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Epilepsy clinic analytics: leveraging EMR reporting tools to characterize center volume and complexity
Vanuli Arya1, Arindam Ghosh Mazumder1, Muna Nnamani1
1Departments of Neurology, Neuroscience and Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States.
Frontiers in Neurology
|January 28, 2026
Summary
Epilepsy centers can track patient volume and complexity using electronic health records. This helps in resource allocation and identifying patients for advanced treatments like epilepsy surgery.
Area of Science:
- Neurology
- Health Informatics
- Healthcare Management
Background:
- Epilepsy centers manage complex patient populations requiring coordinated care.
- Objective metrics are needed to optimize resource allocation and patient management.
- Electronic Medical Records (EMR) offer potential for data-driven insights.
Purpose of the Study:
- To analyze patient and visit volumes, antiseizure medication (ASM) prescriptions, and neuromodulation use over 11 years.
- To develop and validate a method for monitoring epilepsy center patient complexity.
- To inform resource allocation and patient management strategies.
Main Methods:
- Utilized Epic Workbench Reporting for data extraction from 2013-2023.
- Included clinic visit dates, neuromodulation CPT codes, and ASM prescriptions.
- Calculated an annual patient complexity score (CS) based on visit frequency and ASM diversity.
Main Results:
- Observed a doubling in annual patient volume over 11 years.
- Noted increased ASM polytherapy rates and shifts in prescribing patterns.
- Found higher CS in patients using neuromodulation or liquid ASMs, with increasing average CS over time.
Conclusions:
- A simple EMR-based approach can longitudinally track epilepsy center patient volume and complexity.
- This monitoring facilitates equitable resource distribution.
- It aids in identifying candidates for epilepsy surgery and remote patient monitoring.
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