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Last updated: June 5, 2026
Back to directoryDyania Health Synapsis medical AI product profile
Clinical AI platform that reads medical records to support trial screening, registry abstraction, and real-world evidence workflows.
Precision medicine and data
Best fit
Research organizations that need faster chart review and eligibility screening while preserving study-team, clinician, IRB, and privacy controls.
- Primary use case
- AI-assisted chart review, clinical trial screening, protocol matching, registry abstraction, and real-world data extraction from medical records
- Audience
- Clinical research teams, health systems, sponsors, CROs, registry programs, and real-world evidence groups
- Risk level
- High
- Pricing signal
- Enterprise research, sponsor, and health-system pricing; request current terms.
- Official sources
- 4 official sources
Compare within workflow: Precision medicine and data · comparison shortlist · source index
Regulatory, privacy, evidence, and workflow lens
Product-specific review. These product-specific signals summarize what the cited sources imply before treating Dyania Health Synapsis as safe for a local clinical, operational, or research workflow.
| Regulatory / FDA | Treat as research operations, chart review, and evidence infrastructure unless a deployment directly changes patient care; confirm IRB, protocol, registry, and sponsor obligations before use. |
|---|---|
| Privacy | Review BAA terms, EHR access, PHI handling, role permissions, audit trails, retention, and whether sponsor-facing workflows expose identifiable or re-identifiable records. |
| Evidence | Validate extraction and matching accuracy against local charts, especially for nuanced criteria, dates, negation, biomarkers, medications, disease status, and missing data. |
| Workflow | Best used with explicit human confirmation steps before trial outreach, registry submission, protocol decisions, or real-world evidence conclusions. |
Where Dyania Health Synapsis fits
Dyania Health describes Synapsis as clinical AI for reading patient medical records and supporting tasks such as clinical trial matching, registry abstraction, real-world evidence, and protocol feasibility.
Not for: Patient outreach, enrollment, treatment selection, or registry submission without human confirmation and study-specific governance.
What to verify before using Dyania Health Synapsis
- Which Synapsis workflow is in scope: trial screening, protocol feasibility, registry abstraction, chart review, or real-world evidence extraction.
- Medical-record sources, NLP extraction accuracy, temporality handling, inclusion and exclusion logic, and traceability back to chart evidence.
- HIPAA, BAA, consent, IRB, sponsor-access, retention, and audit controls for identifiable patient records.
- How coordinators, investigators, clinicians, or abstractors confirm AI findings before outreach, enrollment, reporting, or evidence use.
Source links
Use these links to confirm current claims, terms, regulatory status, pricing, and deployment requirements.
- dyaniahealth.com
- dyaniahealth.com / synapsis-ai
- dyaniahealth.com / healthcare-systems
- dyaniahealth.com / privacy-policy
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