Definition

Continued process verification is the ongoing collection, review, and evaluation of process data during routine production to confirm that a validated manufacturing process remains in a state of control.

CPV does not replace process qualification. It extends process validation beyond initial qualification by using routine manufacturing and quality data to detect trends, variability, drift, and opportunities for improvement.

Why Is Continued Process Verification Important?

Continued process verification (CPV) provides ongoing evidence that a commercial manufacturing process remains in a state of control after process performance qualification. By monitoring meaningful process parameters, quality attributes, and sources of variability over time, CPV helps detect drift early and supports investigations, annual product review, change evaluation, and process improvement.

• Provides ongoing assurance that the process remains controlled.
• Supports science- and risk-based lifecycle process validation.
• Helps detect drift, variability, and emerging trends.
• Connects manufacturing data to quality decisions and continuous improvement.
• Supports annual product review, deviation investigation, and change control decisions.

What Does Continued Process Verification Include?

A CPV program should identify critical and key parameters and attributes, data sources, sampling frequency, statistical methods, alert and action criteria, review responsibilities, escalation pathways, and reporting expectations. The plan should explain how trends, deviations, out-of-trend signals, and process changes feed into the pharmaceutical quality system and the process validation lifecycle.

CPV plan

The plan identifies monitored parameters, quality attributes, data sources, responsibilities, review frequency, acceptance expectations, and escalation pathways.

Data collection and integrity

Data sources may include batch records, historians, LIMS, MES, quality systems, laboratory results, deviations, and environmental or utility monitoring systems.

Trend review and evaluation

Teams review data against expected performance, alert limits, action limits, control charts, capability measures, or other justified tools.

Response and improvement

When trends or signals occur, the organization should evaluate root cause, impact, corrective action, preventive action, change control, or process improvement opportunities.

Common Continued Process Verification Challenges

• The CPV plan monitors too many variables without clear risk prioritization.
• Data sources are manual, inconsistent, or difficult to reconcile.
• Alert and action limits are not justified.
• Trends are observed but not escalated or investigated.
• CPV findings are not connected to change control or process improvement.

Best Practices for Continued Process Verification

• Focus monitoring on parameters and attributes that matter to process performance and product quality.
• Use reliable, reviewable data sources and clear ownership.
• Define alert and action expectations before routine review.
• Document trend conclusions and follow-up decisions.
• Use CPV output to support lifecycle validation, annual product review, and continuous improvement.

How Mangan Biopharm Supports Continued Process Verification

Mangan Biopharm helps organizations develop CPV strategies, identify meaningful process and quality data, build monitoring plans, support validation data management, review trends, and connect CPV findings to process validation lifecycle control.