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To have our techno-commercial team put you on the path to extra profit!
 
 
Maximization methodology
Quality control
Medical coding
 
 
 
Based on the output of the Analytics engine of Revenue Maximizer , our Quality Control (QC) process is continuously strengthened. The QC system has filters for each insurance carrier practice-wise which mimics their claim processing and predicts likely denials. By capturing possible reasons for denial BEFORE submitting the claim, we reduce the time required for payment, and also the cost involved in re-processing of the claim. With each iteration the filters become better at identifying potential weaknesses in claims; based on these, our analysts 'clean' the claims, constantly improving our first-time-approval ratios.

The gains from this process are limited by what is done at the time of delivery of medical care. The key to maximizing collections lies in meticulously following the systems laid down by the insurance carriers. Based on the reports of our analytics engine, every month we prepare a list of action-points that can improve collections. These action-points are supported by estimates of additional collections that can result by following them.

Thus, for every action-point, the benefit is clearly indicated. You work out the cost of implementing the action-points. if it is much lesser than the benefit (as is the case most often) you execute it and see your collections improve month after month.

What's more by subscribing to our consulting service, you can get your practice benchmarked against similar practices both with reference to your workflow policies and the revenue yield. Any changes made to your workflow will result in better revenue yields three months down the line. In that sense, the workflow benchmark is forward-looking.

However, the revenue-yield benchmark is a current indicator. A combination of these two will give you a clear idea of by how much you can improve your revenue yields in the short term, and the effort involved in achieving those higher yields.
 
 
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