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Optimization of Epilepsy Program Procedures With Linear Programming

Authors: Marc J. Schniederjans; Deepak Madhavan; Dara G. Schniederjans;

Optimization of Epilepsy Program Procedures With Linear Programming

Abstract

The goal of comprehensive epilepsy centers (CECs) is to diagnose and treat individuals with epilepsy and other episodic disorders. To do this, epilepsy specialists rely upon electroencephalographic (EEG) techniques. EEG is a central component of CECs, providing critical information for the diagnosis and management of patients with seizure disorders. Additionally, EEG is a critical revenue generator for epilepsy programs, allowing for sustained growth and expansion programs in most institutions. This study uses a linear programming model to determine optimal allocation of EEG resources within a CEC, specifically considering volumes of inpatient routine EEG, outpatient EEG, and inpatient Video-EEG monitoring. The study demonstrates that the most significant contributor to overall revenue to the program was available EEG technologist hours. This finding suggests that CECs should prioritize programs related to increased EEG technologist training, recruitment, and retention to maintain and expand revenue and procedure volume.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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