Clinician resource preview
Anonymised cohort signals from patient-held seizure records.
SeizeControl is starting to turn structured patient logs into cohort-level review prompts: timing distribution, repeated context, period-linked grouping, medication context and wearable overlap. This preview shows the type of signal a clinician portal can make useful without exposing individual patient records.
Publication-style safeguards
Useful enough to assess, limited enough to protect patients.
The preview focuses on broad signal domains and review prompts rather than raw user data. It shows the type of structured insight a clinician portal can make useful while keeping patient records private.
Aggregate signal preview
Formatted like a clinical review table, not a marketing claim.
Each row is framed as a co-occurrence or review prompt so clinicians can assess what may be worth exploring without treating the preview as causation.
| Signal domain | Observed pattern | Data basis | Clinical use | Status |
|---|---|---|---|---|
| Temporal clustering | Evening is currently the most represented event window in the anonymised cohort preview. | 46% of logged events; 18:00-24:00 window. | Helps clinicians ask whether patterns are linked to routine, sleep, appointments, medication timing or environmental load. | Aggregate learning |
| Repeated context | sleep / fatigue and sensory load are the most visible structured context themes. | Sleep / fatigue: 13% | Sensory load: 6% | Pain / headache: 14% | Stress / pressure: 10% | Activity / exertion: 8% | Provides a starting point for targeted history-taking without treating co-occurrence as causation. | Aggregate learning |
| Period-aware review | Follicular is the largest currently visible phase grouping among events with Period Tracker context. | Menstruation: 8% | Follicular: 45% | Ovulation: 12% | Luteal: 35% | Supports more specific discussion around hormonal timing, symptom preparation and diary quality. | Early signal |
| Wearable overlap | Wearable imports are present in the aggregate view and can support portal-level signal review. | Heart-rate metrics: 1 records | Sleep analysis: 1 records | Activity and exertion: 1 records | Respiratory metrics: 1 records | Shows where future clinician portal views can compare seizure timing against sleep, heart-rate and activity windows. | Early signal |
| Medication context | Medication profiles are available alongside seizure records for longitudinal review. | 3 records with medication profiles; 3 records with dose confirmations. | Creates a practical route from patient-reported adherence to appointment discussion and forecast interpretation. | Aggregate learning |
Distribution by monitoring window
Broad themes, not raw notes
Sleep / fatigue
13% · Aggregate learning
Sensory load
6% · Aggregate learning
Pain / headache
14% · Aggregate learning
Stress / pressure
10% · Aggregate learning
Activity / exertion
8% · Aggregate learning
Phase context where recorded
Menstruation
8%
Follicular
45%
Ovulation
12%
Luteal
35%
Data families ready for portal review
Heart-rate metrics
Available for portal review
Sleep analysis
Available for portal review
Activity and exertion
Available for portal review
Respiratory metrics
Available for portal review
Clinician portal direction
Why this makes referral to SeizeControl worthwhile.
The value is not just another diary. It is a structured patient-held record that can mature into anonymised service insight, audit-style review and better prepared consultations.
Cohort filters by time window, event type, context theme and data source.
Aggregate correlation tables designed for clinical audit-style scanning.
Patient referral resources showing what to log before review.
Exportable methodology notes for governance, service evaluation and research conversations.
Clinician Portal: planned release
Point patients to SeizeControl