Resources
The evidence base for
our oncology AI
From clinical FAQs to peer-reviewed research โ everything you need to evaluate and trust Spiraldot Health.
Frequently Asked Questions
Common questions from oncology care teams, health system IT, and procurement.
Spiraldot Health is an AI clinical co-pilot built specifically for oncology care teams. It integrates with existing EHR systems to surface evidence-based treatment recommendations, flag drug interactions, and streamline documentation โ helping oncologists spend more time on patient care and less on information retrieval.
Yes. Spiraldot Health is fully HIPAA compliant and SOC 2 Type II certified. All patient data is encrypted at rest and in transit using AES-256 and TLS 1.3. We provide BAAs to all health system partners and run on HIPAA-eligible AWS services.
Spiraldot integrates with Epic, Cerner (Oracle Health), and other FHIR R4-compatible EHR platforms via our bi-directional FHIR API โ no custom middleware required. Integration timelines are typically 6โ10 weeks from contract to go-live.
General-purpose AI tools are not designed for clinical environments. They lack oncology-specific training, EHR integration, regulatory compliance, and the safety guardrails required in care settings. Spiraldot incorporates NCCN guideline alignment, curated clinical evidence, audit logs, and role-based access controls. Every recommendation is traceable and explainable.
No. Spiraldot is a decision-support tool โ a co-pilot, not an autopilot. It surfaces evidence-based options, relevant trial data, and risk signals to support the physician's judgment. All clinical decisions remain with the care team.
Spiraldot's AI is trained on a broad oncology corpus covering over 200 tumor types. For off-label treatments, the system surfaces supporting trial data, case series, and primary literature alongside standard-of-care guidelines โ giving clinicians a fuller evidence picture for complex cases.
Typical implementations take 6โ10 weeks from signed agreement to go-live, including EHR integration, security review, staff training, and phased rollout. We provide a dedicated implementation engineer and clinical success manager throughout. Typical time-to-first-value is under 30 days.
We offer flexible models including per-seat licensing and enterprise site licenses. Pricing scales with the size of your oncology practice or health system. Contact us for a custom quote โ we're happy to walk through ROI projections based on your clinical volume and workflow.
Product Comparison
How Spiraldot stacks up against general-purpose AI and legacy clinical decision support systems.
| Capability | Spiraldot Health | General AI (GPT-4 / Gemini) | Legacy CDSS |
|---|---|---|---|
| Oncology-specific training | โ | โ | Partial |
| NCCN guideline alignment | โ | โ | Partial |
| Native EHR integration (FHIR) | โ | โ | Partial |
| HIPAA compliant | โ | Enterprise only | โ |
| SOC 2 Type II certified | โ | Varies | Varies |
| Explainable AI (traceable citations) | โ | โ | Partial |
| Rare tumor coverage | 200+ types | General only | Limited |
| Drug interaction flagging | โ | โ | โ |
| Clinical trial matching | โ | โ | โ |
| AI documentation assistance | โ | Generic only | โ |
| Audit log & role-based access | โ | โ | Basic |
| Dedicated implementation support | โ | โ | Varies |
โ = Full support ยท Partial = Limited or conditional ยท โ = Not available. Based on publicly documented capabilities as of 2025.
White Papers & Clinical Evidence
Peer-reviewed research, clinical validation studies, and technical deep-dives from the Spiraldot Health team.
Technical
FHIR R4 Integration Architecture for AI Clinical Decision Support Systems
Outcomes
Reducing Oncologist Cognitive Load: Workflow Efficiency Gains with AI Co-Pilots
Market Analysis
The State of AI in Oncology 2025: Adoption Barriers, ROI, and the Road to Standard of Care
Outcomes
The ROI of AI in Oncology: A Conservative Model for Health System Finance Teams
Pharma & Biotech
Provider-Embedded Infrastructure for Trial Acceleration & Real-World Evidence: A Pharma Partner Guide
Clinical Trial Matching
Automated Trial Eligibility Screening: Expanding Patient Access to Novel Therapies
Ready to see it in action?
Request a live demo tailored to your oncology service line. Most demos take 30 minutes.