- Practical AI implementation.
- Measurable operational improvement.
- Honest execution.
Clinical Spotfire
Intelligence™
Executive-Grade Clinical Visualization Infrastructure
Clinical trials are not delayed because data is missing. They are delayed because insight arrives too late.
INNOVIZZ architects secure, sponsor-controlled Spotfire environments that transform SDTM and ADaM data into continuous operational intelligence. The result: compressed risk detection timelines, strengthened regulatory posture, and submission readiness stabilized from Day 1.
It is clinical intelligence infrastructure.
The Risk Most Sponsors Underestimate
Most sponsors already use Spotfire. Yet the majority operate well below its strategic potential.
- Dashboards remain template-bound.
- Refresh cycles are batch-dependent.
- Signal detection is reactive, not predictive.
- Visualization logic is CRO-controlled.
- Infrastructure is not aligned to ICH E6(R3) expectations.
The consequence is measurable. Operational blind spots. Late-stage firefighting. Compressed submission windows. Regulatory exposure that compounds with every delayed insight cycle.
ICH E6(R3) now establishes risk-based quality management as the backbone of GCP compliance, explicitly endorsing centralized monitoring, analytics dashboards, and continuous data governance.
Static visualization is no longer a limitation. It is a compliance liability.
In modern development programs, even single-digit week acceleration between data lock and submission materially impacts asset value.
Visualization is no longer cosmetic. It is strategic risk control.
Five Layers of Clinical Intelligence
From infrastructure architecture to AI-augmented signal detection. Each layer builds on the prior. Each is engineered for your environment.
On-Premise First. Infrastructure Sovereignty Always.
Many pharmaceutical organizations are not cloud-agnostic. And they should not be forced into a model that compromises data sovereignty for vendor convenience.
Cloud-native deployment (Azure or AWS) is available when appropriate. But infrastructure sovereignty always remains with the sponsor. Your data. Your environment. Your control.
- On-premise Spotfire Server deployment and validation
- Internal network isolation with sponsor-controlled environments
- GxP-aligned access controls and role-based governance
- Regulatory-compliant disaster recovery configuration
- Multi-study scalable architecture
- Performance optimization for enterprise data volumes
This is the capability that SaaS-first vendors cannot deliver. And it is the capability that ICH E6(R3) increasingly demands.
CDISC-Aligned Data Engineering
Visualization without structured data architecture is unstable. We engineer the pipeline that makes every dashboard defensible.
- Automated SDTM ingestion workflows
- ADaM mapping and derivation support
- Pinnacle 21 integration and continuous validation
- Metadata-driven ETL orchestration
- Submission-grade data structuring
- Continuous compliance monitoring
Protocol-Specific Dashboards
We do not deploy generic templates. We architect dashboards driven by your protocol. Every metric is intentional. Every view is defensible.
- Endpoint progression tracking
- Enrollment velocity heatmaps
- Adverse event signal clustering
- Lab shift anomaly detection
- PK/PD visual intelligence
- RBQM site risk scoring
- DMC-ready executive reporting layers
Near-Real-Time Oversight
We eliminate visualization latency. Spotfire becomes a living operational oversight layer, not a retrospective reporting tool.
- API-driven data ingestion
- Automated refresh orchestration
- EDC system integration (RAVE, Veeva, Oracle)
- Continuous anomaly triggers
- Signal-based alert workflows
- Role-specific intelligence views
AI-Augmented Signal Detection
Where appropriate, we integrate predictive intelligence. Visualization evolves from reporting into operational foresight.
- Predictive enrollment slowdown modeling
- Site outlier detection
- Adverse event cluster identification
- Risk scoring algorithms
- Adaptive anomaly detection
Deployed within INNOVIZZ's AMICA governance methodology. GxP validation aligned.
Three Phases to Operational Intelligence
Every engagement follows the AMICA methodology. Structured. Phased. Measurable at every gate.
Infrastructure Stabilization
4 to 8 Weeks- On-premise or secure cloud deployment
- Server configuration and validation
- Data pipeline implementation
- Baseline clinical dashboards
- Governance and compliance alignment
Intelligence Acceleration
6 to 12 Weeks- Endpoint-specific dashboard refinement
- AI signal integration
- Risk scoring and modeling
- DMC intelligence and executive reporting
Managed Clinical Intelligence
Ongoing- Continuous optimization and model refinement
- Multi-study expansion
- Performance tuning
- Submission acceleration support
Who This Is For
Phase II and III programs requiring infrastructure control and data sovereignty
Demanding earlier risk detection and continuous oversight capability
Seeking RBQM-aligned visualization that meets ICH E6(R3) expectations
Moving visualization logic from CRO-managed templates to sponsor-owned infrastructure
Organizations with hybrid or on-premise infrastructure mandates
Building intelligence depth as a competitive advantage
If your objective is cosmetic dashboards, this is not the right engagement.
If your objective is operational stability, regulatory alignment, and earlier risk detection, it is.
"When you partner with INNOVIZZ, you don't just get better. You gain capabilities your competitors cannot buy, build, or borrow."
Clinical visualization is not a design decision.
It is a strategic control decision.
Book a Clinical Spotfire
Intelligence Assessment
A confidential 30-minute executive review covering:
No generic audit. A strategic evaluation aligned to your protocol and operational goals.
