Decision Support for Excipient Risk Assessment in Pharmaceutical Manufacturing

Area of Science:

• Pharmaceutical Sciences
• Drug Delivery
• Materials Science

Background:

• Excipient critical quality attributes significantly impact pharmaceutical product quality.
• Current knowledge of excipient behavior is largely empirical and fragmented across various sources.
• The complex behavior of excipients presents numerous failure modes dependent on dosage form and manufacturing methods.

Purpose of the Study:

• To describe a novel decision support system for assessing excipient risk in pharmaceutical formulations.
• To enable formulators and regulators to better evaluate risks associated with excipient usage.
• To provide an interactive platform for accessing and utilizing structured data on excipient behavior.

Main Methods:

• Development of the Excipient Risk Assessment System (ERAS) database.
• Implementation of a decision support processor for managing formulation scenarios and risk assignment.
• Inclusion of expert-provided data on formulation, risk assessment, excipient compatibility, functionality, dosage forms, and manufacturing methods.

Main Results:

• The system integrates knowledge on factors affecting formulation design.
• It allows for the assessment of compatibility among excipients, functionality, dosage forms, and manufacturing methods.
• Interactive risk assessment reports are generated, aiding user exploration and decision-making.

Conclusions:

• The Excipient Risk Assessment System provides a structured approach to managing excipient-related risks in pharmaceutical development.
• Standardized data access and scenario analysis enhance formulation design and regulatory evaluation.
• The system facilitates improved understanding and prediction of excipient performance across diverse pharmaceutical contexts.