Figuring out non-emergency transportation billing dangers

Non-emergency transportation is an important operate that helps Medicaid members entry vital care after they can’t safely use customary transportation. However as a result of these companies contain a number of billing parts like automobile kind, mileage, and wait time, they’ll additionally create vulnerabilities when utilization seems unusually excessive or inconsistent with coverage limits.

Current public consideration round transportation-related Medicaid fraud, waste, and abuse (FWA) in Minnesota has bolstered the necessity for Health plans to evaluate whether or not publicity might exist in different markets, notably given advanced reimbursement guidelines that probably make these companies extra susceptible to dangerous actors.

On this version of FWA Insights, we discover how particular investigative items (SIUs) can take a proactive, data-driven method to figuring out potential FWA in non-emergency transportation claims.  

In a preliminary overview, Cotiviti investigators evaluated publicity for a California Medi-Cal shopper and recognized a supplier that appeared as a statistical outlier for a number of non-emergency transportation-related HCPCS codes. These included: 

• T2005: Non-emergency transportation by stretcher van 

• T2007: Transportation wait time for air ambulance and non-emergency automobile companies in half-hour increments 

• A0425: Floor mileage per statute mile 

Investigators found that the supplier’s paid quantity for T2007 was 24 instances larger over the previous three years than the following highest-paid supplier for a similar code. This billing conduct warranted additional overview as a result of excessive variance when in comparison with different suppliers.

Investigators discovered that the supplier constantly billed T2007 above the three-unit restrict per member on a single date of service described in Medi-Cal steerage. Below that steerage, suppliers might invoice ready time in 30-minute increments, however reimbursement is mostly restricted to a most of three items, besides in restricted circumstances. The preliminary at-risk quantity related to the overview was estimated $3 million.

Audit findings had been launched to the supplier who appealed, however the investigation was upheld and resulted in an recognized extrapolated overpayment of >$6 million {dollars}. Medical necessity of transportation couldn’t be justified attributable to a scarcity of transportation data and no doctor order for the companies. 

For Health plan SIUs, step one in reviewing comparable exercise is to make use of claims information to determine suppliers with unusually excessive utilization, excessive paid quantities, or repeated billing above outlined limits for transportation-related codes. Outlier evaluation will help prioritize leads, particularly when a supplier’s billing is totally different from friends serving comparable populations or working in the identical line of enterprise.

From there, SIUs can assess whether or not the claims modifying atmosphere is successfully stopping funds for non-covered or extreme companies. Transportation billing guidelines can fluctuate by program and jurisdiction, so investigators ought to examine claims towards the relevant price schedule, protection necessities, and unit limits. When claims exceed coverage thresholds, medical data or documentation could also be wanted to find out whether or not billed companies had been supported, medically vital, and reimbursable.

Excessive outlier standing turns into extra significant when paired with particular coverage indicators, resembling repeated billing above unit limits, unusually excessive wait-time reimbursement, or disproportionate use of transportation mileage and stretcher van codes. By combining peer benchmarking, claims modifying overview, and documentation requests, SIUs can higher distinguish official transportation wants from billing patterns that will point out fraudulent exercise. 

Non-emergency transportation needs to be monitored as a part of a broader FWA prevention technique. Proactive analytics will help Health plans decide whether or not comparable publicity exists inside their very own Medicaid populations earlier than improper funds accumulate.

Health plans must also consider whether or not their claims techniques are configured to detect and stop fee for companies that exceed relevant limits. Strengthening prepay edits for high-risk transportation classes will help scale back fee for non-covered companies, assist extra constant coverage enforcement, and shield program assets whereas preserving entry to transportation for members who want IT.