Revenue cycle management checklist
The revenue cycle management function has come a long way for DME/HME companies with a recent paradigm shift in thinking from a cost center to a profit center view. Unfortunately, this shift in mindset has not led to an industry breakthrough solution. In a survey conducted by ISG, 97% of DME companies reported they struggle with workforce, asset, productivity or growth optimization. Each of these levers has a correlation with the revenue cycle function, which contributes to an industry average of 15%-25% of overall operating costs (a large population of DME/HME companies continue to operate at 25%-35% revenue cycle costs).
While companies are adapting to cope with revenue cycle issues, the fact is that the size of the canvas has expanded beyond focusing on just the following:
•100% accurate inputs at the order-entry stage leading to a clean claim submission;
•100% adherence to the eligibility criteria based on medical necessity established by the physician before dispensing the products;
•Understanding of payer/product rules for accurately determining required documents to avoid complete or partial denial; and
•Timely collections of required documents before billing to avoid timely filing denials.
The industry has used a combination of process and technology to tackle the above factors with varying degrees of success. Yet the desired end state seems to be as elusive as when we began this journey. Now we are forced to ask why? The answer begins with recalibrating the set of variables that we need to monitor:
•Shift in payer mix due to demographic factors, such as increase in aged population;
•Onslaught of regulatory audits warranting increased scrutiny of processes and appeals have grown more than 150% over the last three years as a result of high claim rejections; and
•Product mix changes as result of sales strategies and the resulting swing on pricing.
The above factors are playing a larger role in affecting the providers who struggle with razor-thin margins, competitive bidding and unfavorable contracts dictated by the payers.
As we have seen in the industry, the collection trend has declined steadily in the course of the last two quarters. As one would normally conclude, the operations team of billing and collections was held responsible for the poor results.
To achieve a genuine view on the actual reasons, a three-step method must be employed:
•Data analytics need to be used to understand historical trends;
•Assemble a revenue projection blueprint design. The model maps the order from inflow to cash yield. Predictions from each process phase are compared to actual performance to identify where the stoppage in flow is occurring; and
•Form a “line of sight” team from core business operations to review process performance, identify opportunities and tactically align initiatives to improve results.
This approach generates insights that link the cash shortfalls to unsuspected sources—unlike the usual ones, such as productivity, timely filing limits, aging, delay in follow-ups, ineffective collection practices etc. Cash was down not because the collections team was less effective, but because the average value of a cash payment had dropped. The sales team was meeting the overall volume goal but the team was selling lower-priced items. This product shift had a cascading effect, triggering a negative impact on the payer mix.
An unexpected variation in product sales brought with it an unexpected shift in who was buying the product, the purchaser base. The new trend was sales to payers with reduced contract pricing and, ultimately, a lower value per order.
As an outcome, companies can create a well-defined model on which to base probabilities versus random targets. This allows a company’s leadership to be equipped with certifiable triggers in which to evaluate cash results.
To summarize, the way to the future for DME/HME companies to constantly stay on top will depend on their agility to respond, that comes from the power of smart intelligent processes achieved through the following:
• Investing in data infrastructure that supports exchange of information among payers and providers;
• Including payer, product mix and sales effectiveness into the list of process metrics;
• Establishing a measurement system that is capable of tracking metrics and reporting all the performance indicators in the entire RCM value chain, including sales;
• Building a forecasting model built on predictive analytics principles using historical data to act as an alert tool; and
• Creating a feedback loop mechanism that transcends information barriers across functions and creates awareness among the groups about the origin and root cause of all issues.
Shajan Koshy has 13-plus years of experience in various leadership roles, including service delivery, quality, automation and transitions. He currently heads the healthcare provider vertical for Genpact.
Abhishek Dasgupta has 13-plus years of experience in operations, quality, consulting and solutions. He currently leads solutions for the healthcare provider vertical at Genpact.