Process Mining for Life Sciences Compliance

How can life sciences teams document process compliance?

Process mining shows how work actually happens across life sciences operations, based on execution data. Compare those paths with your approved BPMN 2.0 standard, identify deviations, and export traceable evidence for inspection readiness. ProcessMind helps you document process execution. It does not validate your systems or replace your quality processes.

Why does process evidence matter in life sciences?

In pharma and life sciences, you need to show how actual work compares with approved procedures. Assembling that evidence can take weeks when process data is spread across LIMS, ERP systems, quality platforms, and operational logs.

Manual reviews and sampling can miss exceptions, rework, and less common process paths. Those gaps make it harder to see where actual execution differs from the documented process.

Process mining analyzes event data to show the paths cases actually take. Use these insights to investigate deviations, support CAPA follow-up, and prepare evidence for internal and external reviews.

How do you identify process deviations?

Start with a process tied to a clear compliance or quality question, such as batch release, deviation management, change control, or clinical operations. Use available event data to reconstruct execution and examine process variants, timestamps, handoffs, and rework.

Compare these patterns with the expected process to find where cases diverge from the approved flow and gather evidence for investigation. The analysis supports your review; your quality and validation teams determine whether a deviation exists and what action to take.

How do you compare execution with the BPMN 2.0 standard?

Document the expected process in BPMN 2.0, including activities, decision points, roles, and controls. Then compare the model with observed execution to see where actual paths differ.

Use BPMN modeling to define and maintain your process model. The Clarity Engine helps you interpret process behavior as you investigate variants and deviations. For guidance on comparing execution with a model, see the conformance checking documentation.

What evidence can you prepare for inspection readiness?

Export analysis evidence to support review and follow-up. Depending on your data and analysis, it can include deviation details, process variants, timestamps, and KPI views that help explain what happened.

Keep evidence linked to the process standard and underlying event data. This traceability can help your team explain how it assessed execution and where further investigation is needed. ProcessMind provides process evidence; it does not determine regulatory compliance or replace your quality system.

To learn how process evidence can support an audit, see the auditor use case.

How can process mining support CAPA follow-up?

Use process analysis to see whether execution patterns linked to a deviation change after corrective or preventive action. Compare process behavior over time and review relevant KPIs to support follow-up.

The analysis can show where variation persists or a process path has changed. Your quality team remains responsible for assessing the cause, deciding on CAPA, and determining whether the action is effective.

How does process mining support data integrity?

Process analysis depends on the event data you provide. Review source coverage, timestamps, identifiers, and data transformations to understand what the analysis shows and where its limits are.

ProcessMind can help you examine execution using available data, but it does not certify data integrity or validate the systems that generate or transform that data. Your established data governance and validation controls remain essential.

What should you consider before starting?

Analysis results depend on data quality, process complexity, and review scope. Before you begin, agree on:

• The process and cases you want to analyze.
• The approved process standard you will compare against.
• The event data and attributes needed to reconstruct execution.
• The deviation criteria and KPIs your team will review.
• The evidence your auditors expect to see.

Process mining supports compliance management, but it does not replace validation activities, your quality system, or regulatory judgment. For practical guidance on preparing event data, see the process mining data documentation.

How do you get started?

Choose one process with a clear compliance question. Connect the relevant data, reconstruct execution, and compare the main variants with the approved standard. Use the results to create a deviation list and agree on what needs investigation.

Once you have a reliable baseline, extend the analysis to related processes and monitor relevant KPIs. For a broader introduction, read what process mining is.

Produce one deviation report