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Healthcare accounts receivable valuation: Four pitfalls to avoid

January 22, 2019 / 6 min read

If the numbers on the books show one thing, but the cash in the bank shows another, now may be the time to review your healthcare accounts receivable policies. Here are four pitfalls to watch out for.

When one of the larger integrated health systems in Illinois announced a $92 million accounting error — citing an over-estimation of expected revenue from insurance companies and patients — it shocked many in the healthcare industry and served as a catalyst for other providers to revisit their accounts receivable (AR) valuation methodologies.

Healthcare AR valuation is a high-risk area. It’s very complex and, because it relies on assumptions and estimation, it’s susceptible to errors and fraud. But, that’s just the start. Healthcare AR is further complicated by frequent regulatory changes, ever-changing payment models, increases in the use of high-deductible health plans (HDHPs), and the addition of large pools of previously uninsured people being funneled into health plans by the Affordable Care Act (ACA).

To add to the challenges, collection varies by patient and by plan, and collection times can range from days to years. The result? Many existing AR valuation approaches aren’t adjusting correctly, and organizations are having to figure out how to quantify and calculate impacts and make changes to account for them.

Many existing AR policies and procedures aren’t adjusting correctly, and organizations are having to address concerns they didn’t see coming.

As a healthcare provider, what should I do?

First, undertake a thorough review and analysis of your organization’s AR landscape. It should begin with a data analysis effort that looks back at AR over a historical period. Try to figure out the “why” behind the numbers. Next, round up your organization’s key stakeholders, including the chief financial officer, controller, head of revenue cycle, and reimbursement staff. If your organization doesn’t have the data analytics skills or level of resources required to do this quickly, consider bringing in a consultant to help.

What should we look for in a healthcare AR analysis?

Based on our review of organizations’ healthcare ARs, we’ve found four primary risk areas:

Below, we describe each potential pitfall and provide a few questions you can ask to help determine your organization’s AR risk exposure.

Risk 1: Inaccurate contractual allowances and/or poor reserving methodologies

A key problem we frequently uncover through AR data analysis is inaccurate contractual allowances and/or insufficient reserves. Organizations discover their methodologies aren’t as strong as they initially thought and, in some cases, they’re simply not accurate. The systems and procedures in place suggest their contractual allowances and reserves are sufficient, but the data shows the numbers can’t be justified.

Here are some questions to ask to determine if contractual allowances/reserving is a risk area for your organization:

If you said “no” to any of these questions, it may be time to revisit your approach to contractual allowances and reserving methodology.

If people aren’t suitably trained or the data going into the system is poor, the data out will also be poor.

Risk 2: Inadequate processes

The next big risk we see emerging from our AR risk analyses is inadequate processes. Often, a leadership team believes something is being done in a certain way, but an analysis of day-to-day operations reveals it’s actually being done another way — and important things are slipping through the cracks. Since processes and internal controls are closely linked, a problem with process usually means another internal control needs to be put in place to make sure it doesn’t continue going forward.

Ask yourself:

Risk 3: Reimbursement and regulatory environment

Another significant risk to healthcare AR is a lack of organizational awareness of reimbursement and regulatory changes. Regulatory changes attributable to the ACA are now starting to show up in the numbers and, in many cases, adjustments aren’t being made in a timely manner. Some organizations believe they’re calculating AR accurately, but they’re not realizing that they need to make bigger adjustments (for example, for people who have $15K deductibles and aren’t likely to pay them).

Consider this: Is your organization adopting processes that monitor:

In this era of rapid industry and regulatory change, the potential for AR valuation errors is high.

Risk 4: Resources

As organizations uncover flaws in their AR methodologies, they’re also discovering they may not have the right resources in place. For example, they may have staff whose skill sets may not have kept up with the increasing complexity of the AR environment. In addition, AR reviews often find technology isn’t being used properly. If people aren’t suitably trained or the data going into the system is poor, the data out will also be poor.

Ask yourself:

Check and double-check

In this era of rapid industry and regulatory change, the potential for AR valuation errors is high. Hypervigilance is needed by staff, management, and governance to check and double-check the integrity of AR calculations, the data that goes into them, and the analysis and reports that come out of the reporting system. If the numbers on the books show one thing, but the cash in the bank shows another, now is the time to review your AR valuation methodologies.

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