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Optimization of Epilepsy Program Procedures With Linear Programming

Marc J. Schniederjans, Deepak Madhavan and Dara G. Schniederjans
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Marc J. Schniederjans: University of Nebraska, Lincoln, USA
Deepak Madhavan: University of Nebraska Medical Center, USA
Dara G. Schniederjans: University of Rhode Island, USA

International Journal of Business Analytics (IJBAN), 2020, vol. 7, issue 3, 1-11

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.

Date: 2020
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