SCIE90011 Validation Studies Flashcards

Vocabulary flashcards covering the principles of validation, verification, study design elements, and market testing strategies for biotechnological products.

Validation

The process of demonstrating that the final product or process meets user needs and intended use in the real or simulated-real context, often asking the question "Did we build the right thing?"

Verification

The process of checking that the design outputs meet the design inputs or specifications, often asking the question "Did we build the thing right?"

Analytical / Assay Validation

Validation of measurement methods used to generate data for product performance, release, or process control, focusing on parameters such as accuracy, precision, sensitivity ($LoD$, $LoQ$), linearity, and specificity.

Process Validation

Demonstrating that a defined manufacturing or bioprocess, when operated within specified ranges, consistently produces a product meeting Critical Quality Attributes ($CQAs$).

Process Performance Qualification (PPQ)

A series of runs, such as $3$ consecutive commercial-scale batches, used to demonstrate control over critical process parameters ($CPPs$) and consistency in meeting $CQAs$.

Product / Performance Validation

Assessment to determine if a product delivers its claimed clinical or functional performance in real or realistically simulated use, such as Phase $II/III$ clinical trials for therapeutics.

Usability / Human Factors Validation

The demonstration that intended users can use a product safely and effectively in its intended environment without unacceptable use errors.

Endpoints

Observable, measurable outcomes used to evaluate performance, such as diagnostic sensitivity, specificity, time-to-result, or the proportion of batches within $CQA$ limits.

Success Criteria

Pre-defined thresholds drawn from $URS$, guidelines, or risk analysis, such as a requirement that the "Lower $95\%$ confidence bound for sensitivity $\ge 90\%$".

Bias Control

Design strategies used to prevent distorted results, including blinding, prospective versus retrospective designs, and randomisation.

Sample Size Considerations

Statistical factors determining the size of a study, which depend on the expected effect level, desired confidence in estimates, and acceptable risk of type $I/II$ errors.

Market Testing

The process of evaluating a product's potential success by gathering feedback from a target audience before a full-scale launch to identify issues and optimize marketing strategies.

Beta Testing

A market testing strategy involving the release of a product to a limited audience outside the company to identify bugs and usability issues before a full launch.

Test Marketing

Launching the product in a limited market to gauge its performance and refine features based on real-world feedback before a wider release.

A/B Testing

A method of comparing two versions of a product or feature to determine which performs better in terms of user experience and conversion rates.

Risk-Based Validation

A validation strategy where higher-risk products receive more rigorous testing, influenced by factors like patient safety impact, novelty, and complexity of failure modes.

Observational Studies

A market testing method that involves watching how consumers interact with a product in a natural setting to understand real-world usage and identify unforeseen issues.