AI Scribe for
Epilepsy

Epilepsy documentation begins with precise seizure classification: focal versus generalized, the specific semiology (what happens at onset, how the seizure evolves, postictal state), and whether impaired awareness is present. This classification determines treatment selection, drives EEG interpretation, and affects coding.

Across visits, epilepsy documentation must track: seizure frequency (number of events since last visit), seizure type and any change in character, breakthrough seizure circumstances, current anti-seizure medication regimen with doses, relevant serum levels where applicable, side effects and tolerability, and any emergency department visits or hospitalizations for seizure-related events.

For patients undergoing epilepsy monitoring unit evaluation, the documentation must correlate the clinical semiology with the EEG ictal pattern — establishing whether the events are epileptic and whether they match the patient's reported clinical events.

Seizure frequency should be documented as a structured, quantified measure at every follow-up visit: number of seizures since the last appointment, seizure type, duration, and any change in semiology. This data should be recorded consistently enough to permit meaningful comparison across visits — not just 'seizures are improved' but 'went from 4 focal aware seizures per month to 1 since starting lamotrigine 150mg BID.'

For patients approaching seizure freedom — the clinical goal in epilepsy management — the documentation of the seizure-free period is essential. Driving restrictions, employment decisions, and quality-of-life assessments depend on having a reliable, verifiable seizure-free interval documented in the medical record.

An AI scribe that captures seizure frequency as a structured data element at every epilepsy follow-up creates the longitudinal record that both clinical management and prior authorization for advanced therapies requires.

EEG findings — both routine EEG and prolonged monitoring — must be explicitly correlated with the clinical presentation in the neurology note. An EEG report that shows left temporal sharp waves is clinically meaningful only when the treating neurologist documents how that finding relates to the patient's focal seizures with déjà vu and olfactory aura.

This correlation — from EEG findings to clinical semiology to seizure type classification — is the documentation that supports the diagnosis of epilepsy, guides treatment selection, and supports prior authorization for anti-seizure medications, vagal nerve stimulation, and surgical evaluation.

Scryber captures EEG-clinical correlation as part of the neurology assessment, ensuring that the interpretive connection between test findings and clinical decisions is preserved in the permanent record.