Yelena Ionova2, Barry Price2
1Redica Systems michael@redica.com.
PDA Journal of Pharmaceutical Science and Technology
|August 7, 2026
Summary
Modernizing pharmaceutical quality oversight requires predictive intelligence over traditional audits. Integrating diverse data sources with AI risk scoring enables early detection of supplier issues, preventing disruptions and regulatory actions.
Area of Science:
- Pharmaceutical Manufacturing
- Supply Chain Management
- Regulatory Compliance
Background:
- Current external manufacturing oversight relies on outdated methods like retrospective audits and subjective risk scoring.
- Fragmented oversight processes and numerous Contract Manufacturing Organization (CMO) and Active Pharmaceutical Ingredient (API) partners lead to delayed problem detection, resulting in supply disruptions and regulatory actions.
Purpose of the Study:
- To explore the application of predictive intelligence in modernizing supplier oversight within the pharmaceutical industry.
- To demonstrate how unifying diverse data sources can create a system of intelligence for early risk signal detection.
Main Methods:
- Unifying structured and unstructured data, including inspections, deviations, recalls, enforcement documents, audits, batch records, and change controls.
- Utilizing hazard models and Artificial Intelligence (AI)-based risk scoring to quantify the likelihood of adverse events.
- Implementing near real-time monitoring, automated alerts, and data-driven recommendations.
Main Results:
- Predictive intelligence enables the quantification of risks such as recalls, enforcement actions, or supplier disruptions weeks to months in advance.
- Real-world use cases show large pharmaceutical organizations reducing surprises, optimizing audit targeting, and enhancing supplier selection.
- The shift from static dashboards to dynamic, data-driven oversight is highlighted.
Conclusions:
- Predictive intelligence offers a proactive approach to pharmaceutical supplier oversight, moving beyond traditional reactive methods.
- AI-driven risk scoring and integrated data systems significantly improve the ability to anticipate and mitigate supplier-related risks.
- Modernized oversight enhances supply chain resilience and regulatory compliance for pharmaceutical companies.
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