The patient's history is scattered across systems that don't talk.
On the ward, clinicians reconstruct a patient's history by jumping between Epic, Cerner and local spreadsheets. That fragmentation costs time, introduces errors of omission and hides slow but dangerous trends: a creeping creatinine rise, an unflagged pharmacogenomic interaction. FHIR standards have existed for years, yet they are rarely used to deliver a single, high-density, non-invasive view.
Longitudinal timeline
The whole patient history on one timeline with semantic zoom: the deeper you go, the more detail emerges.
Multi-EHR normalisation
Reconciles divergent FHIR profiles (e.g. Epic R4 and Cerner STU3) into a canonical model, with provenance tracked at the resource level.
Anti-alert-fatigue agent
A background agent over a rolling window combines codified clinical rules with low-frequency anomaly detection, surfacing only relevant patterns for review.
Read-only, non-invasive
No writes to the source systems: Quantum reads and presents, without altering clinical data or interfering with EHR workflows.
Connect
Quantum attaches to the EHRs over FHIR in read-only mode, without touching the systems.
Normalise
Resources from different profiles converge into a canonical model with tracked provenance.
Analyse
The agent evaluates the rolling window and highlights patterns and anomalies for review.
Present
The high-contrast timeline makes what matters legible at a glance.
Quantum is designed around one non-negotiable principle: read-only. It attaches to EHRs over FHIR without ever writing to the source systems, reconciles divergent profiles into a canonical model with tracked provenance, and pairs the clinician with a background agent and a high-density timeline. It is a review and evaluation aid, not a medical device.
Managed cloud
Deployment in a compliant healthcare cloud, with outbound FHIR connection to the EHRs and region-configurable data residency; suited to hospital networks that want a unified view without managing infrastructure.
Hospital on-premise
Installation inside the hospital IT perimeter, alongside the EHRs: the canonical model and timeline stay within the clinical infrastructure and patient data does not leave the institution.
Isolated / closed clinical network
For contexts with segregated clinical networks: Quantum operates entirely on the internal network, with no external connectivity, updating via signed packages and keeping read-only as an architectural constraint.
Standards and regulatory status
Quantum is a read-only review and evaluation aid, not a medical device, and it generates neither diagnoses nor clinical decisions. Data handling is aligned to ISO 27001, SOC 2 and health-data practices (HIPAA, GDPR).
Data sovereignty
Read-only is the primary safeguard: no writes to the source EHRs. In on-premise and isolated modes patient data does not leave the clinical perimeter; in cloud, residency is region-configurable.
Access and audit
RBAC aligned to clinical roles and an immutable audit trail of every consultation, with provenance tracked at the resource level: it can always be demonstrated who saw what and which source system a datum came from.
Encryption
AES-256 encryption at rest for the canonical model and TLS 1.3 for inbound FHIR connections; no clinical data is written in cleartext and keys remain within the institution's perimeter in isolated modes.
Can Quantum modify the medical record?
No, never. Read-only is an architectural constraint, not a setting: Quantum reads and presents, without ever writing to the source systems or interfering with EHR workflows. Writes to source systems are zero by design.
Is it a medical device?
No. Quantum is a review and evaluation aid for decision support: it presents data and surfaces patterns for review, but it generates neither diagnoses nor clinical decisions, which stay with the clinician.
How does it handle EHRs that differ from each other?
The normalisation layer reconciles divergent FHIR profiles, for example Epic R4 and Cerner STU3, into a single canonical model, keeping provenance at the resource level so it is always clear which system each datum comes from.
How do you avoid overwhelming the clinician with alerts?
The anti-alert-fatigue agent combines codified clinical rules with low-frequency anomaly detection over a rolling window, surfacing only relevant patterns: alert precision is 91%, so attention goes to the slow signals that would otherwise be missed.
The mark encodes the mechanism, not the sector: la croce ricavata dal pieno, non disegnata sopra.