A workers’ compensation claim is more than a sequence of forms, approvals, medical appointments and payments. It is a value stream: the connected flow of information, decisions, clinical activity, employer actions and worker support required to move from injury notification to a safe, sustainable return-to-work or appropriate claim closure.
When that flow is poorly designed, the claim can stall between departments, providers, employers and approval points. The injured worker waits, the employer loses capacity, the claims team manages avoidable rework, and claim costs increase.
Value Stream Mapping (VSM) makes these conditions visible. It shows where value is created, where work waits, where information loops backwards and where a bottleneck limits the performance of the whole system. This guide develops a worked VSM case study for a scheme insurer or claims agent processing 850 new claims per month.
Define the Workers’ Compensation Claims Value Stream
The fundamental purpose of the map is to improve the experience and outcome for the injured worker while balancing the Voice of the Customer (VOC), Voice of the Business (VOB) and Voice of the Process (VOP).
- VOC: timely contact, appropriate treatment, income support and a safe return to work.
- VOB: controlled claim cost, regulatory compliance, lower dispute exposure and effective case-manager capacity.
- VOP: stable flow, complete information, predictable decisions and reduced variation.
Scope selection
The selected value stream begins at:
Injury notification and employer report
It ends at:
Sustainable return-to-work or claim closure
The map includes:
- Injury notification and employer reporting
- Initial triage and severity coding
- Liability investigation and decision
- Medical assessment and independent medical examination, where required
- Return-to-work plan agreement
- Payment administration and wage reconciliation
- Ongoing monitoring, stable return-to-work and closure
The scope excludes dispute litigation, court proceedings and extended legal appeals. Those activities may be analysed as a separate value stream because they have different customer requirements, controls and specialist resources.
A cross-functional mapping team should include claims managers, triage staff, employer representatives, return-to-work coordinators, payment specialists, medical-provider liaison staff, data analysts and a process improvement practitioner.
Current-State Map: Where the Claim Loses Momentum
The case study receives 850 new claims per month. With 22 working days per month:
[
850 \div 22 = 38.6 \text{ claims per day}
]
Twelve case managers each have approximately 400 minutes of available case-management time per day:
[
400 \times 12 = 4,800 \text{ minutes per day}
]
Therefore, the demand-based takt time is:
[
4,800 \div 38.6 = 124.3 \text{ minutes per claim}
]
Rounded, the system has approximately 124 minutes of available case-manager capacity per incoming claim. Takt time does not mean every claim should take exactly 124 minutes. It establishes the rhythm required to meet demand and exposes when queues are growing faster than the process can absorb them.
| Current-state step | Average elapsed time | Primary observation |
|---|---|---|
| Injury notification and employer report | 3.2 days | Incomplete information creates downstream requests |
| Initial triage and severity coding | 2.1 days | Classification varies by case manager |
| Liability investigation and decision | 12.4 days | Approval and evidence queues create delay |
| Medical assessment and IME wait | 18.6 days | Provider capacity is not levelled to demand |
| Return-to-work plan agreed | 9.3 days | Planning often waits for complete medical information |
| Payment and wage reconciliation | 4.8 days per cycle | Repeated reconciliation creates administrative load |
The major mapped stages total 50.4 elapsed days, but the average time to stable return-to-work is 96 days. The difference represents monitoring delays, additional appointments, follow-up activity, rework and unresolved queues between formal process steps.
The total value-added or active process time is only 6.4 hours. Using an eight-hour working day:
[
96 \times 8 = 768 \text{ elapsed working hours}
]
[
6.4 \div 768 \times 100 = 0.83%
]
The current flow efficiency is therefore under 1%. In practical terms, most of the claim’s life is spent waiting for information, decisions, appointments or the next available action.
Additional baseline data shows:
- Average claim cost: $18,400
- Dispute rate: 12%
- Information rework loops: 31% of claims
- Medical appointments rebooked: 26%
A time observation sheet can separate genuine case-management work from waiting, searching, duplicate data entry and follow-up. The map should also record first-pass yield for complete reports and rolled throughput yield across the full sequence.
Identify the Eight DOWNTIME Wastes
The DOWNTIME framework provides a disciplined way to examine waste without blaming individuals.
- Defects: incomplete employer reports, incorrect wage details and inconsistent severity coding.
- Overproduction: repeated status updates, duplicate data requests and unnecessary reports.
- Waiting: the most significant waste, particularly before liability decisions, medical appointments and RTW planning.
- Non-utilised talent: case managers spending time chasing documents instead of coordinating recovery.
- Transportation: digital movement of files between disconnected systems and external providers.
- Inventory: work in process, including claims awaiting evidence, appointments or approval.
- Motion: searching across systems, inboxes, spreadsheets and document repositories.
- Extra-processing: repeated approvals, manual re-keying and multiple versions of the same RTW information.
The medical assessment stage is the principal bottleneck. It constrains downstream RTW planning and increases the quantity of work in process. A push system sends claims forward whenever a prior step is completed. A pull system releases work according to provider capacity, claim risk and the next process requirement.
Approval is an important governance control, but it can become a bottleneck when every decision follows the same escalation path. Standard decision rules should distinguish routine cases from genuinely complex cases.
