Evidence map›Paper›PMID 41602959›Full record

ArticleFrontiers in neurology2025

Epilepsy clinic analytics: leveraging EMR reporting tools to characterize center volume and complexity.

Vanuli Arya, Arindam Ghosh Mazumder, Muna Nnamani, Mark A Abboud, Samuel C Lee, Michael S Guzman, Vaishnav Krishnan

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Vanuli AryaDepartments of Neurology, Neuroscience and Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States.
Arindam Ghosh MazumderDepartments of Neurology, Neuroscience and Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States.
Muna NnamaniDepartments of Neurology, Neuroscience and Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States.
Mark A AbboudDepartments of Neurology, Neuroscience and Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States.
Samuel C LeeDepartments of Neurology, Neuroscience and Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States.
Michael S GuzmanOffice of Information Technology, Baylor College of Medicine, Houston, TX, United States.
Vaishnav KrishnanDepartments of Neurology, Neuroscience and Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Epilepsy centers connect patients to multidisciplinary provider groups that can coordinate surgical interventions and/or investigational treatments. Automated techniques to cross-sectionally review patient volume and complexity may reveal objective metrics to assign appropriate personnel and resources. Here, we leveraged an electronic medical record (EMR) reporting tool to examine how patient and visit volumes, antiseizure medication (ASM) prescriptions and neuromodulation use evolved over an 11-year epoch at a single level 4 adult epilepsy center in Texas, USA. Methods: Using Epic Workbench Reporting, we acquired the dates of (i) all clinic visits (office or telemedicine), (ii) CPT codes for neuromodulation interrogation/programming, and (iii) prescriptions for all antiseizure or rescue medications from 14 epilepsy providers between 2013 and 2023. We calculated an annual complexity score (CS) for each patient, incorporating visit frequency and the total number of distinct ASMs prescribed. Results: Over this 11-year period, the clinic cared for 5,215 unique patients, approximately 20% of whom were only seen once. Our analysis revealed a gradual doubling of total patients served annually, an increase in ASM polytherapy rates and subtle shifts in overall ASM prescribing patterns. High CS were observed in patients treated with neuromodulation and/or administered liquid ASMs. Average annual CS gradually increased over the study period, and many patients displayed wide CS fluctuations over time. Discussion: Our results validate a simple approach to longitudinally monitor the volume and approximate complexity of patients within an epilepsy center's ambulatory clinic, providing opportunities to equitably assign personnel and resources, identify candidates for epilepsy surgery and/or remote patient monitoring strategies.

Indexed as

epilepsy centersneuromodulationoutpatient clinicpolytherapypractice management

Identifiers

PMID41602959
PMCPMC12832382

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.