For clinicians and care teams

What the portal surfaces

• iContinuous heart rate & HRV trends per patient
• iTime-stamped, categorized deviations from each patient’s personal baseline
• iConfidence scores for each detected event — signal strength at a glance
• iSurrounding physiologic context: lead-up and recovery, not just a single moment
• iPatient and caregiver manual logs — the ground truth your patient supplied

The clinician portal lives at clinician.adid.app.

Where it fits in your workflow

• ✓Replaces patient recall as the primary between-visit record
• ✓Anchors telehealth visits in objective, prioritizable context
• ✓Supports longitudinal pattern-spotting across SCI care
• ✓Patient-specific baselines remove the ambiguity of population norms
• ✓Caregiver-alert routing reduces the burden of after-hours triage

Multi-category episode taxonomy

ADID distinguishes between confirmed AD-pattern episodes, elevated trends consistent with subclinical autonomic stress, and baseline drift that may indicate a changing physiologic state — each labeled and presented separately.

Confidence scoring per event

Every detected event arrives with a likelihood and confidence percentage. Triage starts where the signal is strongest. Lower-confidence patterns aren’t discarded — they accumulate into the trend picture.

An intermittent condition needs continuous data.

AD is fast in onset and frequently silent. Spot measurements during a visit are almost guaranteed to miss episodes that happen at home or overnight. Continuous wearable monitoring is the only structurally appropriate response.

Patient recall is unreliable, even when honest.

Episodes can be partial or asymptomatic. Even when recognized, recall after the fact is fuzzy on timing, duration, and surrounding context. ADID replaces a fuzzy memory with a precise record.

A clinic visit cannot characterize a pattern.

Patterns only emerge with continuous data. ADID gives you something to look at across a week or a month, not just a single moment — with category labels and confidence scores attached.

Telehealth needs an objective substrate.

A remote visit is only as good as the data underlying it. ADID provides the objective record that lets telehealth visits do real clinical work for SCI patients managing AD risk between in-person care.