Case Study: Expense Reimbursement Controls Audit for a Diagnostic Healthcare Chain
Identifying duplicate, threshold-driven and unsupported expense claims across 12 clinics
Executive Mandate Summary
Key Transaction & Governance Challenges
- •Expense-to-revenue ratios varied significantly across clinics, ranging from 2.1% to 4.8%, without corresponding differences in clinic size, patient volume or geography.
- •The existing approval process relied heavily on clinic-manager knowledge, with limited independent verification of receipts and supporting documentation.
- •A significant concentration of claims appeared immediately below the ₹500 receipt-required threshold, indicating potential policy circumvention.
- •The organisation lacked a central analytics dashboard to identify abnormal claim patterns across its 12-clinic network.
Northrop Execution Architecture & Methodology
Executive Mandate Overview
A diagnostic healthcare chain operating 12 clinics across two cities was experiencing significant variation in employee expense reimbursements. Although individual claims were generally small, the aggregate annual reimbursement pool had reached ₹42 lakh.
Management observed that clinic-level expense-to-revenue ratios varied materially without an obvious operational explanation. Northrop was engaged to assess whether the variation resulted from genuine operating differences, control weaknesses or potentially unsupported claims.
The Expense Control Problem
The expense environment consisted of high-frequency, relatively low-value claims including sample collection travel, consumable purchases, equipment maintenance, courier charges and petty cash replenishments.
Individual claims typically ranged between ₹200 and ₹5,000.
The existing process placed significant reliance on clinic managers approving claims based on operational familiarity, while receipts were not consistently independently verified against the underlying transaction.
This created an environment where individual exceptions could remain difficult to identify while accumulating into a material annual exposure.
Five-Test Analytical Protocol
Northrop applied five analytical tests across the complete 3,200-claim population:
1. Duplicate Detection
42 duplicate claims totalling ₹1.3 lakh were identified.
2. Vendor Concentration
One clinic recorded 38 courier claims with the same provider at ₹450 each. Vendor confirmation supported only 22 shipments.
3. Round-Number Concentration
28% of claims were recorded at exact round amounts compared with an expected range of approximately 5% to 8% for the reviewed population.
4. Weekend & Holiday Claims
18 claims totalling ₹38,000 related to dates when the respective clinics were not operating.
5. Threshold Manipulation
410 claims, or 12.8% of the population, fell between ₹400 and ₹499 against a ₹500 receipt threshold.
From Exceptions to Financial Exposure
Across the five analytical tests, 576 of 3,200 claims, representing 18% of the population, failed at least one integrity test.
The resulting estimated financial exposure was ₹7.6 lakh.
The analysis also distinguished between different types of exceptions. Some duplicate claims represented processing errors, while other patterns required further verification.
This distinction was important because the objective was not simply to classify every exception as fraud, but to identify where the control environment required stronger preventive and detective mechanisms.
Controls Installed
Northrop recommended and supported the implementation of a centralised expense-control architecture:
- Mandatory digital receipt capture at the time of expense
- Central head-office analytics dashboard
- Clinic-level expense-to-revenue monitoring
- Duplicate-claim detection
- Round-number frequency monitoring
- Threshold-proximity analysis
- Quarterly random verification of 5% of claims
- Vendor-level verification for selected high-risk transactions
The resulting framework shifted the organisation from primarily manual approval toward continuous analytical monitoring.
Verifiable Institutional Outcomes & Value Realized
- 576 of 3,200 claims failed at least one analytical integrity test.
- The identified exception population represented an estimated ₹7.6 lakh of financial exposure.
- The three highest-expense clinics reduced their average expense-to-revenue ratio from 4.5% to 2.8% within four months.
- The client moved from manager-led approval to a combination of digital documentation, central analytics and periodic independent verification.
Pratham Sharma
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