Phoenix

A unified, secure, and scalable platform transforming fragmented healthcare data into actionable insights

What is Phoenix?

Phoenix is Quantum Insights’ flagship data integration and analytics platform, purpose-built for clinical and translational research. It unifies EHRs, genomics, imaging, wearables, and real-world data into standardized, analytics-ready formats—fully compliant with HIPAA, GDPR, and global biobanking standards.

Key Features

Multimodal Data Integration: Connects EHRs, multi-omics, imaging (DICOM), wearables, and registries via FHIR APIs on an enterprise-grade data lake supporting real-time and batch processing—no data movement needed.
Smart Data Capture & Cleaning: Custom eCRFs, ML-enhanced pipelines, multilingual patient-reported outcomes, and digital consent tracking.
Secure Collaboration: Role-based access, federated authentication, encrypted environments, and domain-specific research workspaces.

Research & Revenue Enablement

Phoenix transforms curated healthcare data into a revenue-generating asset through secure, compliant licensing and research partnerships. By offering standardized, analytics-ready datasets, it empowers faster clinical trials, supports AI-driven discoveries, and attracts strategic collaborations with pharma, tech, and research institutions.

How Phoenix Adds Value

Proactive Care

AI risk models and tailored interventions improve outcomes and reduce costs, enabling scalable value-based care.

Breakthrough Research

Connects teams and datasets securely with bias-resistant frameworks to speed discoveries, ensuring reproducibility and compliance.

Ethical Data Ecosystems

Supports transparent, monetizable data sharing with encryption and governance—balancing safety, collaboration, and revenue.

Precision Care Powered by Real-Time Insights

Supports transparent, monetizable data sharing with encryption and governance—balancing safety, collaboration, and revenue.

Potential Business Case

Reproducibility in Clinical Data Analysis

Phoenix’s enterprise-grade data lake harmonizes clinical data from diverse EHRs via FHIR APIs, ensuring consistency and traceability across institutions. For example, it enables hospital networks to create standardized oncology cohorts regardless of data source. AI-powered analytics with version-controlled study definitions help clinicians validate findings across sites and time, reducing manual errors, improving decisions, enhancing audit readiness, and speeding evidence-based practice deployment.