Introduction

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While your medical benefits are designed to keep you healthy, they are not to be overused. Seemingly harmless habits could count as fraud, waste, or abuse (FWA).  

What is FWA?

• ‍Fraud: Fraud is the deliberate misuse of employee benefits. This includes fake claims, or “helping” someone else use one’s medical card. ‍
• Waste: Waste is the inefficient use of employee benefits. For example, waste can be attributed to employees’ repeat doctor visits or taking unnecessary tests. ‍
• Abuse: Abuse is the excessive or inappropriate usage of employee benefits. This may be indicated by demanding for branded over generic prescriptions or overclaiming for minor issues.

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What are the business impacts of FWA in employee benefits?

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1) Inflated Rising Healthcare Costs and Premium

Excessive or fraudulent claims will eventually drive up overall utilisation, leading to higher insurance premiums, renewal costs, and reduced negotiating power with providers.

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2) Reduced Sustainability of Employee Benefits

As costs increase, organisations may be forced to cut coverage, lower limits, or tighten policies, affecting the value of benefits for the broader workforce.

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3) Disrupted Workforce Productivity

Fraudulent claims and unnecessary medical leave can contribute to absenteeism, workflow disruptions, and heavier workloads for other team members.

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4) Poor Strategic Decision-Making and Planning

When claims data is inflated by misuse or abuse, HR may make inaccurate decisions around benefit design, provider partnerships, and budget allocation.

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How to detect fraud, waste and abuse of employee benefits?

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Seeing that FWA could negatively affect the organisation, there is even more a need to manage its root causes. While it cannot be totally removed, efforts can be made to reduce such events.  

A HR professional’s most powerful tool is the organisation’s first-hand data. This includes attendance, leave, and claims records. Here are some best practices used by data-driven organisations.

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Practice 1: Identify claim patterns

In this first practice, you might want to spot anomalies in your claims records. Consider these patterns:

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• Employees with unusually high frequency of visits
  Track those whose clinic visits significantly exceed average utilisation levels. This data may either reveal their underlying health issues or give way to their sentiment about working at the organisation.  

• Repeated claims for similar conditions  
  Have routine checks on recurring claims submitted for the same or related medical conditions over a short time. This occurrence may allude to ineffective treatment, unnecessary follow-ups, or patterns that require closer assessment.  

• Duplicate claims across multiple channels
  Look out for possible overlapping claims. Some common scenarios include manual submission of the same receipt after a panel visit, splitting of claims into smaller amounts to bypass limits, and multiple submissions across systems.

• Suspicious leave/MC patterns  
  Spot sick leave applied around weekends, public holidays, or peak leave periods? It is not a definitive proof of misuse but could indicate potential abuse of medical leave entitlements.

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Though these situations are far from ideal, they can make way for honest conversations with employees for interventions and improvements down the line.

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Practice 2: Benchmark provider performance

• Monitor over-servicing / additional treatment
  Look for providers that frequently recommend additional treatments, medications, or follow-up visits beyond typical care patterns. Excessive servicing may contribute to unnecessary spend and should be evaluated against other providers in your network.

• Compare charges
  Following a revision to the Private Healthcare Facilities and Services Regulations 2006, a RM10-RM80 range for private general practitioner (GP) consultation fees was implemented. Identify clinics that often bill above the average cost of claims across health providers and assess if you’d be willing to bear the expense.  
  
  At least 2,000 HealthMetrics panel clinics still charge RM60-RM90 for common illnesses. Cost-conscientious clients may opt out of the others. How about you?

• Monitor prescribing behaviour  
  Review prescription trends across health providers, including medication type, quantity, and branded versus generic prescribing patterns. This can help surface inconsistencies and opportunities for more cost-conscious treatment practices where clinically appropriate.

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Practice 3: Analyse benefit utilisation trends

• Underutilised benefits  
  Track benefit categories with consistently low utilisation – are they still relevant to employee needs? Underutilised benefits could signal opportunities to redesign your employee benefits plan and improve cost efficiency.

• Overutilised categories  
  Evaluate benefit categories that experience disproportionately high usage or spending. These may highlight abuse, gaps in plan controls, or areas where employee education is needed.

• Imbalance between employee needs and plan design  
  Based on workforce demographics and employee feedback, assess whether benefit offerings remain relevant to them. Misaligned plans can result in overspending without delivering meaningful value.

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Practice 4: Monitor in real time, not just at year-end or renewals

• Track trends throughout the year
  Review claims and utilisation data throughout the year. Ongoing monitoring enables earlier visibility into emerging cost or usage concerns.

• Intervene before costs escalate
  Set alerts for unusual claim activity and/or utilisation spikes, based on usual claims patterns and benchmarks. Early detection allows for investigation and stepping in before issues escalate.

Monitoring such data will lead to much more informed decisions, enabling organisations to take proactive corrective action.

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How to prevent fraud, waste and abuse of employee benefits?

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When fraud, waste or abuse is detected, organisations can work to review irregular charges or prescribing behaviour, strengthen policy controls, and educate employees on responsible benefit utilisation. Even before issues arise, we want to take measures to safeguard against such events from happening from the get-go.

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Culture and communication

Technology can only do so much to detect fraudulent practices. Prevention, and the how or why employee benefits are utilised is reliant on the culture set at the workplace. This is where HR professionals are key in shedding light to employees on abuse vs genuine utilisation, communicating governance on such events, and reinforcing company values.

Collaborating with your fellow employees could encourage an anti-fraudulent work ethic. To start the conversation, share these following efforts that everyone can be a part of, as well as HR-specific considerations.

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• ‍Necessary check-ups only
  We often know our bodies the best - when it’s fit for the tasks ahead of us or not. It’s important to discern whether a medical certificate or sick day is required, or if one is fit to work and recover at home.  
  
  Note to HR: This is not to invalidate any employee’s health – they should still visit the doctor if symptoms worsen or persist. From a HR’s perspective, this is also where you could consider flexible working arrangements (i.e. work from home) for cases like these.  

• Keep claims honest
  Unless the organisation covers employees' dependents, employees should endeavour to avoid claiming for family and friends. Employees should also ensure there are no exaggerated receipts or treatment details in their claims. This ensures genuine claims of employee benefits.  
  
  Note to HR: Claims can be reflective of absenteeism at the workplace. It’s important to note double claims for the same visit or procedure, in the case it might be a mistake.  

• Opt for generic medication
  Where suitable and upon advice or recommendation by a doctor, employees may choose generic alternatives to branded medications. Often, generic medication sells at a fraction of the price and works just as effectively.  
  
  Note to HR: Over time, this helps break biases that “branded is always better” while optimises employee healthcare spend without impacting the quality of care.

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Partnering with the right platform

Another way to prevent FWA is to consider partnering with a platform with analytics capabilities, real-time reports, and health provider benchmarks. Perhaps here are some questions to ask your potential benefits partner.

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• Do we have visibility into health provider claim patterns?
• Can we identify unusual utilisation trends in real time?  
• Are we benchmarking clinics or treatment costs?
• How quickly can we detect anomalies?  

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Conclusion

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Bringing it altogether, it matters to detect through data and analytics, prevent through policies and controls, and optimise with revised employee benefits plan(s). Fraud, waste and abuse don’t arrive as a crisis. They accumulate quietly, claim by claim. The organisations that win are the ones that spot the pattern before it becomes a problem. Let’s figure it out together!

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