HL7 / FHIREHR SystemsLab APIsOMIM
ORPHANETHAPI-FHIRCustom WebhooksDICOM
Integrations
Connect with hospital systems, labs, and external platforms to ensure smooth data exchange and workflow continuity.
IndiGeneUs.AI
Rare disease care involves complex datasets, fragmented workflows, and limited interoperability. IndiGeneUs.AI addresses this by creating a structured, unified system for clinical data and decision support.
The Platform
How IndiGeneUs.AI Reduces Clinical Effort
Designed to reduce manual effort across key clinical tasks, enabling faster and more structured workflows.
GENETICS
Map inheritance patterns without manual diagramming
Pedigree Editor
Create detailed family trees with an intuitive interface designed for clinical use. Easily map relationships, inheritance patterns, and patient history across generations.
- Drag-and-drop relationship builder
- Inheritance pattern visualization
- Direct integration with patient records
Clinical Intelligence
Clinical Decision Support System
Not another feature list — a fundamentally different approach to how AI supports rare disease diagnosis.
01
RAPID Score
Differential diagnosis ranked by probability, updated in real time as new clinical data is entered.
Differential Diagnosis
- 74%
Dravet Syndrome
G40.82
- 48%
GEFS+
G40.30
- 23%
Lennox-Gastaut
G40.812
- 15%
Angelman Syndrome
Q93.51
02
Data-Driven Reasoning
Every recommendation is traceable to specific evidence paths — phenotypic, genomic, and literature-based.
Evidence-Backed
Phenotypic Features12 matched
Genomic VariantsSCN1A detected
Literature Evidence47 publications
OMIM ClassificationConfirmed pathogenic
03
Compare Overlapping Diseases
Side-by-side comparison of phenotypically similar conditions to support clinical disambiguation.
Disease Disambiguation
Disease A
Dravet Syndrome
- Febrile seizures
- SCN1A variant
- Hypotonia
- Photosensitivity
Shared
- Epilepsy
- Dev. delay
- EEG changes
Disease B
Lennox-Gastaut
- Multiple sz. types
- Slow spike-wave
- Atonic seizures
- Cognitive impairment
Longitudinal Care
Track, Monitor, and Learn Over Time
Enable continuous care through longitudinal tracking and data-driven insights.
Long-term Follow-ups
Maintain structured patient records across multiple visits, enabling continuity in care and better outcome tracking.
- Continuity in care across consultations
- Outcome tracking over time
- Structured visit summaries
Analytical Dashboard
Visualize patient data, identify trends, and analyze cohorts to support clinical and research use cases.
- Live cohort visualizations across disease categories
- Exportable reports for research and grant submissions
- Institutional benchmarking on anonymized data
Infrastructure
Built for Real-World Deployment
Designed to integrate seamlessly into existing clinical and institutional environments.
Cloud-Based
Managed infrastructure, auto-scaling, zero operational overhead.
On-Premise
Full data sovereignty, custom infrastructure, air-gapped options.
Hybrid
Mix of cloud and on-premise based on data sensitivity policies.
Deployment Flexibility
Support both cloud-based and on-premise deployments based on institutional requirements and data policies.
Trust & Safety
Security & Compliance
Ensure data protection, privacy, and compliance with healthcare standards at every layer.
Clinical-grade Security
End-to-end encryption and secure infrastructure for sensitive patient data. SOC 2 Type II certified with zero-trust architecture.
Learn moreRole-based Access Control
Granular access permissions to ensure appropriate data usage across roles — clinicians, admins, researchers, and institutional leads.
Learn moreAudit & Compliance
Maintain complete audit trails and adhere to global healthcare data regulations including HIPAA, DPDP, and NHS standards.
Learn more
Different conversation,
depending on who you are
Take the stress out of UI design with ready-to-use content.
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