Analytics harness the power of algorithms to determine statistical relationships and predict the impact of potential change to the hospital net revenue engine.
We use predictive analytics to deliver effective financial modeling for a new budget or any potential change that affects operational or fiscal success.
The inherent value in pricing analytics is the ability to make sense out of potential variation within well-defined statistical relationships that will determine net revenue and fiscal sustainability in a volatile health care environment.
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5 Key Strategies
Forecast the net revenue impact of potential change in:
- Service line utilization and new services
- Other revenue drivers
- Physician alignment
- Payer mix and reimbursement
- Your market
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Deliverables
- Project net revenue by service and department
- Grow net dollars where brand is strong, emerging, and as needed
- Model building-out various service lines or adding new services
- Project the net financial impact of potential change in revenue drivers
- Project the net financial impact of potential market change
- Project the net financial impact of more “big picture” change
- Project the net financial impact of potential change in payer reimbursements and payer mix
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Our timeline
30 days to provide a detailed analysis of your charge and payer data
30 days to confirm the net financial impact of potential change per the above