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Probabilistic Modeling Approach to Reducing Healthcare Costs With Reflex Testing.

Probabilistic Modeling Approach to Reducing Healthcare Costs With Reflex Testing.
Author Information (click to view)

Prakash S, Hamby T, Leung-Pineda V, Wilson DP,


Prakash S, Hamby T, Leung-Pineda V, Wilson DP, (click to view)

Prakash S, Hamby T, Leung-Pineda V, Wilson DP,

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Laboratory medicine 48(4) 384-387 doi 10.1093/labmed/lmx049
Abstract
Objective
Statistical methods can be utilized to optimize the order for reflex diagnostic testing to attenuate patient and hospital costs without affecting quality of care. Our objective is to demonstrate the method of developing an order for testing and to apply this method to an illustrative example.

Methods
An algorithm was developed for minimizing costs for any given number of diagnostic tests, and it was retrospectively applied to a sample.

Results
The actual scenario of using both tests on all patients was compared to 2 other hypothetical reflex testing approaches: all patients are given 1 test, and those patients who tested negative were then given the second test. The 2 scenarios would have saved 37.1% and 17.4% in testing costs, respectively.

Conclusion
These calculations could be applied to numerous situations to reduce costs for patients and hospitals. We propose that this methodology would be best used in conjunction with any existing quality improvement initiatives.

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