CORE C2D · Contradiction and Drift Detection
The vault that watches
what medicine misses
An immutable longitudinal health record that detects contradiction between patient self-report and caregiver observation, tracks silent drift across lab values and cognitive domains, and delivers insight-guided clinical intelligence at the point of care.
Provisional patent filed
·
CPT 99483 reimbursement pathway
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Physician of record: Maziar Zamani MD
What this demo shows
01
Patient Health Vault
A decade-long longitudinal record for Margaret Holloway — sealed entries from six reporter types, with live contradiction and drift detection running on every seal.
02
Physician Dashboard
Dr. Zamani's full panel of 10 patients — MoCA trajectories, CCI burden scores, active contradiction pairs, drift events, and CPT 99483 eligibility.
03
Patent Claim Architecture
Four claim clusters with plain-language explanations, algorithm schematics, prior art differentiators, and investor objection-rebuttal pairs.
Enter the platform
Patient Experience
Margaret's Health Vault
Ten years of sealed health entries across six reporting sources.
Watch the C2D algorithm surface a safety-level contradiction in real time.
Enter the Joy home screen — the caregiver's daily companion.
186 sealed entries
3 active contradictions
2 drift events
Joy AI companion
Family Circle
Enter Vault →
Physician Experience
Dr. Zamani's Dashboard
A full panel of 10 patients spanning every stage from new enrollment
to moderate dementia. Contradiction pairs, CCI burden scores, MoCA
trajectories, and CPT 99483 eligibility at a glance.
10 patients
5 CCI on file
9 CPT 99483 eligible
Pre-visit brief
Safety flags
Open Dashboard →
Patent claim clusters
CLUSTER 01
Immutable Health Vault
Sealed entry architecture with tamper-evident provenance tracking
CLUSTER 02
Contradiction Detection
C-Score algorithm: multi-source discordance with semantic scoring
CLUSTER 03
Drift Detection
D-Score longitudinal drift across lab values and cognitive domains
CLUSTER 04
Insight-Guided Follow-Up
IGFP: AI-generated prompts derived from contradiction and drift signals