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Days in A/R: what's your magic number?
1QHR Consulting Services, Brentwood, Tenn, USA. daniel_hobbs@qhr.com
Summary
Calculating optimum days in accounts receivable (A/R) involves multiplying service-to-pay days by payer mix percentages. Significant payer mix shifts, especially increased self-pay patients, directly impact A/R days.
Area of Science:
- Healthcare Financial Management
- Revenue Cycle Management
- Health Services Research
Background:
- Accounts receivable (A/R) management is critical for healthcare financial stability.
- Payer mix significantly influences the efficiency and financial performance of healthcare providers.
- Understanding A/R dynamics is essential for optimizing revenue capture.
Purpose of the Study:
- To determine the optimal number of days in accounts receivable.
- To establish a method for calculating optimum A/R days based on payer mix.
- To identify the impact of payer mix changes on A/R optimization.
Main Methods:
- Calculating optimum A/R days by multiplying service-to-pay days by payer mix percentage for each payer.
- Analyzing the effect of payer mix percentage changes on the optimum A/R days.
- Utilizing financial and demographic data for analysis.
Main Results:
- The optimum number of days in A/R is derived from service-to-pay days and payer mix.
- A change in payer mix of 5% or more demonstrably affects the optimum A/R days.
- An increased percentage of self-pay patients leads to a higher number of days in A/R.
Conclusions:
- Healthcare financial models must account for payer mix in A/R optimization.
- Proactive management of payer mix shifts is crucial for maintaining optimal A/R.
- The study provides a quantifiable method for A/R day optimization in healthcare settings.
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