Process Mining Insurance Claims and Rework | ProcessMind

Start with claims segments

Process mining insurance work starts with segments: average claims handling time can mask very different paths. A straightforward claim, one waiting for information, and one that needs repeated reviews can all contribute to the same average. With Process Mining, you can separate these variants, compare handling time and rework by segment, and see where each type of claim gets delayed.

That distinction matters when you set a target. If one segment drives most of the delay, a single process-wide goal may miss the cause or put pressure on the wrong cases. ProcessMind helps you analyze event data to see how work moves across claims, underwriting, policy service, and customer service.

Why does claims handling time vary?

A claim can move through different activities, teams, and systems depending on its circumstances. Some cases follow a direct path; others wait for information, move between teams, or return to an earlier step for rework.

Process Mining connects event data to each case, its activities, timestamps, and attributes. Use those attributes to compare segments, such as claim type or other fields in your data. The analysis shows which variants take longer, where cases wait, and how often work repeats.

What can you measure by segment?

Compare measures that help explain handling costs and leakage instead of relying on a single overall average:

• Handling time: Compare end-to-end duration and time between activities across claim segments.
• Waiting time: Find where cases spend time between steps or teams.
• Rework: Identify repeated activities and paths that return to earlier steps.
• Handoffs: See how cases move between teams and where transfers coincide with delays.
• Process variants: Compare the paths different case types follow and how their outcomes differ.

These measures help you investigate where delays or repeated work may contribute to higher handling costs or leakage. They do not determine claim outcomes or make claims decisions.

How do you separate claims variants?

Start with a focused question, such as why a particular group of claims takes longer to handle. Use case attributes in your event data to define segments, then compare the paths and measures for each group.

For example, compare claims that follow a direct path with claims that include an information request or repeated review, if your data records those activities. Check whether the difference comes from waiting, additional handoffs, or rework. Validate your interpretation with people who know the process before deciding what to change.

How can you test a process change?

Once you understand the variants, model a proposed change and use process simulation to compare scenarios. Test the effect of a rule, routing, or capacity change before applying it, using measures such as handling time, backlog, and rework.

Simulation informs your decision; it does not change live claims or automate claims decisions. Learn more about process simulation.

What data do you need to get started?

Choose a claims process and a question you can answer with your event data. A useful event log includes:

• A case identifier for each claim
• Activity names that describe the steps taken
• Timestamps for those activities
• Relevant case attributes for comparing segments

The quality of your data and the fields it contains determine which segments you can compare. Start with a manageable scope, review the results with process owners, and refine your analysis before using it to support a business case.

For a practical overview of the data structure, read how to create a process mining event log.

How does process mining insurance analysis help claims teams?

Process Mining shows where work differs across cases and where delays, handoffs, or rework occur. Use that evidence to focus improvement efforts on the segments and steps with the clearest operational impact.

ProcessMind also supports process mapping, so you can document the intended flow and compare it with the process your data reveals. See how to analyze your process for a practical approach to finding bottlenecks.

How do you build the business case?

Choose a defined claims segment and set a clear baseline. Document the handling time, waiting, and rework you observe, then connect those findings to the operational question you need to answer. State the scope and data limitations clearly so decision-makers can distinguish measured results from assumptions.

For a structured approach, read the process mining business case guide.

What is the next step?

Start with one claims segment and a focused question. A single claims data extract can show handling time and rework to support your business case.

Analyze one claims segment