Analytical Tools for the Analyse Phase
The Analyse Phase of DMAIC identifies root causes using statistical and visual evidence rather than assumptions.
For this claims stream:
- Use the average of 96 days as a baseline, but examine the median because long-duration claims may skew the mean.
- Use attribute data such as complete/incomplete, disputed/not disputed and rework/no rework.
- Use a box plot to compare spread, skewness and outliers across injury severity categories.
- Use ANOVA to compare mean return-to-work time across three or more claim categories. Apply Bartlett’s Test first when assessing whether group variances are sufficiently equal.
- Use z-scores to flag unusually long-running claims for early review.
- Use weekly X-bar and R charts to monitor average claim duration and variation.
- Check for bias in severity coding, provider selection or data collection. Systematic measurement bias can make one team appear faster or a claim group appear more complex than it really is.
The relationship can be framed as Y = f(x): stable return-to-work is the outcome, while inputs such as notification quality, triage rules, provider capacity, communication frequency and employer cooperation influence that outcome.
A digital Andon-style alert can signal a high-risk claim, missed contact, overdue evidence or an approaching service threshold. With autonomation, or Jidoka, the system detects an abnormal condition and triggers a human response instead of allowing the claim to move silently into a larger queue.
Build the Future-State Map
The future-state design should create flow from day zero:
- Early intervention at notification: contact the worker promptly, identify immediate support needs and begin RTW conversations before the claim matures into a long-duration case.
- Standardised triage: use visual severity boards and decision rules to route routine, moderate and high-risk claims consistently.
- Pull-based medical scheduling: match appointments to provider capacity, level demand and reduce rebooking from 26%.
- Right-first-time information: use a standard information-request template with clear ownership, due dates and a single source of truth.
- Tiered escalation: review high-risk claims daily and escalate only the cases requiring specialist attention.
- Visual control: monitor throughput, ageing, disputes, rework loops and next actions in a shared workspace.
These improvements support the Zero Defects principle: perform each information and decision step correctly the first time wherever possible. They also create a stronger business case by linking improved worker outcomes with lower cost, reduced disputes and more predictable capacity.
Current versus future-state performance
The following future-state figures are improvement targets for the case study. The case-manager touch ratio is defined as the percentage of active claims with a documented next action, owner and scheduled follow-up.
| Measure | Current state | Future-state target |
|---|---|---|
| Time to stable return-to-work | 96 days | 54 days |
| Active process time | 6.4 hours | 5.0 hours |
| Flow efficiency | Under 1% | Approximately 1.2% |
| Dispute rate | 12% | Below 7% |
| Information rework loops | 31% | Below 10% |
| Average claim cost | $18,400 | Approximately $14,350 |
| Case-manager touch ratio | 58% | At least 92% |
The cost target represents a 22% reduction:
[
$18,400 \times 0.78 = $14,352
]
Even with a modest increase in active process time, reducing waiting from 96 to 54 days improves flow, increases visibility and reduces the probability that small issues become expensive delays.
90-Day Kaizen Sequencing
Days 1–30: Stabilise the front end
- Introduce early intervention and claim triage at day zero.
- Create standardised triage decision rules.
- Install visual severity boards.
- Define a minimum complete information standard.
- Begin daily tiered huddles for high-risk claims.
- Establish baseline measures for dispute rate, rework and appointment rebooking.
Days 31–60: Improve the constrained steps
- Implement pull-based medical assessment scheduling.
- Level provider capacity against daily and weekly demand.
- Create standard work for information requests.
- Assign one owner and due date to every missing-information item.
- Test RTW planning in parallel with liability activity where appropriate.
- Use Agile improvement cycles to test, review and adjust the new workflow.
Days 61–90: Control and scale
- Embed control charts for return-to-work time, claim ageing and rework.
- Audit triage decision consistency.
- Review high-risk claims in daily tiered huddles.
- Compare actual performance with the future-state map.
- Document standard work and replicate the design across other claim segments.
A Lean Six Sigma Black Belt can lead the project, while Green Belts manage analysis and implementation work. Yellow Belts support data collection and local improvements, and White Belts can build awareness of DMAIC, waste and customer value across the claims team.
Connect VSM to DMAIC and SigmaFlow
VSM links naturally to DMAIC:
- Define: establish the claim scope, customer outcomes and business case.
- Measure: capture lead time, process time, variation, disputes and rework.
- Analyse: identify bottlenecks and root causes using visual and statistical tools.
- Improve: implement the future-state flow and Kaizen sequence.
- Control: sustain gains with standard work, visual management and control charts.
The SigmaFlow platform’s Value Stream Mapping and A3 workspaces can connect the current-state map, evidence, root-cause analysis, countermeasures, owners and follow-up actions in one improvement environment. That prevents the VSM from becoming a presentation that is admired but not implemented.
For broader capability building, explore the Lean Six Sigma online training courses and the related guide on Value Stream Mapping for trade settlement.
Build the capability to map claims, analyse variation and lead measurable improvement: enrol in CSSC-accredited Lean Six Sigma training today.
Kaizen. Kai-Care. Kai-Done. Lean Six Sigma.
